Murali Annavaram
Murali Annavaram
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Cited by
Cited by
Die stacking (3D) microarchitecture
B Black, M Annavaram, N Brekelbaum, J DeVale, L Jiang, GH Loh, ...
2006 39th Annual IEEE/ACM International Symposium on Microarchitecture …, 2006
A framework of energy efficient mobile sensing for automatic user state recognition
Y Wang, J Lin, M Annavaram, QA Jacobson, J Hong, B Krishnamachari, ...
Proceedings of the 7th international conference on Mobile systems …, 2009
Virtual trip lines for distributed privacy-preserving traffic monitoring
B Hoh, M Gruteser, R Herring, J Ban, D Work, JC Herrera, AM Bayen, ...
Proceedings of the 6th international conference on Mobile systems …, 2008
Fedml: A research library and benchmark for federated machine learning
C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ...
arXiv preprint arXiv:2007.13518, 2020
Group knowledge transfer: Federated learning of large cnns at the edge
C He, M Annavaram, S Avestimehr
Advances in Neural Information Processing Systems 33, 14068-14080, 2020
Mitigating Amdahl's law through EPI throttling
M Annavaram, E Grochowski, J Shen
32nd International Symposium on Computer Architecture (ISCA'05), 298-309, 2005
Data prefetching by dependence graph precomputation
M Annavaram, JM Patel, ES Davidson
ACM SIGARCH Computer Architecture News 29 (2), 52-61, 2001
Method and apparatus for varying energy per instruction according to the amount of available parallelism
E Grochowski, J Shen, H Wang, D Orenstein, GS Sheaffer, R Ronen, ...
US Patent 7,437,581, 2008
Warped register file: A power efficient register file for GPGPUs
M Abdel-Majeed, M Annavaram
2013 IEEE 19th International symposium on high performance computer …, 2013
Multimodal physical activity recognition by fusing temporal and cepstral information
M Li, V Rozgić, G Thatte, S Lee, A Emken, M Annavaram, U Mitra, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 (4 …, 2010
Fedgraphnn: A federated learning system and benchmark for graph neural networks
C He, K Balasubramanian, E Ceyani, C Yang, H Xie, L Sun, L He, L Yang, ...
arXiv preprint arXiv:2104.07145, 2021
Summarizer: trading communication with computing near storage
G Koo, KK Matam, T I, HVKG Narra, J Li, HW Tseng, S Swanson, ...
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
Knightshift: Scaling the energy proportionality wall through server-level heterogeneity
D Wong, M Annavaram
2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, 119-130, 2012
Energy per instruction trends in Intel microprocessors
E Grochowski, M Annavaram
Technology@ Intel Magazine 4 (3), 1-8, 2006
Warped-compression: Enabling power efficient GPUs through register compression
S Lee, K Kim, G Koo, H Jeon, WW Ro, M Annavaram
ACM SIGARCH Computer Architecture News 43 (3S), 502-514, 2015
Warped-slicer: Efficient intra-SM slicing through dynamic resource partitioning for GPU multiprogramming
Q Xu, H Jeon, K Kim, WW Ro, M Annavaram
ACM SIGARCH Computer Architecture News 44 (3), 230-242, 2016
SlackSim: A platform for parallel simulations of CMPs on CMPs
J Chen, M Annavaram, M Dubois
ACM SIGARCH Computer Architecture News 37 (2), 20-29, 2009
Graph processing on GPUs: Where are the bottlenecks?
Q Xu, H Jeon, M Annavaram
2014 IEEE International Symposium on Workload Characterization (IISWC), 140-149, 2014
Enhancing privacy and accuracy in probe vehicle-based traffic monitoring via virtual trip lines
B Hoh, T Iwuchukwu, Q Jacobson, D Work, AM Bayen, R Herring, ...
IEEE Transactions on Mobile Computing 11 (5), 849-864, 2011
GPU register file virtualization
H Jeon, GS Ravi, NS Kim, M Annavaram
Proceedings of the 48th International Symposium on Microarchitecture, 420-432, 2015
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