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2020 – today
- 2023
[j58]Ahmet Inci
, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QUIDAM: A Framework for Quantization-aware DNN Accelerator and Model Co-Exploration. ACM Trans. Embed. Comput. Syst. 22(2): 33:1-33:21 (2023)- [c132]Tanvir Mahmud, Diana Marculescu:
AVE-CLIP: AudioCLIP-based Multi-window Temporal Transformer for Audio Visual Event Localization. WACV 2023: 5147-5156 - 2022
- [j57]Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu:
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Nonvolatile Memories for Deep Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3426-3437 (2022) - [c131]Feng Liang, Ting-Wu Chin, Yang Zhou, Diana Marculescu:
ANT: Adapt Network Across Time for Efficient Video Processing. CVPR Workshops 2022: 2602-2607 - [e5]Diana Marculescu, Yuejie Chi, Carole-Jean Wu:
Proceedings of Machine Learning and Systems 2022, MLSys 2022, Santa Clara, CA, USA, August 29 - September 1, 2022. mlsys.org 2022 [contents] - [i41]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QAPPA: Quantization-Aware Power, Performance, and Area Modeling of DNN Accelerators. CoRR abs/2205.08648 (2022) - [i40]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QADAM: Quantization-Aware DNN Accelerator Modeling for Pareto-Optimality. CoRR abs/2205.13045 (2022) - [i39]Feng Liang, Yangguang Li, Diana Marculescu:
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners. CoRR abs/2205.14540 (2022) - [i38]Yang Zhou, Feng Liang, Ting-Wu Chin, Diana Marculescu:
Play It Cool: Dynamic Shifting Prevents Thermal Throttling. CoRR abs/2206.10849 (2022) - [i37]Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu:
Efficient Deep Learning Using Non-Volatile Memory Technology. CoRR abs/2206.13601 (2022) - [i36]Ahmet Inci, Siri Garudanagiri Virupaksha, Aman Jain, Ting-Wu Chin, Venkata Vivek Thallam, Ruizhou Ding, Diana Marculescu:
QUIDAM: A Framework for Quantization-Aware DNN Accelerator and Model Co-Exploration. CoRR abs/2206.15463 (2022) - [i35]Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, Diana Marculescu:
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP. CoRR abs/2210.04150 (2022) - [i34]Tanvir Mahmud, Diana Marculescu:
AVE-CLIP: AudioCLIP-based Multi-window Temporal Transformer for Audio Visual Event Localization. CoRR abs/2210.05060 (2022) - [i33]Natalia Frumkin, Dibakar Gope, Diana Marculescu:
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers. CoRR abs/2211.09643 (2022) - [i32]Hung-Yueh Chiang, Natalia Frumkin, Feng Liang, Diana Marculescu:
MobileTL: On-device Transfer Learning with Inverted Residual Blocks. CoRR abs/2212.03246 (2022) - 2021
- [c130]Ting-Wu Chin, Diana Marculescu, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. CVPR Workshops 2021: 2990-2999 - [c129]Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness. CVPR Workshops 2021: 3243-3252 - [c128]Diana Marculescu:
When Climate Meets Machine Learning: Edge to Cloud ML Energy Efficiency. ISLPED 2021: 1 - [c127]Ting-Wu Chin, Ari S. Morcos, Diana Marculescu:
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks. ECML/PKDD (3) 2021: 119-134 - [c126]Ting-Wu Chin, Dimitrios Stamoulis, Diana Marculescu:
Putting the "Machine" Back in Machine Learning for Engineering Students. Teaching ML 2021: 78-82 - [i31]Ting-Wu Chin, Diana Marculescu, Ari S. Morcos:
Width Transfer: On the (In)variance of Width Optimization. CoRR abs/2104.13255 (2021) - 2020
- [j56]Lixin Fan, Diana Marculescu, Werner Bailer, Yurong Chen:
Editorial: Special Issue on Compact Deep Neural Networks With Industrial Applications. IEEE J. Sel. Top. Signal Process. 14(4): 605-608 (2020) - [j55]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. IEEE J. Sel. Top. Signal Process. 14(4): 609-622 (2020) - [c125]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
Towards Efficient Model Compression via Learned Global Ranking. CVPR 2020: 1515-1525 - [c124]Ahmet Fatih Inci, Mehmet Meric Isgenc, Diana Marculescu:
DeepNVM: A Framework for Modeling and Analysis of Non-Volatile Memory Technologies for Deep Learning Applications. DATE 2020: 1295-1298 - [c123]Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu:
One Weight Bitwidth to Rule Them All. ECCV Workshops (5) 2020: 85-103 - [c122]Radu Marculescu, Diana Marculescu, Ümit Y. Ogras:
Edge AI: Systems Design and ML for IoT Data Analytics. KDD 2020: 3565-3566 - [c121]Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu:
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. WACV 2020: 1169-1178 - [i30]Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation. CoRR abs/2002.02998 (2020) - [i29]R. Iris Bahar, Alex K. Jones, Srinivas Katkoori, Patrick H. Madden, Diana Marculescu, Igor L. Markov:
Workshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond. CoRR abs/2005.01588 (2020) - [i28]Ting-Wu Chin, Ari S. Morcos, Diana Marculescu:
PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks. CoRR abs/2007.11752 (2020) - [i27]Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu:
One Weight Bitwidth to Rule Them All. CoRR abs/2008.09916 (2020) - [i26]Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu:
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. CoRR abs/2012.04210 (2020) - [i25]Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu:
DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning. CoRR abs/2012.04559 (2020)
2010 – 2019
- 2019
- [j54]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) - [j53]Ifigeneia Apostolopoulou, Diana Marculescu:
Tractable Learning and Inference for Large-Scale Probabilistic Boolean Networks. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2720-2734 (2019) - [c120]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CVPR 2019: 11408-11417 - [c119]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, R. D. (Shawn) Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. DAC 2019: 200 - [c118]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection using Adaptive Scaling. MLSys 2019 - [c117]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours. ECML/PKDD (2) 2019: 481-497 - [i24]Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-based Image Classification. CoRR abs/1901.07012 (2019) - [i23]Ting-Wu Chin, Ruizhou Ding, Diana Marculescu:
AdaScale: Towards Real-time Video Object Detection Using Adaptive Scaling. CoRR abs/1902.02910 (2019) - [i22]Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu:
Regularizing Activation Distribution for Training Binarized Deep Networks. CoRR abs/1904.02823 (2019) - [i21]Ruizhou Ding, Zeye Liu, Ting-Wu Chin, Diana Marculescu, Ronald D. Blanton:
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference. CoRR abs/1904.02835 (2019) - [i20]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours. CoRR abs/1904.02877 (2019) - [i19]Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
LeGR: Filter Pruning via Learned Global Ranking. CoRR abs/1904.12368 (2019) - [i18]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Device-Aware Efficient ConvNet Design. CoRR abs/1905.04159 (2019) - [i17]Zhuo Chen, Jiyuan Zhang, Ruizhou Ding, Diana Marculescu:
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection. CoRR abs/1906.07912 (2019) - [i16]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. CoRR abs/1907.00959 (2019) - 2018
- [j52]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) - [j51]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) - [j50]Zhuo Chen, Dimitrios Stamoulis, Diana Marculescu:
Profit: Priority and Power/Performance Optimization for Many-Core Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(10): 2064-2075 (2018) - [j49]Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu:
Lightening the Load with Highly Accurate Storage- and Energy-Efficient LightNNs. ACM Trans. Reconfigurable Technol. Syst. 11(3): 17:1-17:24 (2018) - [c116]Ruizhou Ding, Zeye Liu, R. D. (Shawn) Blanton, Diana Marculescu:
Quantized deep neural networks for energy efficient hardware-based inference. ASP-DAC 2018: 1-8 - [c115]Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu:
HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks. DATE 2018: 19-24 - [c114]Dimitrios Stamoulis, Ting-Wu (Rudy) Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu:
Designing adaptive neural networks for energy-constrained image classification. ICCAD 2018: 23 - [c113]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 - [c112]Diana Marculescu, Dimitrios Stamoulis, Ermao Cai:
Hardware-aware machine learning: modeling and optimization. ICCAD 2018: 137 - [c111]Zhuo Chen, Ruizhou Ding, Ting-Wu Chin, Diana Marculescu:
Understanding the Impact of Label Granularity on CNN-Based Image Classification. ICDM Workshops 2018: 895-904 - [i15]Ifigeneia Apostolopoulou, Diana Marculescu:
Tractable Learning and Inference for Large-Scale Probabilistic Boolean Networks. CoRR abs/1801.07693 (2018) - [i14]Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton:
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. CoRR abs/1802.02178 (2018) - [i13]Dimitrios Stamoulis, Ting-Wu (Rudy) Chin, Anand Krishnan Prakash, Haocheng Fang, Sribhuvan Sajja, Mitchell Bognar, Diana Marculescu:
Designing Adaptive Neural Networks for Energy-Constrained Image Classification. CoRR abs/1808.01550 (2018) - [i12]Diana Marculescu, Dimitrios Stamoulis, Ermao Cai:
Hardware-Aware Machine Learning: Modeling and Optimization. CoRR abs/1809.05476 (2018) - [i11]Ting-Wu Chin, Cha Zhang, Diana Marculescu:
Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks. CoRR abs/1810.00518 (2018) - [i10]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) - 2017
- [j48]Yatish Turakhia, Guangshuo Liu, Siddharth Garg, Diana Marculescu:
Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-Threaded Applications. IEEE Trans. Computers 66(4): 731-744 (2017) - [j47]Ermao Cai, Diana Marculescu:
Temperature Effect Inversion-Aware Power-Performance Optimization for FinFET-Based Multicore Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(11): 1897-1910 (2017) - [j46]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) - [c110]Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu:
\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. ACML 2017: 622-637 - [c109]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 - [c108]Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos:
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. DSAA 2017: 341-350 - [c107]Ruizhou Ding, Diana Marculescu:
Leveraging Classification Models for River Forecasting. SIGSPATIAL/GIS 2017: 83:1-83:4 - [c106]Ruizhou Ding, Zeye Liu, Rongye Shi, Diana Marculescu, R. D. (Shawn) Blanton:
LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. ACM Great Lakes Symposium on VLSI 2017: 35-40 - [c105]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 - [i9]Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu:
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. CoRR abs/1710.05420 (2017) - [i8]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) - [i7]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) - [i6]Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu:
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks. CoRR abs/1712.02446 (2017) - [i5]Zhuo Chen, Diana Marculescu:
Task Scheduling for Heterogeneous Multicore Systems. CoRR abs/1712.03209 (2017) - [i4]Zhuo Chen, Diana Marculescu:
Priority-Aware Near-Optimal Scheduling for Heterogeneous Multi-Core Systems with Specialized Accelerators. CoRR abs/1712.03246 (2017) - 2016
- [j45]Jiajia Jiao, Diana Marculescu, Da-Cheng Juan, Yuzhuo Fu:
A two-level approximate model driven framework for characterizing Multi-Cell Upsets impacts on processors. Microelectron. J. 48: 7-17 (2016) - [j44]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) - [j43]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) - [j42]Ermao Cai, Da-Cheng Juan, Siddharth Garg, Jinpyo Park, Diana Marculescu:
Learning-Based Power/Performance Optimization for Many-Core Systems With Extended-Range Voltage/Frequency Scaling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(8): 1318-1331 (2016) - [j41]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) - [c104]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 - [c103]Ermao Cai, Dimitrios Stamoulis, Diana Marculescu:
Exploring aging deceleration in FinFET-based multi-core systems. ICCAD 2016: 111 - [c102]Dimitrios Stamoulis, Diana Marculescu:
Can We Guarantee Performance Requirements under Workload and Process Variations? ISLPED 2016: 308-313 - [i3]Yatish Turakhia, Guangshuo Liu, Siddharth Garg, Diana Marculescu:
Thread Progress Equalization: Dynamically Adaptive Power and Performance Optimization of Multi-threaded Applications. CoRR abs/1603.06346 (2016) - [i2]Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos:
M3A: Model, MetaModel, and Anomaly Detection in Web Searches. CoRR abs/1606.05978 (2016) - 2015
- [j40]Jiajia Jiao, Da-Cheng Juan, Diana Marculescu, Yuzhuo Fu:
Exploiting component dependency for accurate and efficient soft error analysis via Probabilistic Graphical Models. Microelectron. Reliab. 55(1): 251-263 (2015) - [j39]Guangshuo Liu, Jinpyo Park, Diana Marculescu:
Procrustes1: Power Constrained Performance Improvement Using Extended Maximize-Then-Swap Algorithm. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(10): 1664-1676 (2015) - [c101]Diana Marculescu, Da-Cheng Juan, Guangshuo Liu:
Understanding and Using Heterogeneity for High Performance, Energy Efficient Computing: Special Session Extended Abstract. CSCS 2015: 1000 - [c100]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 - [c99]Zhuo Chen, Diana Marculescu:
Distributed reinforcement learning for power limited many-core system performance optimization. DATE 2015: 1521-1526 - [c98]Diana Marculescu:
The quest for energy aware computing. IGSC 2015: 1 - [c97]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 - [c96]Ermao Cai, Diana Marculescu:
TEI-Turbo: Temperature Effect Inversion-Aware Turbo Boost for FinFET-Based Multi-Core Systems. ICCAD 2015: 500-507 - [c95]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 - [e4]Diana Marculescu, Frank Liu:
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015, Austin, TX, USA, November 2-6, 2015. IEEE 2015, ISBN 978-1-4673-8389-9 [contents] - [e3]André Ivanov, Diana Marculescu, Partha Pratim Pande, José Flich, Karthik Pattabiraman:
Proceedings of the 9th International Symposium on Networks-on-Chip, NOCS 2015, Vancouver, BC, Canada, September 28-30, 2015. ACM 2015, ISBN 978-1-4503-3396-2 [contents] - 2014
- [j38]Da-Cheng Juan, Siddharth Garg, Diana Marculescu:
Statistical Peak Temperature Prediction and Thermal Yield Improvement for 3D Chip Multiprocessors. ACM Trans. Design Autom. Electr. Syst. 19(4): 39:1-39:23 (2014) - [j37]Kai-Chiang Wu, Diana Marculescu:
Power-Planning-Aware Soft Error Hardening via Selective Voltage Assignment. IEEE Trans. Very Large Scale Integr. Syst. 22(1): 136-145 (2014) - [c94]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 - [c93]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 - [c92]Muhammad Shafique, Siddharth Garg, Jörg Henkel, Diana Marculescu:
The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives. DAC 2014: 185:1-185:6 - [c91]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 - [c90]Da-Cheng Juan, Lei Li, Huan-Kai Peng, Diana Marculescu, Christos Faloutsos:
Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter. PAKDD (2) 2014: 198-209 - 2013
- [j36]Siddharth Garg, Diana Marculescu:
Addressing Process Variations at the Microarchitecture and System Level. Found. Trends Electron. Des. Autom. 6(3): 217-291 (2013) - [j35]Diana Marculescu, Chita R. Das:
Editorial to special section on networks on chip: Architecture, tools, and methodologies. ACM Trans. Design Autom. Electr. Syst. 18(4): 45:1-45:2 (2013) - [j34]Kai-Chiang Wu, Diana Marculescu:
A Low-Cost, Systematic Methodology for Soft Error Robustness of Logic Circuits. IEEE Trans. Very Large Scale Integr. Syst. 21(2): 367-379 (2013) - [j33]Siddharth Garg, Diana Marculescu:
Mitigating the Impact of Process Variation on the Performance of 3-D Integrated Circuits. IEEE Trans. Very Large Scale Integr. Syst. 21(10): 1903-1914 (2013) - [c89]Da-Cheng Juan, Siddharth Garg, Jinpyo Park, Diana Marculescu:
Learning the optimal operating point for many-core systems with extended range voltage/frequency scaling. CODES+ISSS 2013: 8:1-8:10 - [c88]