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2020 – today
- 2025
[j76]Radu Marculescu
, Jorge Sá Silva:
Editorial Special Section on Emerging Edge AI for Human-in-the-Loop Cyber Physical Systems. IEEE Trans. Emerg. Top. Comput. 13(1): 3-4 (2025)- [c177]Hiroki Matsutani, Masaaki Kondo, Kazuki Sunaga, Radu Marculescu:
Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost Edge Devices. ASP-DAC 2025: 51-57 - [c176]Allen-Jasmin Farcas, Radu Marculescu:
Demo Abstract: Lightweight Training and Inference for Self-Supervised Depth Estimation on Edge Devices. SenSys 2025: 714-715 - [c175]Tanvir Mahmud, Mustafa Munir, Radu Marculescu, Diana Marculescu:
Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior. WACV 2025: 940-949 - [c174]Xiwen Wei, Guihong Li, Radu Marculescu:
Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation. WACV 2025: 6634-6645 - [c173]Mustafa Munir, Md Mostafijur Rahman, Radu Marculescu:
RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone. WACV 2025: 8302-8312 - [i48]Sofia Hurtado, Radu Marculescu:
Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data. CoRR abs/2501.18531 (2025) - [i47]Tianrui Hu, Dimitrios Liakopoulos, Xiwen Wei, Radu Marculescu, Neeraja J. Yadwadkar:
Simulating Rumor Spreading in Social Networks using LLM Agents. CoRR abs/2502.01450 (2025) - 2024
- [j75]Mustafa Munir, Saloni Modi, Geffen Cooper, Huntae Kim, Radu Marculescu:
Three Decades of Low Power: From Watts to Wisdom. IEEE Access 12: 19447-19458 (2024) - [j74]Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu:
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7618-7635 (2024) - [c172]Geffen Cooper, Radu Marculescu:
Packet Pruning: Finding Better Energy Spending Policies for Batteryless Human Activity Recognition. BSN 2024: 1-4 - [c171]Hiroki Matsutani, Radu Marculescu:
A Tiny Supervised ODL Core with Auto Data Pruning for Human Activity Recognition. BSN 2024: 1-4 - [c170]Guihong Li, Hsiang Hsu, Chun-Fu Richard Chen, Radu Marculescu:
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CVPR Workshops 2024: 227-234 - [c169]Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu:
PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation. CVPR Workshops 2024: 4989-4995 - [c168]William Avery, Mustafa Munir, Radu Marculescu:
Scaling Graph Convolutions for Mobile Vision. CVPR Workshops 2024: 5857-5865 - [c167]Mustafa Munir, William Avery, Md Mostafijur Rahman, Radu Marculescu:
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs. CVPR 2024: 6118-6127 - [c166]Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu:
Cache and Reuse: Rethinking the Efficiency of On-device Transfer Learning. CVPR Workshops 2024: 8040-8049 - [c165]Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu:
EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation. CVPR 2024: 11769-11779 - [c164]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Machine Unlearning for Image-to-Image Generative Models. ICLR 2024 - [c163]Geffen Cooper, Radu Marculescu:
Beyond Thresholds: A General Approach to Sensor Selection for Practical Deep Learning-based HAR. IoTDI 2024: 1-12 - [c162]Allen-Jasmin Farcas, Myungjin Lee, Ali Payani, Hugo Latapie, Ramana Rao Kompella, Radu Marculescu:
CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning. IoTDI 2024: 122-133 - [c161]Allen-Jasmin Farcas, Geffen Cooper, Hyun Joon Song, Afnan Mir, Vincent Liew, Chloe Tang, Prithvi Senthilkumar, Tiani Chen-Troester, Radu Marculescu:
Demo Abstract: Online Training and Inference for On-Device Monocular Depth Estimation. IoTDI 2024: 221-222 - [c160]Geffen Cooper, Tianda Huang, Radu Marculescu:
Demo Abstract: A Prototype for Machine Learning with Batteryless Sensors. IoTDI 2024: 223-224 - [c159]Md Mostafijur Rahman, Radu Marculescu:
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation. WACV 2024: 7713-7722 - [i46]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Machine Unlearning for Image-to-Image Generative Models. CoRR abs/2402.00351 (2024) - [i45]Arash Amini, Yigit Ege Bayiz, Ashwin Ram, Radu Marculescu, Ufuk Topcu:
News Source Credibility Assessment: A Reddit Case Study. CoRR abs/2402.10938 (2024) - [i44]Yigit Ege Bayiz, Arash Amini, Radu Marculescu, Ufuk Topcu:
Susceptibility of Communities against Low-Credibility Content in Social News Websites. CoRR abs/2403.10705 (2024) - [i43]Mustafa Munir, William Avery, Md Mostafijur Rahman, Radu Marculescu:
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs. CoRR abs/2405.06849 (2024) - [i42]Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu:
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation. CoRR abs/2405.06880 (2024) - [i41]Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu:
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation. CoRR abs/2405.16740 (2024) - [i40]Tanvir Mahmud, Mustafa Munir, Radu Marculescu, Diana Marculescu:
Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior. CoRR abs/2406.04873 (2024) - [i39]William Avery, Mustafa Munir, Radu Marculescu:
Scaling Graph Convolutions for Mobile Vision. CoRR abs/2406.05850 (2024) - [i38]Hiroki Matsutani, Radu Marculescu:
A Tiny Supervised ODL Core with Auto Data Pruning for Human Activity Recognition. CoRR abs/2408.01283 (2024) - [i37]Ashwin Ram, Yigit Ege Bayiz, Arash Amini, Mustafa Munir, Radu Marculescu:
CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit. CoRR abs/2410.12061 (2024) - [i36]Hiroki Matsutani, Masaaki Kondo, Kazuki Sunaga, Radu Marculescu:
Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost Edge Devices. CoRR abs/2410.21073 (2024) - [i35]Xiwen Wei, Guihong Li, Radu Marculescu:
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation. CoRR abs/2411.05663 (2024) - [i34]Arash Amini, Yigit Ege Bayiz, Eun-Ju Lee, Zeynep Somer-Topcu, Radu Marculescu, Ufuk Topcu:
How Media Competition Fuels the Spread of Misinformation. CoRR abs/2411.15677 (2024) - [i33]Mustafa Munir, Md Mostafijur Rahman, Radu Marculescu:
RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone. CoRR abs/2412.10995 (2024) - 2023
- [j73]Oscar Torres Sanchez, Duarte M. G. Raposo, André Rodrigues, Fernando Boavida, Radu Marculescu, Kongyang Chen, Jorge Sá Silva:
An IIoT-Based Approach to the Integrated Management of Machinery in the Construction Industry. IEEE Access 11: 6331-6350 (2023) - [j72]Allen-Jasmin Farcas, Radu Marculescu:
Teaching Edge AI at the Undergraduate Level: A Hardware-Software Co-Design Approach. Computer 56(11): 30-38 (2023) - [j71]Zihui Xue, Yuedong Yang, Radu Marculescu:
SUGAR: Efficient Subgraph-Level Training via Resource-Aware Graph Partitioning. IEEE Trans. Computers 72(11): 3167-3177 (2023) - [j70]Ümit Y. Ogras, Radu Marculescu, Trevor N. Mudge, Michael Kishinevsky:
Introduction to the Special Issue on Domain-Specific System-on-Chip Architectures and Run-Time Management Techniques. ACM Trans. Embed. Comput. Syst. 22(2): 27:1-27:3 (2023) - [j69]Anish Krishnakumar, Ümit Y. Ogras, Radu Marculescu, Michael Kishinevsky, Trevor N. Mudge:
Domain-Specific Architectures: Research Problems and Promising Approaches. ACM Trans. Embed. Comput. Syst. 22(2): 28:1-28:26 (2023) - [j68]A. Alper Goksoy, Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu:
CANNON: Communication-Aware Sparse Neural Network Optimization. IEEE Trans. Emerg. Top. Comput. 11(4): 882-894 (2023) - [c158]Sofia Hurtado, Radu Marculescu:
Quarantine in Motion: A Graph Learning and Multi-Agent Reinforcement Learning Framework to Reduce Disease Transmission Without Lockdown. ASONAM 2023: 82-89 - [c157]Mustafa Munir, William Avery, Radu Marculescu:
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications. CVPR Workshops 2023: 2211-2219 - [c156]Zihui Xue, Radu Marculescu:
Dynamic Multimodal Fusion. CVPR Workshops 2023: 2575-2584 - [c155]Yuedong Yang, Guihong Li, Radu Marculescu:
Efficient On-Device Training via Gradient Filtering. CVPR 2023: 3811-3820 - [c154]Duc N. M. Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang:
Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph. ICLR 2023 - [c153]Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu:
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients. ICLR 2023 - [c152]Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu:
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. ICML 2023: 19343-19359 - [c151]Allen-Jasmin Farcas, Myungjin Lee, Ramana Rao Kompella, Hugo Latapie, Gustavo de Veciana, Radu Marculescu:
MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning. IoTDI 2023: 249-261 - [c150]Jorge Eduardo Rivadeneira, María B. Jiménez, Radu Marculescu, André Rodrigues, Fernando Boavida, Jorge Sá Silva:
A Blockchain-Based Privacy-Preserving Model for Consent and Transparency in Human-Centered Internet of Things. IoTDI 2023: 301-314 - [c149]Allen-Jasmin Farcas, Radu Marculescu:
Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity. IoTDI 2023: 486-487 - [c148]Md Mostafijur Rahman, Radu Marculescu:
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. MIDL 2023: 1526-1544 - [c147]Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu:
Efficient Low-rank Backpropagation for Vision Transformer Adaptation. NeurIPS 2023 - [c146]Md Mostafijur Rahman, Radu Marculescu:
Medical Image Segmentation via Cascaded Attention Decoding. WACV 2023: 6211-6220 - [i32]Yuedong Yang, Guihong Li, Radu Marculescu:
Efficient On-device Training via Gradient Filtering. CoRR abs/2301.00330 (2023) - [i31]Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu:
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients. CoRR abs/2301.11300 (2023) - [i30]Md Mostafijur Rahman, Radu Marculescu:
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. CoRR abs/2303.16892 (2023) - [i29]Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu:
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. CoRR abs/2305.08021 (2023) - [i28]Mustafa Munir, William Avery, Radu Marculescu:
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications. CoRR abs/2307.00395 (2023) - [i27]Guihong Li, Duc Hoang, Kartikeya Bhardwaj, Ming Lin, Zhangyang Wang, Radu Marculescu:
Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities. CoRR abs/2307.01998 (2023) - [i26]Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu:
Efficient Low-rank Backpropagation for Vision Transformer Adaptation. CoRR abs/2309.15275 (2023) - [i25]Md Mostafijur Rahman, Radu Marculescu:
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation. CoRR abs/2310.16175 (2023) - [i24]Guihong Li, Hsiang Hsu, Chun-Fu Chen, Radu Marculescu:
Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. CoRR abs/2312.14923 (2023) - 2022
- [j67]A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs. IEEE Embed. Syst. Lett. 14(1): 51-54 (2022) - [c145]Sofia Hurtado, Radu Marculescu, Justin A. Drake:
Quarantine in Motion: A Graph Learning Framework to Reduce Disease Transmission Without Lockdown. ASONAM 2022: 454-461 - [c144]Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Marculescu:
Model elasticity for hardware heterogeneity in federated learning systems. FedEdge@MobiCom 2022: 19-24 - [c143]Anish Krishnakumar, Radu Marculescu, Ümit Y. Ogras:
INDENT: Incremental Online Decision Tree Training for Domain-Specific Systems-on-Chip. ICCAD 2022: 164:1-164:9 - [c142]Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, Ilkin Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John S. Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, Ming-Hung Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Yukang Fu, A. Alper Goksoy, Xin He, Md Sahil Hassan, Andrew Herschfelt, Jacob Holtom, Hun-Seok Kim, A. N. Krishnakumar, Yang Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, Brittany M. McCall, Trevor N. Mudge, Ümit Y. Ogras, Vishrut Pandey, Saquib Ahmad Siddiqui, Yu-Hsiu Sun, Adarsh A. Venkataramani, Xiangdong Wei, B. R. Willis, Hanguang Yu, Yufan Yue:
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor. ISCAS 2022: 443-447 - [c141]Dawei Liang, Guihong Li, Rebecca Adaimi, Radu Marculescu, Edison Thomaz:
AudioIMU: Enhancing Inertial Sensing-Based Activity Recognition with Acoustic Models. ISWC 2022: 44-48 - [i23]Zihui Xue, Yuedong Yang, Mengtian Yang, Radu Marculescu:
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning. CoRR abs/2202.00075 (2022) - [i22]Zihui Xue, Radu Marculescu:
Dynamic Multimodal Fusion. CoRR abs/2204.00102 (2022) - 2021
- [j66]Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu:
EdgeAl: A Vision for Deep Learning in the IoT Era. IEEE Des. Test 38(4): 37-43 (2021) - [j65]Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu:
FLASH: Fast Neural Architecture Search with Hardware Optimization. ACM Trans. Embed. Comput. Syst. 20(5s): 63:1-63:26 (2021) - [c140]Sofia Hurtado, Radu Marculescu, Justin A. Drake, Ravi Srinivasan:
Pruning digital contact networks for meso-scale epidemic surveillance using foursquare data. ASONAM 2021: 423-430 - [c139]Yuedong Yang, Zihui Xue, Radu Marculescu:
Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices. CoRL 2021: 609-618 - [c138]Kartikeya Bhardwaj, Guihong Li, Radu Marculescu:
How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections? CVPR 2021: 13498-13507 - [i21]Guihong Li, Sumit K. Mandal, Ümit Y. Ogras, Radu Marculescu:
FLASH: Fast Neural Architecture Search with Hardware Optimization. CoRR abs/2108.00568 (2021) - [i20]A. Alper Goksoy, Anish Krishnakumar, Md Sahil Hassan, Allen-Jasmin Farcas, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs. CoRR abs/2109.11069 (2021) - 2020
- [j64]Anderson L. Sartor, Anish Krishnakumar, Samet E. Arda, Ümit Y. Ogras, Radu Marculescu:
HiLITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs. IEEE Comput. Archit. Lett. 19(1): 63-67 (2020) - [j63]Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Nirmal Kumbhare, Joshua Mack, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework. IEEE Trans. Computers 69(8): 1248-1262 (2020) - [j62]Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu:
Runtime Task Scheduling Using Imitation Learning for Heterogeneous Many-Core Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 4064-4077 (2020) - [c137]Allen-Jasmin Farcas, Guihong Li, Kartikeya Bhardwaj, Radu Marculescu:
A Hardware Prototype Targeting Distributed Deep Learning for On-device Inference. CVPR Workshops 2020: 1600-1601 - [c136]Kartikeya Bhardwaj, Wei Chen, Radu Marculescu:
INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. DAC 2020: 1-6 - [c135]Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura:
On Network Science and Mutual Information for Explaining Deep Neural Networks. ICASSP 2020: 8399-8403 - [c134]Radu Marculescu, Diana Marculescu, Ümit Y. Ogras:
Edge AI: Systems Design and ML for IoT Data Analytics. KDD 2020: 3565-3566 - [c133]Chingyi Lin, Radu Marculescu:
Model Personalization for Human Activity Recognition. PerCom Workshops 2020: 1-7 - [c132]Wei Chen, Kartikeya Bhardwaj, Radu Marculescu:
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. ECML/PKDD (2) 2020: 348-363 - [i19]Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Nirmal Kumbhare, Joshua Mack, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework. CoRR abs/2003.09016 (2020) - [i18]Wei Chen, Kartikeya Bhardwaj, Radu Marculescu:
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. CoRR abs/2004.03657 (2020) - [i17]Alexandru Topirceanu, Mihai Udrescu, Radu Marculescu:
Centralized and decentralized isolation strategies and their impact on the COVID-19 pandemic dynamics. CoRR abs/2004.04222 (2020) - [i16]Anish Krishnakumar, Samet E. Arda, A. Alper Goksoy, Sumit K. Mandal, Ümit Y. Ogras, Anderson L. Sartor, Radu Marculescu:
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems. CoRR abs/2007.09361 (2020) - [i15]Kartikeya Bhardwaj, Wei Chen, Radu Marculescu:
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. CoRR abs/2008.10805 (2020)
2010 – 2019
- 2019
- [j61]Chieh Lo, Radu Marculescu:
MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks. BMC Bioinform. 20-S(12): 314:1-314:14 (2019) - [j60]Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. IEEE Trans. Computers 68(6): 852-866 (2019) - [j59]Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu:
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. ACM Trans. Embed. Comput. Syst. 18(5s): 82:1-82:22 (2019) - [c131]Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
A simulation framework for domain-specific system-on-chips: work-in-progress. CODES+ISSS 2019: 3:1-3:2 - [c130]Sofia Hurtado, Poushali Ray, Radu Marculescu:
Bot Detection in Reddit Political Discussion. SocialSens@CPSIoTWeek 2019: 30-35 - [c129]Anderson Luiz Sartor, Pedro Henrique Exenberger Becker, Stephan Wong, Radu Marculescu, Antonio Carlos Schneider Beck:
Machine Learning-Based Processor Adaptability Targeting Energy, Performance, and Reliability. ISVLSI 2019: 158-163 - [i14]Brian Davis, Umang Bhatt, Kartikeya Bhardwaj, Radu Marculescu, José M. F. Moura:
NIF: A Framework for Quantifying Neural Information Flow in Deep Networks. CoRR abs/1901.08557 (2019) - [i13]Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu:
Dream Distillation: A Data-Independent Model Compression Framework. CoRR abs/1905.07072 (2019) - [i12]Kartikeya Bhardwaj, Chingyi Lin, Anderson L. Sartor, Radu Marculescu:
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT. CoRR abs/1907.11804 (2019) - [i11]Samet E. Arda, Anish Krishnakumar, A. Alper Goksoy, Joshua Mack, Nirmal Kumbhare, Anderson L. Sartor, Ali Akoglu, Radu Marculescu, Ümit Y. Ogras:
Work-in-Progress: A Simulation Framework for Domain-Specific System-on-Chips. CoRR abs/1908.03664 (2019) - [i10]Kartikeya Bhardwaj, Radu Marculescu:
Towards Unifying Neural Architecture Space Exploration and Generalization. CoRR abs/1910.00780 (2019) - [i9]Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu:
EdgeAI: A Vision for Deep Learning in IoT Era. CoRR abs/1910.10356 (2019) - 2018
- [j58]Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis. Computer 51(7): 66-77 (2018) - [j57]Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems. IEEE Trans. Computers 67(5): 672-686 (2018) - [c128]Chieh Lo, Radu Marculescu:
MetaNN: Accurate Classification of Host Phenotypes From Metagenomic Data Using Neural Networks. BCB 2018: 608-609 - [c127]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Hybrid on-chip communication architectures for heterogeneous manycore systems. ICCAD 2018: 62 - [c126]Kartikeya Bhardwaj, Radu Marculescu:
Dimensionality Reduction via Community Detection in Small Sample Datasets. PAKDD (3) 2018: 102-114 - [i8]Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. CoRR abs/1810.08869 (2018) - [i7]Jiqian Dong, Gopaljee Atulya, Kartikeya Bhardwaj, Radu Marculescu:
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery. CoRR abs/1812.00141 (2018) - [i6]Anshul Goyal, Kartikeya Bhardwaj, Radu Marculescu:
Climate Anomalies vs Air Pollution: Carbon Emissions and Anomaly Networks. CoRR abs/1812.02634 (2018) - 2017
- [j56]Chieh Lo, Kartikeya Bhardwaj, Radu Marculescu:
Towards cell-based therapeutics: A bio-inspired autonomous drug delivery system. Nano Commun. Networks 12: 25-33 (2017) - [j55]Chieh Lo, Radu Marculescu:
MPLasso: Inferring microbial association networks using prior microbial knowledge. PLoS Comput. Biol. 13(12) (2017) - [j54]Kartikeya Bhardwaj, Radu Marculescu:
Non-Stationary Bayesian Learning for Global Sustainability. IEEE Trans. Sustain. Comput. 2(3): 304-316 (2017) - [j53]Ryan Gary Kim, Wonje Choi, Zhuo Chen, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Imitation Learning for Dynamic VFI Control in Large-Scale Manycore Systems. IEEE Trans. Very Large Scale Integr. Syst. 25(9): 2458-2471 (2017) - [c125]Chieh Lo, Radu Marculescu:
Inferring Microbial Interactions from Metagenomic Time-series Using Prior Biological Knowledge. BCB 2017: 168-177 - [c124]Kartikeya Bhardwaj, Radu Marculescu:
K-hop learning: a network-based feature extraction for improved river flow prediction. CySWATER@CPSWeek 2017: 15-18 - [c123]Filipe Condessa, Radu Marculescu:
From Ideas to Social Signals: Spatiotemporal Analysis of Social Media Dynamics. SocialSens@CPSWeek 2017: 29-34 - [c122]Ruizhou Ding, Dimitrios Stamoulis, Kartikeya Bhardwaj, Diana Marculescu, Radu Marculescu:
Enhancing precipitation models by capturing multivariate and multiscale climate dynamics. CySWATER@CPSWeek 2017: 39-42 - [c121]Kartikeya Bhardwaj, HingOn Miu, Radu Marculescu:
Discovering Hidden Knowledge in Carbon Emissions Data: A Multilayer Network Approach. DS 2017: 223-238 - [c120]Radu Marculescu:
HiCOMB Keynote. IPDPS Workshops 2017: 252 - [c119]Sohil Shah, Ashwin Raghavachari, Chieh Lo, Radu Marculescu:
Molecular communication with DNA cellular storage system. NANOCOM 2017: 24:1-24:6 - [c118]Biresh Kumar Joardar, Wonje Choi, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
3D NoC-Enabled Heterogeneous Manycore Architectures for Accelerating CNN Training: Performance and Thermal Trade-offs. NOCS 2017: 18:1-18:8 - [i5]Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis. CoRR abs/1712.00076 (2017) - [i4]Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems. CoRR abs/1712.02293 (2017) - 2016
- [j52]Alexandru Topirceanu, Mihai Udrescu, Mircea Vladutiu, Radu Marculescu:
Tolerance-based interaction: a new model targeting opinion formation and diffusion in social networks. PeerJ Comput. Sci. 2: e42 (2016) - [j51]Ryan Gary Kim, Wonje Choi, Guangshuo Liu, Ehsan Mohandesi, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Wireless NoC for VFI-Enabled Multicore Chip Design: Performance Evaluation and Design Trade-Offs. IEEE Trans. Computers 65(4): 1323-1336 (2016) - [j50]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
A Support Vector Regression (SVR)-Based Latency Model for Network-on-Chip (NoC) Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(3): 471-484 (2016) - [j49]Zhiliang Qian, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu:
Performance Evaluation of NoC-Based Multicore Systems: From Traffic Analysis to NoC Latency Modeling. ACM Trans. Design Autom. Electr. Syst. 21(3): 52:1-52:38 (2016) - [j48]Ryan Gary Kim, Wonje Choi, Zhuo Chen, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Wireless NoC and Dynamic VFI Codesign: Energy Efficiency Without Performance Penalty. IEEE Trans. Very Large Scale Integr. Syst. 24(7): 2488-2501 (2016) - [c117]Wonje Choi, Karthi Duraisamy, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Radu Marculescu, Diana Marculescu:
Hybrid network-on-chip architectures for accelerating deep learning kernels on heterogeneous manycore platforms. CASES 2016: 13:1-13:10 - [c116]Chieh Lo, Radu Marculescu:
Autonomous and Adaptive Control of Populations of Bacteria Through Environment Regulation. CMSB 2016: 168-185 - [c115]Simon J. Hollis, Edward Ma, Radu Marculescu:
nOS: A nano-sized distributed operating system for many-core embedded systems. ICCD 2016: 177-184 - [c114]Chieh Lo, Kartikeya Bhardwaj, Radu Marculescu:
An Autonomous and Adaptive Bacteria-based Drug Delivery System. NANOCOM 2016: 19:1-19:6 - 2015
- [c113]Guopeng Wei, Connor Walsh, Irina Cazan, Radu Marculescu:
Molecular tweeting: unveiling the social network behind heterogeneous bacteria populations. BCB 2015: 366-375 - [c112]Karthi Duraisamy, Ryan Gary Kim, Wonje Choi, Guangshuo Liu, Partha Pratim Pande, Radu Marculescu, Diana Marculescu:
Energy efficient MapReduce with VFI-enabled multicore platforms. DAC 2015: 6:1-6:6 - [c111]Partha Pratim Pande, Ryan Gary Kim, Wonje Choi, Zhuo Chen, Diana Marculescu, Radu Marculescu:
The (Low) Power of Less Wiring: Enabling Energy Efficiency in Many-Core Platforms Through Wireless NoC. ICCAD 2015: 165-169 - [c110]Ronald D. Blanton, Xin Li, Ken Mai, Diana Marculescu, Radu Marculescu, Jeyanandh Paramesh, Jeff G. Schneider, Donald E. Thomas:
Statistical Learning in Chip (SLIC). ICCAD 2015: 664-669 - [c109]Chieh Lo, Guopeng Wei, Radu Marculescu:
Towards Autonomous Control of Molecular Communication in Populations of Bacteria. NANOCOM 2015: 29:1-29:6 - [i3]Alexandru Topirceanu, Mihai Udrescu, Mircea Vladutiu, Radu Marculescu:
Tolerance-based interaction: A new model targeting opinion formation and diffusion in social networks. PeerJ Prepr. 3: e1322 (2015) - 2014
- [j47]Guopeng Wei, Radu Marculescu:
Miniature Devices in the Wild: Modeling Molecular Communication in Complex Extracellular Spaces. IEEE J. Sel. Areas Commun. 32(12): 2344-2353 (2014) - [j46]Simon J. Hollis, Chris Jackson, Paul Bogdan, Radu Marculescu:
Exploiting Emergence in On-Chip Interconnects. IEEE Trans. Computers 63(3): 570-582 (2014) - [c108]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
A comprehensive and accurate latency model for Network-on-Chip performance analysis. ASP-DAC 2014: 323-328 - [c107]Ryan Gary Kim, Guangshuo Liu, Paul Wettin, Radu Marculescu, Diana Marculescu, Partha Pratim Pande:
Energy-efficient VFI-partitioned multicore design using wireless NoC architectures. CASES 2014: 3:1-3:9 - [c106]Hiroki Matsutani, Michihiro Koibuchi, Ikki Fujiwara, Takahiro Kagami, Yasuhiro Take, Tadahiro Kuroda, Paul Bogdan, Radu Marculescu, Hideharu Amano:
Low-latency wireless 3D NoCs via randomized shortcut chips. DATE 2014: 1-6 - [c105]Ronald D. Blanton, Xin Li, Ken Mai, Diana Marculescu, Radu Marculescu, Jeyanandh Paramesh, Jeff G. Schneider, Donald E. Thomas:
SLIC: Statistical learning in chip. ISIC 2014: 119-123 - [c104]Guopeng Wei, Radu Marculescu:
Don't Let History Repeat Itself: Optimal Multidrug Quorum Quenching of Pathogens Network. NANOCOM 2014: 20:1-20:9 - [c103]Yuankun Xue, Zhiliang Qian, Guopeng Wei, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu:
An efficient Network-on-Chip (NoC) based multicore platform for hierarchical parallel genetic algorithms. NOCS 2014: 17-24 - [c102]Radu Marculescu, Partha Pratim Pande, Deuk Hyoun Heo, Hiroki Matsutani:
Introduction to the special session on "Interconnect enhances architecture: Evolution of wireless NoC from planar to 3D". NOCS 2014: 174-175 - [e4]Radu Marculescu, Gabriela Nicolescu:
2014 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2014, Uttar Pradesh, India, October 12-17, 2014. ACM 2014 [contents] - 2013
- [b1]Ümit Y. Ogras, Radu Marculescu:
Modeling, Analysis and Optimization of Network-on-Chip Communication Architectures. Lecture Notes in Electrical Engineering 184, Springer 2013, ISBN 978-94-007-3957-4, pp. 1-155 - [j45]Guopeng Wei, Paul Bogdan, Radu Marculescu:
Efficient Modeling and Simulation of Bacteria-Based Nanonetworks with BNSim. IEEE J. Sel. Areas Commun. 31(12-Supplement): 868-878 (2013) - [j44]Guopeng Wei, Paul Bogdan, Radu Marculescu:
Bumpy Rides: Modeling the Dynamics of Chemotactic Interacting Bacteria. IEEE J. Sel. Areas Commun. 31(12-Supplement): 879-890 (2013) - [j43]Paul Bogdan, Siddharth Jain, Radu Marculescu:
Pacemaker control of heart rate variability: A cyber physical system perspective. ACM Trans. Embed. Comput. Syst. 12(1s): 50:1-50:22 (2013) - [j42]Paul Bogdan, Radu Marculescu, Siddharth Jain:
Dynamic power management for multidomain system-on-chip platforms: An optimal control approach. ACM Trans. Design Autom. Electr. Syst. 18(4): 46:1-46:20 (2013) - [c101]Hiroki Matsutani, Paul Bogdan, Radu Marculescu, Yasuhiro Take, Daisuke Sasaki, Hao Zhang, Michihiro Koibuchi, Tadahiro Kuroda, Hideharu Amano:
A case for wireless 3D NoCs for CMPs. ASP-DAC 2013: 23-28 - [c100]Huan-Kai Peng, Radu Marculescu:
Identifying dynamics and collective behaviors in microblogging traces. ASONAM 2013: 846-853 - [c99]Radu Marculescu, Preeti Ranjan Panda:
Message from the program co-chairs. CODES+ISSS 2013 - [c98]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
SVR-NoC: a performance analysis tool for network-on-chips using learning-based support vector regression model. DATE 2013: 354-357 - [c97]Ibrahim M. Elfadel, Radu Marculescu, David Atienza:
Closed-loop control for power and thermal management in multi-core processors: formal methods and industrial practice. DATE 2013: 1879-1881 - [c96]Zhiliang Qian, Paul Bogdan, Chi-Ying Tsui, Radu Marculescu:
Performance evaluation of multicore systems: from traffic analysis to latency predictions (embedded tutorial). ICCAD 2013: 82-84 - [c95]Radu Marculescu:
Design of future integrated systems: A cyber-physical systems approach. PATMOS 2013: 1 - 2012
- [j41]Siddharth Garg, Diana Marculescu, Radu Marculescu:
Technology-driven limits on runtime power management algorithms for multiprocessor systems-on-chip. ACM J. Emerg. Technol. Comput. Syst. 8(4): 28:1-28:17 (2012) - [c94]Zhiliang Qian, Paul Bogdan, Guopeng Wei, Chi-Ying Tsui, Radu Marculescu:
A traffic-aware adaptive routing algorithm on a highly reconfigurable network-on-chip architecture. CODES+ISSS 2012: 161-170 - [c93]Paul Bogdan, Guopeng Wei, Radu Marculescu:
Modeling populations of micro-robots for biological applications. ICC 2012: 6188-6192 - [c92]Paul Bogdan, Siddharth Jain, Kartikeya Goyal, Radu Marculescu:
Implantable Pacemakers Control and Optimization via Fractional Calculus Approaches: A Cyber-Physical Systems Perspective. ICCPS 2012: 23-32 - [c91]Paul Bogdan, Radu Marculescu, Siddharth Jain, Rafael Tornero Gavilá:
An Optimal Control Approach to Power Management for Multi-Voltage and Frequency Islands Multiprocessor Platforms under Highly Variable Workloads. NOCS 2012: 35-42 - [c90]Radu David, Paul Bogdan, Radu Marculescu:
Dynamic power management for multicores: Case study using the intel SCC. VLSI-SoC 2012: 147-152 - 2011
- [j40]Kees Goossens, Radu Marculescu:
Special Issue on Networks-on-Chips: Design Flows and Case Studies. Des. Autom. Embed. Syst. 15(2): 87-88 (2011) - [j39]Radu Marculescu, Paul Bogdan:
Cyberphysical Systems: Workload Modeling and Design Optimization. IEEE Des. Test Comput. 28(4): 78-87 (2011) - [j38]Maurizio Palesi, Shashi Kumar, Radu Marculescu:
Network-on-chip architectures and design methodologies. Microprocess. Microsystems 35(2): 83-84 (2011) - [j37]Paul Bogdan, Radu Marculescu:
Non-Stationary Traffic Analysis and Its Implications on Multicore Platform Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(4): 508-519 (2011) - [j36]Paul Bogdan, Radu Marculescu:
Hitting Time Analysis for Fault-Tolerant Communication at Nanoscale in Future Multiprocessor Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(8): 1197-1210 (2011) - [c89]Paul Bogdan, Radu Marculescu:
A fractional calculus approach to modeling fractal dynamic games. CDC/ECC 2011: 255-260 - [c88]Chen-Ling Chou, Radu Marculescu:
FARM: Fault-aware resource management in NoC-based multiprocessor platforms. DATE 2011: 673-678 - [c87]Partha Pratim Pande, Fabien Clermidy, Diego Puschini, Imen Mansouri, Paul Bogdan, Radu Marculescu, Amlan Ganguly:
Sustainability through massively integrated computing: Are we ready to break the energy efficiency wall for single-chip platforms? DATE 2011: 1656-1661 - [c86]Paul Bogdan, Radu Marculescu:
Towards a Science of Cyber-Physical Systems Design. ICCPS 2011: 99-108 - [c85]Radu David, Paul Bogdan, Radu Marculescu, Ümit Y. Ogras:
Dynamic power management of voltage-frequency island partitioned Networks-on-Chip using Intel's Single-chip Cloud Computer. NOCS 2011: 257-258 - [c84]Guopeng Wei, Paul Bogdan, Radu Marculescu:
A software framework for trace analysis targeting multicore platforms design. NOCS 2011: 259-260 - [c83]Chen-Ling Chou, Radu Marculescu, Ümit Y. Ogras, Satrajit Chatterjee, Michael Kishinevsky, Dmitrii Loukianov:
System interconnect design exploration for embedded MPSoCs. SLIP 2011: 1-8 - [e3]Radu Marculescu, Michael Kishinevsky, Ran Ginosar, Karam S. Chatha:
NOCS 2011, Fifth ACM/IEEE International Symposium on Networks-on-Chip, Pittsburgh, Pennsylvania, USA, May 1-4, 2011. ACM/IEEE Computer Society 2011, ISBN 978-1-4503-0720-8 [contents] - 2010
- [j35]Radu Marculescu:
On-chip networks: Two sides of the same coin. IEEE Des. Test Comput. 27(4): 80 (2010) - [j34]Chen-Ling Chou, Radu Marculescu:
Run-Time Task Allocation Considering User Behavior in Embedded Multiprocessor Networks-on-Chip. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(1): 78-91 (2010) - [j33]Radu Marculescu, Axel Jantsch:
Guest Editorial: Special Section on the ACM/IEEE Symposium on Networks-on-Chip 2009. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(6): 853-854 (2010) - [j32]Chen-Ling Chou, Radu Marculescu:
Designing Heterogeneous Embedded Network-on-Chip Platforms With Users in Mind. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(9): 1301-1314 (2010) - [j31]Ümit Y. Ogras, Paul Bogdan, Radu Marculescu:
An Analytical Approach for Network-on-Chip Performance Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(12): 2001-2013 (2010) - [c82]Paul Bogdan, Radu Marculescu:
Workload characterization and its impact on multicore platform design. CODES+ISSS 2010: 231-240 - [c81]Radu Marculescu, Christof Teuscher, Partha Pratim Pande:
Unconventional fabrics, architectures, and models for future multi-core systems. CODES+ISSS 2010: 327-328 - [c80]Chen-Ling Chou, Anca M. Miron, Radu Marculescu:
Find your flow: increasing flow experience by designing "human" embedded systems. DAC 2010: 619-620 - [c79]Radu Marculescu:
Power management in multicore systems-on-chip. Green Computing Conference 2010: 521 - [c78]Siddharth Garg, Diana Marculescu, Radu Marculescu:
Custom feedback control: enabling truly scalable on-chip power management for MPSoCs. ISLPED 2010: 425-430 - [c77]Paul Bogdan, Miray Kas, Radu Marculescu, Onur Mutlu:
QuaLe: A Quantum-Leap Inspired Model for Non-stationary Analysis of NoC Traffic in Chip Multi-processors. NOCS 2010: 241-248
2000 – 2009
- 2009
- [j30]Radu Marculescu, Paul Bogdan:
The Chip Is the Network: Toward a Science of Network-on-Chip Design. Found. Trends Electron. Des. Autom. 2(4): 371-461 (2009) - [j29]Radu Marculescu, Ümit Y. Ogras, Li-Shiuan Peh, Natalie D. Enright Jerger, Yatin Vasant Hoskote:
Outstanding Research Problems in NoC Design: System, Microarchitecture, and Circuit Perspectives. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(1): 3-21 (2009) - [j28]Ümit Y. Ogras, Radu Marculescu, Diana Marculescu, Eun-Gu Jung:
Design and Management of Voltage-Frequency Island Partitioned Networks-on-Chip. IEEE Trans. Very Large Scale Integr. Syst. 17(3): 330-341 (2009) - [c76]Paul Bogdan, Radu Marculescu:
Statistical physics approaches for network-on-chip traffic characterization. CODES+ISSS 2009: 461-470 - [c75]Siddharth Garg, Diana Marculescu, Radu Marculescu, Ümit Y. Ogras:
Technology-driven limits on DVFS controllability of multiple voltage-frequency island designs: a system-level perspective. DAC 2009: 818-821 - [c74]Chen-Ling Chou, Radu Marculescu:
User-centric design space exploration for heterogeneous Network-on-Chip platforms. DATE 2009: 15-20 - [c73]Radu Marculescu:
Toward a science for future NoC design. NoCArc@MICRO 2009: 1 - 2008
- [j27]Naresh R. Shanbhag, Subhasish Mitra, Gustavo de Veciana, Michael Orshansky, Radu Marculescu, Jaijeet S. Roychowdhury, Douglas L. Jones, Jan M. Rabaey:
The Search for Alternative Computational Paradigms. IEEE Des. Test Comput. 25(4): 334-343 (2008) - [j26]Yatin Vasant Hoskote, Radu Marculescu, Li-Shiuan Peh:
Guest Editors' Introduction: Tackling Key Problems in NoCs. IEEE Des. Test Comput. 25(5): 400-401 (2008) - [j25]Chen-Ling Chou, Ümit Y. Ogras, Radu Marculescu:
Energy- and Performance-Aware Incremental Mapping for Networks on Chip With Multiple Voltage Levels. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27(10): 1866-1879 (2008) - [j24]Ümit Y. Ogras, Radu Marculescu:
Analysis and optimization of prediction-based flow control in networks-on-chip. ACM Trans. Design Autom. Electr. Syst. 13(1): 11:1-11:28 (2008) - [j23]Nicholas H. Zamora, Xiaoping Hu, Ümit Y. Ogras, Radu Marculescu:
Enabling multimedia using resource-constrained video processing techniques: A node-centric perspective. ACM Trans. Design Autom. Electr. Syst. 13(1): 18:1-18:27 (2008) - [c72]Jung-Chun Kao, Radu Marculescu:
Predictive Energy-Efficient Multicast for Large-Scale Mobile Ad Hoc Networks. CCNC 2008: 709-713 - [c71]Ümit Y. Ogras, Radu Marculescu, Diana Marculescu:
Variation-adaptive feedback control for networks-on-chip with multiple clock domains. DAC 2008: 614-619 - [c70]Chen-Ling Chou, Radu Marculescu:
User-Aware Dynamic Task Allocation in Networks-on-Chip. DATE 2008: 1232-1237 - [c69]Chen-Ling Chou, Radu Marculescu:
Contention-aware application mapping for Network-on-Chip communication architectures. ICCD 2008: 164-169 - [c68]Hung-Chih Lai, Radu Marculescu, Marios Savvides, Tsuhan Chen:
Communication-Aware Face Detection Using Noc Architecture. ICVS 2008: 181-189 - [c67]Paul Bogdan, Radu Marculescu:
Hitting Time Analysis for Stochastic Communication. NanoNet 2008: 39-43 - 2007
- [j22]Ümit Y. Ogras, Radu Marculescu, Hyung Gyu Lee, Puru Choudhary, Diana Marculescu, Michael Kaufman, Peter Nelson:
Challenges and Promising Results in NoC Prototyping Using FPGAs. IEEE Micro 27(5): 86-95 (2007) - [j21]Jung-Chun Kao, Radu Marculescu:
Minimizing Eavesdropping Risk by Transmission Power Control in Multihop Wireless Networks. IEEE Trans. Computers 56(8): 1009-1023 (2007) - [j20]Nicholas H. Zamora, Xiaoping Hu, Radu Marculescu:
System-level performance/power analysis for platform-based design of multimedia applications. ACM Trans. Design Autom. Electr. Syst. 12(1): 2:1-2:29 (2007) - [j19]Hyung Gyu Lee, Naehyuck Chang, Ümit Y. Ogras, Radu Marculescu:
On-chip communication architecture exploration: A quantitative evaluation of point-to-point, bus, and network-on-chip approaches. ACM Trans. Design Autom. Electr. Syst. 12(3): 23:1-23:20 (2007) - [j18]Paul Bogdan, Tudor Dumitras, Radu Marculescu:
Stochastic Communication: A New Paradigm for Fault-Tolerant Networks-on-Chip. VLSI Design 2007: 95348:1-95348:17 (2007) - [c66]Radu Marculescu, Borivoje Nikolic, Alberto L. Sangiovanni-Vincentelli:
Fresh air: the emerging landscape of design for networked embedded systems. CODES+ISSS 2007: 124 - [c65]Chen-Ling Chou, Radu Marculescu:
Incremental run-time application mapping for homogeneous NoCs with multiple voltage levels. CODES+ISSS 2007: 161-166 - [c64]Ümit Y. Ogras, Radu Marculescu, Puru Choudhary, Diana Marculescu:
Voltage-Frequency Island Partitioning for GALS-based Networks-on-Chip. DAC 2007: 110-115 - [c63]Paul Bogdan, Radu Marculescu:
Quantum-Like Effects in Network-on-Chip Buffers Behavior. DAC 2007: 266-267 - [c62]Nicholas H. Zamora, Jung-Chun Kao, Radu Marculescu:
Distributed power-management techniques for wireless network video systems. DATE 2007: 564-569 - [c61]Ümit Y. Ogras, Radu Marculescu:
Analytical router modeling for networks-on-chip performance analysis. DATE 2007: 1096-1101 - [c60]Nicholas H. Zamora, Radu Marculescu:
Coordinated Distributed Power Management with Video Sensor Networks: Analysis, Simulation, and Prototyping. ICDSC 2007: 4-11 - [c59]Jung-Chun Kao, Radu Marculescu:
Energy-efficient anonymous multicast in mobile ad-hoc networks. ICPADS 2007: 1-8 - [c58]Ting-Chun Huang, Ümit Y. Ogras, Radu Marculescu:
Virtual Channels Planning for Networks-on-Chip. ISQED 2007: 879-884 - [c57]Cristian Grecu, André Ivanov, Partha Pratim Pande, Axel Jantsch, Erno Salminen, Ümit Y. Ogras, Radu Marculescu:
Towards Open Network-on-Chip Benchmarks. NOCS 2007: 205 - [c56]Jung-Chun Kao, Radu Marculescu:
Real-Time Anonymous Routing for Mobile Ad Hoc Networks. WCNC 2007: 4139-4144 - [i2]Ümit Y. Ogras, Radu Marculescu:
Energy- and Performance-Driven NoC Communication Architecture Synthesis Using a Decomposition Approach. CoRR abs/0710.4707 (2007) - [i1]Jung-Chun Kao, Radu Marculescu:
Energy-Aware Routing for E-Textile Applications. CoRR abs/0710.4728 (2007) - 2006
- [j17]Jung-Chun Kao, Radu Marculescu:
On Optimization of E-Textile Systems Using Redundancy and Energy-Aware Routing. IEEE Trans. Computers 55(6): 745-756 (2006) - [j16]Jingcao Hu, Ümit Y. Ogras, Radu Marculescu:
System-Level Buffer Allocation for Application-Specific Networks-on-Chip Router Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 25(12): 2919-2933 (2006) - [j15]Radu Marculescu, Ümit Y. Ogras, Nicholas H. Zamora:
Computation and communication refinement for multiprocessor SoC design: A system-level perspective. ACM Trans. Design Autom. Electr. Syst. 11(3): 564-592 (2006) - [j14]Ümit Y. Ogras, Radu Marculescu:
"It's a small world after all": NoC performance optimization via long-range link insertion. IEEE Trans. Very Large Scale Integr. Syst. 14(7): 693-706 (2006) - [c55]Hyung Gyu Lee, Ümit Y. Ogras, Radu Marculescu, Naehyuck Chang:
Design space exploration and prototyping for on-chip multimedia applications. DAC 2006: 137-142 - [c54]Ümit Y. Ogras, Radu Marculescu:
Prediction-based flow control for network-on-chip traffic. DAC 2006: 839-844 - [c53]Radu Marculescu, Jan M. Rabaey, Alberto L. Sangiovanni-Vincentelli:
Is "Network" the next "Big Idea" in design? DATE 2006: 254-256 - [c52]Ümit Y. Ogras, Radu Marculescu, Hyung Gyu Lee, Naehyuck Chang:
Communication architecture optimization: making the shortest path shorter in regular networks-on-chip. DATE 2006: 712-717 - [c51]Paul Bogdan, Radu Marculescu:
A Theoretical Framework for On-chip Stochastic Communication Analysis. Nano-Net 2006: 1-5 - [c50]Yanhong Liu, Samarjit Chakraborty, Radu Marculescu:
Generalized Rate Analysis for Media-Processing Platforms. RTCSA 2006: 305-314 - [c49]Jung-Chun Kao, Radu Marculescu:
Eavesdropping Minimization via Transmission Power Control in Ad-Hoc Wireless Networks. SECON 2006: 707-714 - 2005
- [j13]Zhiyuan Ren, Bruce H. Krogh, Radu Marculescu:
Hierarchical Adaptive Dynamic Power Management. IEEE Trans. Computers 54(4): 409-420 (2005) - [j12]Jingcao Hu, Radu Marculescu:
Energy- and performance-aware mapping for regular NoC architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 24(4): 551-562 (2005) - [c48]Ümit Y. Ogras, Jingcao Hu, Radu Marculescu:
Communication-Centric SoC Design for Nanoscale Domain. ASAP 2005: 73-78 - [c47]Ümit Y. Ogras, Jingcao Hu, Radu Marculescu:
Key research problems in NoC design: a holistic perspective. CODES+ISSS 2005: 69-74 - [c46]Jung-Chun Kao, Radu Marculescu:
Energy-Aware Routing for E-Textile Applications. DATE 2005: 184-189 - [c45]Ümit Y. Ogras, Radu Marculescu:
Energy- and Performance-Driven NoC Communication Architecture Synthesis Using a Decomposition Approach. DATE 2005: 352-357 - [c44]Ümit Y. Ogras, Radu Marculescu:
Application-specific network-on-chip architecture customization via long-range link insertion. ICCAD 2005: 246-253 - 2004
- [j11]Radu Marculescu, Petru Eles:
Guest Editors' Introduction: Designing Real-Time Embedded Multimedia Systems. IEEE Des. Test Comput. 21(5): 354-356 (2004) - [j10]Girish Varatkar, Radu Marculescu:
On-chip traffic modeling and synthesis for MPEG-2 video applications. IEEE Trans. Very Large Scale Integr. Syst. 12(1): 108-119 (2004) - [c43]Tudor Dumitras, Sam Kerner, Radu Marculescu:
Enabling on-chip diversity through architectural communication design. ASP-DAC 2004: 799-805 - [c42]Jingcao Hu, Radu Marculescu:
DyAD: smart routing for networks-on-chip. DAC 2004: 260-263 - [c41]Xiaoping Hu, Radu Marculescu:
Adaptive data partitioning for ambient multimedia. DAC 2004: 562-565 - [c40]Zhiyuan Ren, Bruce H. Krogh, Radu Marculescu:
Hierarchical Adaptive Dynamic Power Management. DATE 2004: 136-141 - [c39]Jingcao Hu, Radu Marculescu:
Energy-Aware Communication and Task Scheduling for Network-on-Chip Architectures under Real-Time Constraints. DATE 2004: 234-239 - [c38]Radu Marculescu, Massoud Pedram, Jörg Henkel:
Distributed Multimedia System Design: A Holistic Perspective. DATE 2004: 1342-1349 - [c37]Jingcao Hu, Radu Marculescu:
Application-specific buffer space allocation for networks-on-chip router design. ICCAD 2004: 354-361 - [c36]Radu Marculescu, Diana Marculescu, Larry T. Pileggi:
Toward an Integrated Design Methodology for Fault-Tolerant, Multiple Clock/Voltage Integrated Systems. ICCD 2004: 168-173 - [c35]Xiaoping Hu, Ümit Y. Ogras, Nicholas H. Zamora, Radu Marculescu:
Data partitioning techniques for pervasive multimedia platforms. ICME 2004: 1035-1038 - [c34]Nicholas H. Zamora, Xiaoping Hu, Ümit Y. Ogras, Radu Marculescu:
Resource-aware video processing techniques for ambient multimedia systems. ICME 2004: 1471-1474 - [c33]Jingcao Hu, Youngsoo Shin, Nagu R. Dhanwada, Radu Marculescu:
Architecting voltage islands in core-based system-on-a-chip designs. ISLPED 2004: 180-185 - [e2]Miguel Miranda, Radu Marculescu:
Proceedings of the 2nd Workshop on Embedded Systems for Real-Time Multimedia, ESTIMedia 2004, Stockholm, Sweden, September 6-7, 2004. IEEE Computer Society 2004, ISBN 0-7803-8631-0 [contents] - 2003
- [j9]Diana Marculescu, Radu Marculescu, Nicholas H. Zamora, Phillip Stanley-Marbell, Pradeep K. Khosla, Sungmee Park, Sundaresan Jayaraman, Stefan Jung, L. Weber, K. Cottet, Janusz Grzyb, Gerhard Tröster, Mark Jones, Tom L. Martin, Zahi Nakad:
Electronic textiles: a platform for pervasive computing. Proc. IEEE 91(12): 1993-1994 (2003) - [j8]Diana Marculescu, Radu Marculescu, Nicholas H. Zamora, Phillip Stanley-Marbell, Pradeep K. Khosla, Sungmee Park, Sundaresan Jayaraman, Stefan Jung, Christel Lauterbach, Werner Weber, Tünde Kirstein, Didier Cottet, Janusz Grzyb, Gerhard Tröster, Mark Jones, Tom L. Martin, Zahi Nakad:
Electronic textiles: A platform for pervasive computing. Proc. IEEE 91(12): 1995-2018 (2003) - [j7]Phillip Stanley-Marbell, Diana Marculescu, Radu Marculescu, Pradeep K. Khosla:
Modeling, Analysis, and Self-Management of Electronic Textiles. IEEE Trans. Computers 52(8): 996-1010 (2003) - [c32]Tudor Dumitras, Sam Kerner, Radu Marculescu:
Towards on-chip fault-tolerant communication. ASP-DAC 2003: 225-232 - [c31]Jingcao Hu, Radu Marculescu:
Energy-aware mapping for tile-based NoC architectures under performance constraints. ASP-DAC 2003: 233-239 - [c30]Menno Lindwer, Diana Marculescu, Twan Basten, Rainer Zimmermann, Radu Marculescu, Stefan Jung, Eugenio Cantatore:
Ambient Intelligence Visions and Achievements: Linking Abstract Ideas to Real-World Concepts. DATE 2003: 10010-10017 - [c29]Jingcao Hu, Radu Marculescu:
Exploiting the Routing Flexibility for Energy/Performance Aware Mapping of Regular NoC Architectures. DATE 2003: 10688-10693 - [c28]Tudor Dumitras, Radu Marculescu:
On-Chip Stochastic Communication. DATE 2003: 10790-10795 - [c27]Diana Marculescu, Nicholas H. Zamora, Phillip Stanley-Marbell, Radu Marculescu:
Fault-Tolerant Techniques for Ambient Intelligent Distributed Systems. ICCAD 2003: 348-355 - [c26]Girish Varatkar, Radu Marculescu:
Communication-Aware Task Scheduling and Voltage Selection for Total Systems Energy Minimization. ICCAD 2003: 510-517 - [c25]Radu Marculescu:
Networks-On-Chip: The Quest for On-Chip Fault-Tolerant Communication. ISVLSI 2003: 8-12 - [c24]Radu Marculescu:
Designing Application Specific Networks-On-Chip: Five easy pieces. VLSI-SOC 2003: 5 - [p1]Tudor Dumitras, Radu Marculescu:
On-Chip Stochastic Communication. Embedded Software for SoC 2003: 373-386 - [e1]Gerhard Fohler, Radu Marculescu:
First Workshop on Embedded Systems for Real-Time Multimedia, ESTIMedia 2003, October 3-4, 2003, Newport Beach, California, USA, co-located with CODES-ISSS 2003, Proceedings. 2003 [contents] - 2002
- [j6]Radu Marculescu:
Guest Editorial: Power Modeling, Estimation and Optimization in VLSI Systems. J. Circuits Syst. Comput. 11(6) (2002) - [c23]Diana Marculescu, Radu Marculescu, Pradeep K. Khosla:
Challenges and opportunities in electronic textiles modeling and optimization. DAC 2002: 175-180 - [c22]Girish Varatkar, Radu Marculescu:
Traffic analysis for on-chip networks design of multimedia applications. DAC 2002: 795-800 - [c21]Girish Varatkar, Radu Marculescu:
On-chip communication analysis for multimedia applications. ICME (2) 2002: 185-188 - [c20]Radu Marculescu, Diana Marculescu:
Does Q=MC2? (On the Relationship between Quality in Electronic Design and the Model of Colloidal Computing, invited). ISQED 2002: 451-457 - [c19]Jingcao Hu, Yangdong Deng, Radu Marculescu:
System-Level Point-to-Point Communication Synthesis using Floorplanning Information. ASP-DAC/VLSI Design 2002: 573-579 - 2001
- [c18]Amit Nandi, Radu Marculescu:
System-Level Power/Performance Analysis for Embedded Systems Design. DAC 2001: 599-604 - [c17]Radu Marculescu, Amit Nandi:
Probabilistic application modeling for system-level perfromance analysis. DATE 2001: 572-579 - [c16]Radu Marculescu, Amit Nandi, Luciano Lavagno, Alberto L. Sangiovanni-Vincentelli:
System-Level Power/Performance Analysis of Portable Multimedia Systems Communicating over Wireless Channels. ICCAD 2001: 207- - 2000
- [j5]Diana Marculescu, Radu Marculescu, Massoud Pedram:
Stochastic sequential machine synthesis with application to constrained sequence generation. ACM Trans. Design Autom. Electr. Syst. 5(3): 658-681 (2000) - [j4]Diana Marculescu, Radu Marculescu, Massoud Pedram:
Theoretical bounds for switching activity analysis in finite-state machines. IEEE Trans. Very Large Scale Integr. Syst. 8(3): 335-339 (2000) - [c15]Cristinel Ababei, Radu Marculescu, Venkat Sundarajan:
Probabilistic aspects of crosstalk problems in CMOS ICs. CICC 2000: 117-120 - [c14]Radu Marculescu, Cristinel Ababei:
Improving simulation efficiency for circuit-level power estimation [CMOS]. ISCAS 2000: 471-474
1990 – 1999
- 1999
- [j3]Radu Marculescu, Diana Marculescu, Massoud Pedram:
Sequence compaction for power estimation: theory and practice. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 18(7): 973-993 (1999) - [c13]Radu Marculescu, Diana Marculescu, Massoud Pedram:
Non-stationary effects in trace-driven power analysis. ISLPED 1999: 133-138 - 1998
- [j2]Radu Marculescu, Diana Marculescu, Massoud Pedram:
Probabilistic modeling of dependencies during switching activity analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 17(2): 73-83 (1998) - [c12]Diana Marculescu, Radu Marculescu, Massoud Pedram:
Trace-Driven Steady-State Probability Estimation in FSMs with Application to Power Estimation. DATE 1998: 774-779 - [c11]Diana Marculescu, Radu Marculescu, Massoud Pedram:
Theoretical bounds for switching activity analysis in finite-state machines. ISLPED 1998: 36-41 - 1997
- [c10]Radu Marculescu, Diana Marculescu, Massoud Pedram:
Adaptive models for input data compaction for power simulators. ASP-DAC 1997: 391-396 - [c9]Diana Marculescu, Radu Marculescu, Massoud Pedram:
Sequence Compaction for Probabilistic Analysis of Finite-State Machines. DAC 1997: 12-15 - [c8]Radu Marculescu, Diana Marculescu, Massoud Pedram:
Hierarchical Sequence Compaction for Power Estimation. DAC 1997: 570-575 - [c7]Radu Marculescu, Diana Marculescu, Massoud Pedram:
Composite sequence compaction for finite-state machines using block entropy and high-order Markov models. ISLPED 1997: 190-195 - 1996
- [j1]Diana Marculescu, Radu Marculescu, Massoud Pedram:
Information theoretic measures for power analysis [logic design]. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 15(6): 599-610 (1996) - [c6]Chi-Ying Tsui, Radu Marculescu, Diana Marculescu, Massoud Pedram:
Improving the Efficiency of Power Simulators by Input Vector Compaction. DAC 1996: 165-168 - [c5]Diana Marculescu, Radu Marculescu, Massoud Pedram:
Stochastic Sequential Machine Synthesis Targeting Constrained Sequence Generation. DAC 1996: 696-701 - 1995
- [c4]Radu Marculescu, Diana Marculescu, Massoud Pedram:
Efficient Power Estimation for Highly Correlated Input Streams. DAC 1995: 628-634 - [c3]Diana Marculescu, Radu Marculescu, Massoud Pedram:
Information theoretic measures of energy consumption at register transfer level. ISLPD 1995: 81-86 - 1994
- [c2]Radu Marculescu, Diana Marculescu, Massoud Pedram:
Switching activity analysis considering spatiotemporal correlations. ICCAD 1994: 294-299 - 1993
- [c1]Radu Marculescu:
Worst-case analysis for pseudorandom testing. VTS 1993: 187-193
Coauthor Index
Anish Krishnakumar
aka: A. N. Krishnakumar
aka: A. N. Krishnakumar
[c175] [c166] [i40] [c147] [i26] [c134] [j60] [j58] [j57] [c127] [i8] [j53] [c122] [c118] [i5] [i4] [j51] [j50] [j48] [c117] [c112] [c111] [c110] [c108] [c107] [c105] [c98] [j41] [c78] [j28] [c75] [c71] [j22] [c64] [c36] [j9] [j8] [j7] [c30] [c27] [c23] [c20] [j5] [j4] [j3] [c13] [j2] [c12] [c11] [c10] [c9] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [c2]
Anderson Luiz Sartor
aka: Anderson L. Sartor
aka: Anderson L. Sartor
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