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Sudarshan Srinivasan
Sudarshan Srinivasan
在 intel.com 的电子邮件经过验证
标题
引用次数
年份
A highly-efficient error detection technique for general matrix multiplication using tiled processing on SIMD architecture
CS Mummidi, S Bal, BF Goldstein, S Srinivasan, S Kundu
2022 IEEE 40th International Conference on Computer Design (ICCD), 529-536, 2022
32022
A lightweight error-resiliency mechanism for deep neural networks
BF Goldstein, VC Ferreira, S Srinivasan, D Das, AS Nery, S Kundu, ...
2021 22nd International Symposium on Quality Electronic Design (ISQED), 311-316, 2021
152021
A runtime support mechanism for fast mode switching of a self-morphing core for power efficiency
S Srinivasan, N Kurella, I Koren, R Rodrigues, S Kundu
Proceedings of the 23rd international conference on Parallel architectures …, 2014
32014
A study of BFLOAT16 for deep learning training
K Dhiraj, M Dheevatsa, M Naveen, D Dipankar, B Kunal, A Sasikanth, ...
arXiv preprint arXiv:1905.12322, 2019
72019
A study of BFLOAT16 for deep learning training
D Kalamkar, D Mudigere, N Mellempudi, D Das, K Banerjee, S Avancha, ...
arXiv preprint arXiv:1905.12322, 2019
3232019
A study of BFLOAT16 for deep learning training (2019)
D Kalamkar, D Mudigere, N Mellempudi, D Das, K Banerjee, S Avancha, ...
arXiv preprint arXiv:1905.12322, 1905
141905
A Study of BFLOAT16 for Deep Learning Training. arXiv e-prints, art
D Kalamkar, D Mudigere, N Mellempudi, D Das, K Banerjee, S Avancha, ...
arXiv preprint arXiv:1905.12322 3, 2019
22019
A study on polymorphing superscalar processor dynamically to improve power efficiency
S Srinivasan, R Rodrigues, A Annamalai, I Koren, S Kundu
2013 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 46-51, 2013
72013
A wavelet-based spatio-temporal heat dissipation model for reordering of program phases to produce temperature extremes in a chip
S Srinivasan, KP Ganeshpure, S Kundu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2012
72012
Astra-sim: Enabling sw/hw co-design exploration for distributed dl training platforms
S Rashidi, S Sridharan, S Srinivasan, T Krishna
2020 IEEE International Symposium on Performance Analysis of Systems and …, 2020
502020
Astra-sim2. 0: Modeling hierarchical networks and disaggregated systems for large-model training at scale
W Won, T Heo, S Rashidi, S Sridharan, S Srinivasan, T Krishna
2023 IEEE International Symposium on Performance Analysis of Systems and …, 2023
222023
Cross-level protection of circuits against faults and malicious attacks
V Tomashevich, S Srinivasan, F Foerg, I Polian
2012 IEEE 18th International On-Line Testing Symposium (IOLTS), 150-155, 2012
172012
Dynamic Processor Reconfiguration for Power, Performance and Reliability Management
S Srinivasan
2016
Dynamic reconfiguration vs. dvfs: A comparative study on power efficiency of processors
S Srinivasan, N Kurella, I Koren, S Kundu
2016 29th International Conference on VLSI Design and 2016 15th …, 2016
62016
Efficient communication acceleration for next-gen scale-up deep learning training platforms
S Rashidi, S Sridharan, S Srinivasan, M Denton, T Krishna
arXiv preprint, 2020
12020
Enabling compute-communication overlap in distributed deep learning training platforms
S Rashidi, M Denton, S Sridharan, S Srinivasan, A Suresh, J Nie, ...
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021
372021
Enabling compute-communication overlap in distributed training platforms
S Rashidi, S Sridharan, S Srinivasan, M Denton, A Suresh, J Nie, ...
Procedings of 48th International Symposium on Computer Architecture (ISCA), 2021
2021
Exploring heterogeneity within a core for improved power efficiency
S Srinivasan, N Kurella, I Koren, S Kundu
IEEE Transactions on Parallel and Distributed Systems 27 (4), 1057-1069, 2015
182015
Exploring multi-dimensional hierarchical network topologies for efficient distributed training of trillion parameter dl models
W Won, S Rashidi, S Srinivasan, T Krishna
arXiv preprint arXiv:2109.11762, 2021
32021
Extending sparse tensor accelerators to support multiple compression formats
E Qin, G Jeong, W Won, SC Kao, H Kwon, S Srinivasan, D Das, GE Moon, ...
2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021
162021
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