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2020 – today
- 2023
[j72]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)- [j71]Allen-Jasmin Farcas, Radu Marculescu:
Teaching Edge AI at the Undergraduate Level: A Hardware-Software Co-Design Approach. Computer 56(11): 30-38 (2023) - [j70]Zihui Xue, Yuedong Yang, Radu Marculescu:
SUGAR: Efficient Subgraph-Level Training via Resource-Aware Graph Partitioning. IEEE Trans. Computers 72(11): 3167-3177 (2023) - [j69]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) - [j68]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) - [c154]Mustafa Munir, William Avery, Radu Marculescu:
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications. CVPR Workshops 2023: 2211-2219 - [c153]Zihui Xue, Radu Marculescu:
Dynamic Multimodal Fusion. CVPR Workshops 2023: 2575-2584 - [c152]Yuedong Yang, Guihong Li, Radu Marculescu:
Efficient On-Device Training via Gradient Filtering. CVPR 2023: 3811-3820 - [c151]Duc N. M. Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang:
Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph. ICLR 2023 - [c150]Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu:
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients. ICLR 2023 - [c149]Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu:
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. ICML 2023: 19343-19359 - [c148]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 - [c147]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 - [c146]Allen-Jasmin Farcas, Radu Marculescu:
Demo Abstract: A Hardware Prototype Targeting Federated Learning with User Mobility and Device Heterogeneity. IoTDI 2023: 486-487 - [c145]Md Mostafijur Rahman, Radu Marculescu:
Medical Image Segmentation via Cascaded Attention Decoding. WACV 2023: 6211-6220 - [i31]Yuedong Yang, Guihong Li, Radu Marculescu:
Efficient On-device Training via Gradient Filtering. CoRR abs/2301.00330 (2023) - [i30]Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu:
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients. CoRR abs/2301.11300 (2023) - [i29]Md Mostafijur Rahman, Radu Marculescu:
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. CoRR abs/2303.16892 (2023) - [i28]Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu:
TIPS: Topologically Important Path Sampling for Anytime Neural Networks. CoRR abs/2305.08021 (2023) - [i27]Mustafa Munir, William Avery, Radu Marculescu:
MobileViG: Graph-Based Sparse Attention for Mobile Vision Applications. CoRR abs/2307.00395 (2023) - [i26]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) - [i25]Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu:
Efficient Low-rank Backpropagation for Vision Transformer Adaptation. CoRR abs/2309.15275 (2023) - [i24]Md Mostafijur Rahman, Radu Marculescu:
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation. CoRR abs/2310.16175 (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) - [c144]Sofia Hurtado, Radu Marculescu, Justin Drake:
Quarantine in Motion: A Graph Learning Framework to Reduce Disease Transmission Without Lockdown. ASONAM 2022: 454-461 - [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, I. Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, M.-H. Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Y. Fu, A. Alper Goksoy, X. He, Md Sahil Hassan, Andrew Herschfelt, Jacob Holtom, H.-S. Kim, A. N. Krishnakumar, Y. Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, B. McCall, Trevor N. Mudge, Ümit Y. Ogras, V. Pandey, S. Siddiqui, Yu-Hsiu Sun, Adarsh Venkataramani, X. 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 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]