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ORCIDMurali Annavaram
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- affiliation: University of Southern California, Los Angeles, USA
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2020 – today
- 2025
[j21]Christopher Harth-Kitzerow, Ajith Suresh, Yongqin Wang, Hossein Yalame, Georg Carle, Murali Annavaram:
High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings. Proc. Priv. Enhancing Technol. 2025(1): 250-272 (2025)- 2024
- [j20]Abdulaziz Tabbakh
, Murali Annavaram:
An efficient sequential consistency implementation with dynamic race detection for GPUs. J. Parallel Distributed Comput. 187: 104836 (2024) - [j19]Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram:
Edge Private Graph Neural Networks with Singular Value Perturbation. Proc. Priv. Enhancing Technol. 2024(3): 391-406 (2024) - [j18]Hajar Falahati, Mohammad Sadrosadati, Qiumin Xu, Juan Gómez-Luna, Banafsheh Saber Latibari, Hyeran Jeon, Shaahin Hessabi, Hamid Sarbazi-Azad, Onur Mutlu, Murali Annavaram, Massoud Pedram:
Cross-core Data Sharing for Energy-efficient GPUs. ACM Trans. Archit. Code Optim. 21(3): 42:1-42:32 (2024) - [c95]James Flemings, Murali Annavaram:
Differentially Private Knowledge Distillation via Synthetic Text Generation. ACL (Findings) 2024: 12957-12968 - [c94]Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram:
Ethos: Rectifying Language Models in Orthogonal Parameter Space. NAACL-HLT (Findings) 2024: 2054-2068 - [c93]James Flemings, Meisam Razaviyayn, Murali Annavaram:
Differentially Private Next-Token Prediction of Large Language Models. NAACL-HLT 2024: 4390-4404 - [c92]Keshav Balasubramanian, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram:
Biased User History Synthesis for Personalized Long-Tail Item Recommendation. RecSys 2024: 189-199 - [e2]Kenji Kise, Valentina Salapura, Murali Annavaram, Ana Lucia Varbanescu:
Proceedings of the 38th ACM International Conference on Supercomputing, ICS 2024, Kyoto, Japan, June 4-7, 2024. ACM 2024 [contents] - [i36]James Flemings, Murali Annavaram:
Differentially Private Knowledge Distillation via Synthetic Text Generation. CoRR abs/2403.00932 (2024) - [i35]Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram:
Ethos: Rectifying Language Models in Orthogonal Parameter Space. CoRR abs/2403.08994 (2024) - [i34]Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram:
Edge Private Graph Neural Networks with Singular Value Perturbation. CoRR abs/2403.10995 (2024) - [i33]James Flemings, Meisam Razaviyayn, Murali Annavaram:
Differentially Private Next-Token Prediction of Large Language Models. CoRR abs/2403.15638 (2024) - [i32]Hossein Entezari Zarch, Abdulla Alshabanah, Chaoyi Jiang, Murali Annavaram:
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data. CoRR abs/2407.08108 (2024) - [i31]Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram:
Enabling Resource-Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines. CoRR abs/2409.15520 (2024) - [i30]James Flemings, Meisam Razaviyayn, Murali Annavaram:
Adaptively Private Next-Token Prediction of Large Language Models. CoRR abs/2410.02016 (2024) - [i29]James Flemings, Wanrong Zhang, Bo Jiang, Zafar Takhirov, Murali Annavaram:
Characterizing Context Influence and Hallucination in Summarization. CoRR abs/2410.03026 (2024) - [i28]Yongqin Wang, Rachit Rajat, Jonghyun Lee, Tingting Tang, Murali Annavaram:
Fastrack: Fast IO for Secure ML using GPU TEEs. CoRR abs/2410.15240 (2024) - [i27]Christopher Harth-Kitzerow, Yongqin Wang, Rachit Rajat, Georg Carle, Murali Annavaram:
PIGEON: A Framework for Private Inference of Neural Networks. IACR Cryptol. ePrint Arch. 2024: 1371 (2024) - 2023
- [j17]Gunjae Koo, Yunho Oh, Hung-Wei Tseng, Won Woo Ro, Murali Annavaram:
FLIXR: Embedding Index Into Flash Translation Layer in SSDs. IEEE Trans. Computers 72(1): 250-263 (2023) - [c91]Rachit Rajat, Yongqin Wang, Murali Annavaram:
LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables. ISCA 2023: 76:1-76:15 - [c90]Haipeng Zha, Swamit Tannu, Murali Annavaram:
SuperBP: Design Space Exploration of Perceptron-Based Branch Predictors for Superconducting CPUs. MICRO 2023: 599-613 - [c89]Amir Minoofar, Hao Song, Ahmed Almaiman, Narek Karapetyan, Wing Ko, Kaiheng Zou, Huibin Zhou, Muralekrishnan Ramakrishnan, Murali Annavaram, Jonathan Habif, Moshe Tur, Alan E. Willner:
Experimental Demonstration of Reconfigurable "Digital Average" of Two 20-Gbaud Phase-Encoded Data Channels Using Nonlinear Optical Wave Mixing. OFC 2023: 1-3 - [i26]Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram:
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. CoRR abs/2311.04406 (2023) - [i25]Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram:
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. IACR Cryptol. ePrint Arch. 2023: 1729 (2023) - 2022
- [c88]Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr:
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. AAAI 2022: 6865-6873 - [c87]Haipeng Zha, Naveen Kumar Katam, Massoud Pedram, Murali Annavaram:
HiPerRF: A Dual-Bit Dense Storage SFQ Register File. HPCA 2022: 415-428 - [c86]Tiantian Feng, Hanieh Hashemi, Murali Annavaram, Shrikanth S. Narayanan:
Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition. ICASSP 2022: 7702-7706 - [c85]Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram:
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. IPDPS 2022: 628-638 - [c84]Yongqin Wang, G. Edward Suh, Wenjie Xiong, Benjamin Lefaudeux, Brian Knott, Murali Annavaram, Hsien-Hsin S. Lee:
Characterization of MPC-based Private Inference for Transformer-based Models. ISPASS 2022: 187-197 - [c83]Rachit Rajat, Yongqin Wang, Murali Annavaram:
PageORAM: An Efficient DRAM Page Aware ORAM Strategy. MICRO 2022: 91-107 - [c82]Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Murali Annavaram, Aram Galstyan, Greg Ver Steeg:
StATIK: Structure and Text for Inductive Knowledge Graph Completion. NAACL-HLT (Findings) 2022: 604-615 - [c81]Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Krishnakumar Nair, Misha Smelyanskiy, Murali Annavaram:
Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models. NSDI 2022: 929-943 - [i24]Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. CoRR abs/2207.00083 (2022) - [i23]Yongqin Wang, Rachit Rajat, Murali Annavaram:
MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference. CoRR abs/2209.13643 (2022) - [i22]Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee:
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems. CoRR abs/2212.06264 (2022) - 2021
- [c80]Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram:
Origami Inference: Private Inference Using Hardware Enclaves. CLOUD 2021: 78-84 - [c79]Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram:
MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage. IPDPS 2021: 245-255 - [c78]Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. MICRO 2021: 212-224 - [c77]Alexander Poylisher, Andrzej Cichocki, Katherine Guo, James Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram:
Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. MILCOM 2021: 102-107 - [c76]Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram:
cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models. RecSys 2021: 263-272 - [c75]Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr:
Jupiter: a networked computing architecture. UCC Companion 2021: 28:1-28:8 - [i21]Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr:
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR abs/2104.07145 (2021) - [i20]Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
Privacy and Integrity Preserving Training Using Trusted Hardware. CoRR abs/2105.00334 (2021) - [i19]Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram:
Byzantine-Robust and Privacy-Preserving Framework for FedML. CoRR abs/2105.02295 (2021) - [i18]Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr:
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. CoRR abs/2106.02743 (2021) - [i17]Rachit Rajat, Yongqin Wang, Murali Annavaram:
Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training. CoRR abs/2107.08094 (2021) - [i16]Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram:
Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. CoRR abs/2107.12958 (2021) - [i15]Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan:
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. CoRR abs/2112.13416 (2021) - 2020
- [c74]Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. ICDCS 2020: 453-463 - [c73]Chaoyang He, Murali Annavaram, Salman Avestimehr:
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. NeurIPS 2020 - [i14]Chaoyang He, Murali Annavaram, Salman Avestimehr:
FedNAS: Federated Deep Learning via Neural Architecture Search. CoRR abs/2004.08546 (2020) - [i13]Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks. CoRR abs/2006.01300 (2020) - [i12]Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr:
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR abs/2007.13518 (2020) - [i11]Chaoyang He, Murali Annavaram, Salman Avestimehr:
Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. CoRR abs/2007.14513 (2020) - [i10]Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Murali Annavaram, Krishnakumar Nair, Misha Smelyanskiy:
Check-N-Run: A Checkpointing System for Training Recommendation Models. CoRR abs/2010.08679 (2020) - [i9]Alexandra Angerd, Keshav Balasubramanian, Murali Annavaram:
Distributed Training of Graph Convolutional Networks using Subgraph Approximation. CoRR abs/2012.04930 (2020)
2010 – 2019
- 2019
- [j16]Kiran Kumar Matam, Mohammad Abdel-Majeed, Murali Annavaram:
Efficient automatic parallelization of a single GPU program for a multiple GPU system. Integr. 66: 35-43 (2019) - [j15]Bingchao Li, Jizeng Wei, Jizhou Sun, Murali Annavaram, Nam Sung Kim:
An Efficient GPU Cache Architecture for Applications with Irregular Memory Access Patterns. ACM Trans. Archit. Code Optim. 16(3): 20:1-20:24 (2019) - [j14]Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Murali Annavaram, Won Woo Ro:
Adaptive Cooperation of Prefetching and Warp Scheduling on GPUs. IEEE Trans. Computers 68(4): 609-616 (2019) - [c72]Qiumin Xu, Hoda Naghibijouybari, Shibo Wang, Nael B. Abu-Ghazaleh, Murali Annavaram:
GPUGuard: mitigating contention based side and covert channel attacks on GPUs. ICS 2019: 497-509 - [c71]Kiran Kumar Matam, Gunjae Koo, Haipeng Zha, Hung-Wei Tseng, Murali Annavaram:
GraphSSD: graph semantics aware SSD. ISCA 2019: 116-128 - [c70]Yunho Oh, Gunjae Koo, Murali Annavaram, Won Woo Ro:
Linebacker: preserving victim cache lines in idle register files of GPUs. ISCA 2019: 183-196 - [c69]Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Slack squeeze coded computing for adaptive straggler mitigation. SC 2019: 14:1-14:16 - [i8]Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Distributed Matrix Multiplication Using Speed Adaptive Coding. CoRR abs/1904.07098 (2019) - [i7]Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. CoRR abs/1904.12222 (2019) - [i6]Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram:
PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs. CoRR abs/1905.04264 (2019) - [i5]Krishna Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. CoRR abs/1906.03999 (2019) - [i4]Zhifeng Lin, Krishna Giri Narra, Mingchao Yu, Salman Avestimehr, Murali Annavaram:
Train Where the Data is: A Case for Bandwidth Efficient Coded Training. CoRR abs/1910.10283 (2019) - [i3]Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram:
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments. CoRR abs/1912.03485 (2019) - [i2]Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Aleksandra Knezevic, Jason A. Tran, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr:
Jupiter: A Networked Computing Architecture. CoRR abs/1912.10643 (2019) - 2018
- [c68]Abdulaziz Tabbakh, Xuehai Qian, Murali Annavaram:
G-TSC: Timestamp Based Coherence for GPUs. HPCA 2018: 403-415 - [c67]Gunjae Koo, Hyeran Jeon, Zhenhong Liu, Nam Sung Kim, Murali Annavaram:
CTA-Aware Prefetching and Scheduling for GPU. IPDPS 2018: 137-148 - [c66]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS 2018: 5129-5139 - [e1]Murali Annavaram, Timothy Mark Pinkston, Babak Falsafi:
45th ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2018, Los Angeles, CA, USA, June 1-6, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5984-7 [contents] - [i1]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR abs/1811.03617 (2018) - 2017
- [j13]Sangpil Lee, Keunsoo Kim, Gunjae Koo, Hyeran Jeon, Murali Annavaram, Won Woo Ro:
Improving Energy Efficiency of GPUs through Data Compression and Compressed Execution. IEEE Trans. Computers 66(5): 834-847 (2017) - [c65]Aleksandra Knezevic, Quynh Nguyen, Jason A. Tran, Pradipta Ghosh, Pranav Sakulkar, Bhaskar Krishnamachari, Murali Annavaram:
CIRCE - a runtime scheduler for DAG-based dispersed computing: demo. SEC 2017: 31:1-31:2 - [c64]Mohammad Abdel-Majeed, Alireza Shafaei, Hyeran Jeon, Massoud Pedram, Murali Annavaram:
Pilot Register File: Energy Efficient Partitioned Register File for GPUs. HPCA 2017: 589-600 - [c63]Zhenhong Liu, Syed Zohaib Gilani, Murali Annavaram, Nam Sung Kim:
G-Scalar: Cost-Effective Generalized Scalar Execution Architecture for Power-Efficient GPUs. HPCA 2017: 601-612 - [c62]Bingchao Li, Jizhou Sun, Murali Annavaram, Nam Sung Kim:
Elastic-Cache: GPU Cache Architecture for Efficient Fine- and Coarse-Grained Cache-Line Management. IPDPS 2017: 82-91 - [c61]Abdulaziz Tabbakh, Murali Annavaram, Xuehai Qian:
Power Efficient Sharing-Aware GPU Data Management. IPDPS 2017: 698-707 - [c60]Gunjae Koo, Yunho Oh, Won Woo Ro, Murali Annavaram:
Access Pattern-Aware Cache Management for Improving Data Utilization in GPU. ISCA 2017: 307-319 - [c59]Qiumin Xu, Manu Awasthi, Krishna T. Malladi, Janki Bhimani, Jingpei Yang, Murali Annavaram:
Docker characterization on high performance SSDs. ISPASS 2017: 133-134 - [c58]Gunjae Koo, Kiran Kumar Matam, Te I, H. V. Krishna Giri Narra, Jing Li, Hung-Wei Tseng, Steven Swanson, Murali Annavaram:
Summarizer: trading communication with computing near storage. MICRO 2017: 219-231 - 2016
- [c57]Keunsoo Kim, Sangpil Lee, Myung Kuk Yoon, Gunjae Koo, Won Woo Ro, Murali Annavaram:
Warped-preexecution: A GPU pre-execution approach for improving latency hiding. HPCA 2016: 163-175 - [c56]Daniel Wong, Nam Sung Kim, Murali Annavaram:
Approximating warps with intra-warp operand value similarity. HPCA 2016: 176-187 - [c55]Mohammad Abdel-Majeed, Daniel Wong, Justin Kuang, Murali Annavaram:
Origami: Folding Warps for Energy Efficient GPUs. ICS 2016: 41:1-41:12 - [c54]Yunho Oh, Keunsoo Kim, Myung Kuk Yoon, Jong Hyun Park, Yongjun Park, Won Woo Ro, Murali Annavaram:
APRES: Improving Cache Efficiency by Exploiting Load Characteristics on GPUs. ISCA 2016: 191-203 - [c53]Qiumin Xu, Hyeran Jeon, Keunsoo Kim, Won Woo Ro, Murali Annavaram:
Warped-Slicer: Efficient Intra-SM Slicing through Dynamic Resource Partitioning for GPU Multiprogramming. ISCA 2016: 230-242 - [c52]Myung Kuk Yoon, Keunsoo Kim, Sangpil Lee, Won Woo Ro, Murali Annavaram:
Virtual Thread: Maximizing Thread-Level Parallelism beyond GPU Scheduling Limit. ISCA 2016: 609-621 - 2015
- [j12]Chi Wang, Hua Liu, Kwame-Lante Wright, Bhaskar Krishnamachari, Murali Annavaram:
A privacy mechanism for mobile-based urban traffic monitoring. Pervasive Mob. Comput. 20: 1-12 (2015) - [c51]Mohammad Abdel-Majeed, Waleed Dweik, Hyeran Jeon, Murali Annavaram:
Warped-RE: Low-Cost Error Detection and Correction in GPUs. DSN 2015: 331-342 - [c50]Daniel Wong, Julia Chen, Murali Annavaram:
A Retrospective Look Back on the Road Towards Energy Proportionality. IISWC 2015: 110-111 - [c49]Gunjae Koo, Hyeran Jeon, Murali Annavaram:
Revealing Critical Loads and Hidden Data Locality in GPGPU Applications. IISWC 2015: 120-129 - [c48]Sangpil Lee, Keunsoo Kim, Gunjae Koo, Hyeran Jeon, Won Woo Ro, Murali Annavaram:
Warped-compression: enabling power efficient GPUs through register compression. ISCA 2015: 502-514 - [c47]Hyeran Jeon, Gokul Subramanian Ravi, Nam Sung Kim, Murali Annavaram:
GPU register file virtualization. MICRO 2015: 420-432 - 2014
- [j11]Mehrtash Manoochehri, Murali Annavaram, Michel Dubois:
Extremely Low Cost Error Protection with Correctable Parity Protected Cache. IEEE Trans. Computers 63(10): 2431-2444 (2014) - [c46]Qiumin Xu, Murali Annavaram:
PATS: pattern aware scheduling and power gating for GPGPUs. PACT 2014: 225-236 - [c45]Waleed Dweik, Murali Annavaram, Michel Dubois:
Reliability-Aware Exceptions: Tolerating intermittent faults in microprocessor array structures. DATE 2014: 1-6 - [c44]Waleed Dweik, Mohammad Abdel-Majeed, Murali Annavaram:
Warped-Shield: Tolerating Hard Faults in GPGPUs. DSN 2014: 431-442 - [c43]Daniel Wong, Murali Annavaram:
Implications of high energy proportional servers on cluster-wide energy proportionality. HPCA 2014: 142-153 - [c42]Qiumin Xu, Hyeran Jeon, Murali Annavaram:
Graph processing on GPUs: Where are the bottlenecks? IISWC 2014: 140-149 - [c41]Hyeran Jeon, Gabriel H. Loh, Murali Annavaram:
Efficient RAS support for die-stacked DRAM. ITC 2014: 1-10 - 2013
- [j10]Daniel Wong, Murali Annavaram:
Scaling the Energy Proportionality Wall with KnightShift. IEEE Micro 33(3): 28-37 (2013) - [j9]Kimish Patel, Murali Annavaram, Massoud Pedram:
NFRA: Generalized Network Flow-Based Resource Allocation for Hosting Centers. IEEE Trans. Computers 62(9): 1772-1785 (2013) - [c40]Jinho Suh, Murali Annavaram, Michel Dubois:
PHYS: Profiled-HYbrid Sampling for soft error reliability benchmarking. DSN 2013: 1-12 - [c39]Mohammad Abdel-Majeed, Murali Annavaram:
Warped register file: A power efficient register file for GPGPUs. HPCA 2013: 412-423 - [c38]Mohammad Abdel-Majeed, Daniel Wong, Murali Annavaram:
Warped gates: gating aware scheduling and power gating for GPGPUs. MICRO 2013: 111-122 - 2012
- [j8]Urbashi Mitra, B. Adar Emken, Sangwon Lee, Ming Li, Viktor Rozgic, Gautam Thatte, Harshvardhan Vathsangam, Daphney-Stavroula Zois, Murali Annavaram, Shrikanth S. Narayanan, Marco Levorato, Donna Spruijt-Metz, Gaurav S. Sukhatme:
KNOWME: a case study in wireless body area sensor network design. IEEE Commun. Mag. 50(5): 116-125 (2012) - [j7]Gautam Thatte, Ming Li, Sangwon Lee, B. Adar Emken, Shrikanth S. Narayanan, Urbashi Mitra, Donna Spruijt-Metz, Murali Annavaram:
KNOWME: An Energy-Efficient Multimodal Body Area Network for Physical Activity Monitoring. ACM Trans. Embed. Comput. Syst. 11(S2): 48:1-48:24 (2012) - [j6]Baik Hoh, Toch Iwuchukwu, Quinn Jacobson, Daniel B. Work, Alexandre M. Bayen, Ryan Herring, Juan Carlos Herrera, Marco Gruteser, Murali Annavaram, Jeff Ban:
Enhancing Privacy and Accuracy in Probe Vehicle-Based Traffic Monitoring via Virtual Trip Lines. IEEE Trans. Mob. Comput. 11(5): 849-864 (2012) - [c37]Jinho Suh, Murali Annavaram, Michel Dubois:
MACAU: A Markov model for reliability evaluations of caches under Single-bit and Multi-bit Upsets. HPCA 2012: 3-14 - [c36]Sangwon Lee, Murali Annavaram:
Wireless Body Area Networks: Where does energy go? IISWC 2012: 25-35 - [c35]Melina Demertzi, Bardia Zandian, Ricardo Rojas, Murali Annavaram:
Benchmarking ISA reliability to intermittent errors. IISWC 2012: 86-87 - [c34]Mohammad Abdel-Majeed, Mike Chen, Murali Annavaram:
A case for 3D stacked analog circuits in high-speed sensing systems. ISQED 2012: 412-417 - [c33]Hyeran Jeon, Murali Annavaram:
Warped-DMR: Light-weight Error Detection for GPGPU. MICRO 2012: 37-47 - [c32]Daniel Wong, Murali Annavaram:
KnightShift: Scaling the Energy Proportionality Wall through Server-Level Heterogeneity. MICRO 2012: 119-130 - [c31]Yi Wang, Bhaskar Krishnamachari, Murali Annavaram:
Semi-Markov state estimation and policy optimization for energy efficient mobile sensing. SECON 2012: 533-541 - 2011
- [j5]Gautam Thatte, Ming Li, Sangwon Lee, B. Adar Emken, Murali Annavaram, Shrikanth S. Narayanan, Donna Spruijt-Metz, Urbashi Mitra:
Optimal Time-Resource Allocation for Energy-Efficient Physical Activity Detection. IEEE Trans. Signal Process. 59(4): 1843-1857 (2011) - [c30]Bardia Zandian, Murali Annavaram:
Cross-layer resilience using wearout aware design flow. DSN 2011: 279-290 - [c29]Samuel Kim, Ming Li, Sangwon Lee, Urbashi Mitra, B. Adar Emken, Donna Spruijt-Metz, Murali Annavaram, Shrikanth S. Narayanan:
Modeling high-level descriptions of real-life physical activities using latent topic modeling of multimodal sensor signals. EMBC 2011: 6033-6036 - [c28]Niti Madan, Alper Buyuktosunoglu, Pradip Bose, Murali Annavaram:
A case for guarded power gating for multi-core processors. HPCA 2011: 291-300 - [c27]Melina Demertzi, Murali Annavaram, Mary W. Hall:
Analyzing the effects of compiler optimizations on application reliability. IISWC 2011: 184-193 - [c26]Mehrtash Manoochehri, Murali Annavaram, Michel Dubois:
CPPC: correctable parity protected cache. ISCA 2011: 223-234 - [c25]Jinho Suh, Mehrtash Manoochehri, Murali Annavaram, Michel Dubois:
Soft error benchmarking of L2 caches with PARMA. SIGMETRICS 2011: 85-96 - 2010
- [c24]Bardia Zandian, Waleed Dweik, Suk Hun Kang, Thomas Punihaole, Murali Annavaram:
WearMon: Reliability monitoring using adaptive critical path testing. DSN 2010: 151-160 - [c23]Yi Wang, Bhaskar Krishnamachari, Qing Zhao, Murali Annavaram:
Markov-optimal sensing policy for user state estimation in mobile devices. IPSN 2010: 268-278 - [c22]Sabyasachi Ghosh, Mark Redekopp, Murali Annavaram:
KnightShift: Shifting the I/O Burden in Datacenters to Management Processor for Energy Efficiency. ISCA Workshops 2010: 183-197 - [c21]Niti Madan, Alper Buyuktosunoglu, Pradip Bose, Murali Annavaram:
Guarded Power Gating in a Multi-core Setting. ISCA Workshops 2010: 198-210 - [c20]Jianwei Chen, Lakshmi Kumar Dabbiru, Daniel Wong, Murali Annavaram, Michel Dubois:
Adaptive and Speculative Slack Simulations of CMPs on CMPs. MICRO 2010: 523-534
2000 – 2009
- 2009
- [j4]Jianwei Chen, Murali Annavaram, Michel Dubois:
SlackSim: a platform for parallel simulations of CMPs on CMPs. SIGARCH Comput. Archit. News 37(2): 20-29 (2009) - [j3]Jianwei Chen, Murali Annavaram, Michel Dubois:
SlackSim: a platform for parallel simulations of CMPs on CMPs. SIGMETRICS Perform. Evaluation Rev. 37(2): 77-78 (2009) - [c19]Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, Donna Spruijt-Metz:
Optimal time-resource allocation for activity-detection via multimodal sensing. BODYNETS 2009: 14 - [c18]Gautam Thatte, Viktor Rozgic, Ming Li, Sabyasachi Ghosh, Urbashi Mitra, Shrikanth S. Narayanan, Murali Annavaram, Donna Spruijt-Metz:
Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection. DCOSS 2009: 273-286 - [c17]Jianwei Chen, Murali Annavaram, Michel Dubois:
Exploiting Simulation Slack to Improve Parallel Simulation Speed. ICPP 2009: 371-378 - [c16]Tong-Yu Hsieh, Melvin A. Breuer, Murali Annavaram, Sandeep K. Gupta, Kuen-Jong Lee:
Tolerance of performance degrading faults for effective yield improvement. ITC 2009: 1-10 - [c15]Yi Wang, Bhaskar Krishnamachari, Qing Zhao, Murali Annavaram:
The Tradeoff between Energy Efficiency and User State Estimation Accuracy in Mobile Sensing. MobiCASE 2009: 42-58 - [c14]Yi Wang, Jialiu Lin, Murali Annavaram, Quinn Jacobson, Jason I. Hong, Bhaskar Krishnamachari, Norman M. Sadeh:
A framework of energy efficient mobile sensing for automatic user state recognition. MobiSys 2009: 179-192 - 2008
- [c13]Ed Grochowski, Murali Annavaram, Paul Reed:
Implications of device timing variability on full chip timing. ISPD 2008: 68 - [c12]Baik Hoh, Marco Gruteser, Ryan Herring, Jeff Ban, Daniel B. Work, Juan Carlos Herrera, Alexandre M. Bayen, Murali Annavaram, Quinn Jacobson:
Virtual trip lines for distributed privacy-preserving traffic monitoring. MobiSys 2008: 15-28 - [c11]Hua Liu, Bhaskar Krishnamachari, Murali Annavaram:
Game theoretic approach to location sharing with privacy in a community-based mobile safety application. MSWiM 2008: 229-238 - 2007
- [c10]Murali Annavaram, Ed Grochowski, Paul Reed:
Implications of Device Timing Variability on Full Chip Timing. HPCA 2007: 37-45 - 2006
- [c9]Bryan Black, Murali Annavaram, Ned Brekelbaum, John DeVale, Lei Jiang, Gabriel H. Loh, Don McCaule, Patrick Morrow, Donald W. Nelson, Daniel Pantuso, Paul Reed, Jeff Rupley, Sadasivan Shankar, John Paul Shen, Clair Webb:
Die Stacking (3D) Microarchitecture. MICRO 2006: 469-479 - 2005
- [c8]Murali Annavaram, Ed Grochowski, John Paul Shen:
Mitigating Amdahl's Law through EPI Throttling. ISCA 2005: 298-309 - 2004
- [j2]Partha Kundu, Murali Annavaram, Trung A. Diep, John Paul Shen:
A case for shared instruction cache on chip multiprocessors running OLTP. SIGARCH Comput. Archit. News 32(3): 11-18 (2004) - [c7]Murali Annavaram, Ryan N. Rakvic, Marzia Polito, Jean-Yves Bouguet, Richard A. Hankins, Bob Davies:
The Fuzzy Correlation between Code and Performance Predictability. MICRO 2004: 93-104 - 2003
- [j1]Murali Annavaram, Jignesh M. Patel, Edward S. Davidson:
Call graph prefetching for database applications. ACM Trans. Comput. Syst. 21(4): 412-444 (2003) - [c6]Richard A. Hankins, Trung A. Diep, Murali Annavaram, Brian Hirano, Harald Eri, Hubert Nueckel, John Paul Shen:
Scaling and Charact rizing Database Workloads: Bridging the Gap between Research and Practice. MICRO 2003: 151-164 - 2002
- [c5]Murali Annavaram, Trung A. Diep, John Paul Shen:
Branch Behavior of a Commercial OLTP Workload on Intel IA32 Processors. ICCD 2002: 242-248 - 2001
- [b1]Murali Annavaram:
Prefetch mechanisms that acquire and exploit application specific knowledge. University of Michigan, USA, 2001 - [c4]Murali Annavaram, Jignesh M. Patel, Edward S. Davidson:
Call Graph Prefetching for Database Applications. HPCA 2001: 281-290 - [c3]Murali Annavaram, Jignesh M. Patel, Edward S. Davidson:
Data prefetching by dependence graph precomputation. ISCA 2001: 52-61 - 2000
- [c2]Murali Annavaram, Gary S. Tyson, Edward S. Davidson:
Instruction overhead and data locality effects in superscalar processors. ISPASS 2000: 95-100
1990 – 1999
- 1996
- [c1]Murali Annavaram, Walid A. Najjar:
Comparison of two storage models in data-driven multithreaded architectures. SPDP 1996: 122-129
Coauthor Index
Amir Salman Avestimehr
aka: Salman Avestimehr
aka: Salman Avestimehr
Krishna Narra
aka: Krishna Giri Narra
aka: H. V. Krishna Giri Narra
aka: Hema Venkata Krishna Giri Narra
aka: Krishna Giri Narra
aka: H. V. Krishna Giri Narra
aka: Hema Venkata Krishna Giri Narra
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