| Scalable high performance main memory system using phase-change memory technology MK Qureshi, V Srinivasan, JA Rivers Proceedings of the 36th annual international symposium on Computer …, 2009 | 1846 | 2009 |
| Pact: Parameterized clipping activation for quantized neural networks J Choi, Z Wang, S Venkataramani, PIJ Chuang, V Srinivasan, ... arXiv preprint arXiv:1805.06085, 2018 | 1346 | 2018 |
| Enhancing lifetime and security of PCM-based main memory with start-gap wear leveling MK Qureshi, J Karidis, M Franceschini, V Srinivasan, L Lastras, B Abali Proceedings of the 42nd annual IEEE/ACM international symposium on …, 2009 | 985 | 2009 |
| Training deep neural networks with 8-bit floating point numbers N Wang, J Choi, D Brand, CY Chen, K Gopalakrishnan Advances in neural information processing systems 31, 2018 | 745 | 2018 |
| Microarchitectural techniques for power gating of execution units Z Hu, A Buyuktosunoglu, V Srinivasan, V Zyuban, H Jacobson, P Bose Proceedings of the 2004 international symposium on Low power electronics and …, 2004 | 599 | 2004 |
| NDC: Analyzing the impact of 3D-stacked memory+ logic devices on MapReduce workloads SH Pugsley, J Jestes, H Zhang, R Balasubramonian, V Srinivasan, ... 2014 IEEE International Symposium on Performance Analysis of Systems and …, 2014 | 373 | 2014 |
| Hybrid 8-bit floating point (HFP8) training and inference for deep neural networks X Sun, J Choi, CY Chen, N Wang, S Venkataramani, VV Srinivasan, X Cui, ... Advances in neural information processing systems 32, 2019 | 330 | 2019 |
| Ultra-low precision 4-bit training of deep neural networks X Sun, N Wang, CY Chen, J Ni, A Agrawal, X Cui, S Venkataramani, ... Advances in Neural Information Processing Systems 33, 1796-1807, 2020 | 279 | 2020 |
| Co-designing accelerators and SoC interfaces using gem5-Aladdin YS Shao, SL Xi, V Srinivasan, GY Wei, D Brooks 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 242 | 2016 |
| SAFER: Stuck-at-fault error recovery for memories NH Seong, DH Woo, V Srinivasan, JA Rivers, HHS Lee 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture, 115-124, 2010 | 239 | 2010 |
| Accurate and efficient 2-bit quantized neural networks J Choi, S Venkataramani, VV Srinivasan, K Gopalakrishnan, Z Wang, ... Proceedings of Machine Learning and Systems 1, 348-359, 2019 | 238 | 2019 |
| A tagless coherence directory J Zebchuk, V Srinivasan, MK Qureshi, A Moshovos Proceedings of the 42nd Annual IEEE/ACM International Symposium on …, 2009 | 198 | 2009 |
| Optimizing pipelines for power and performance V Srinivasan, D Brooks, M Gschwind, P Bose, V Zyuban, PN Strenski, ... 35th Annual IEEE/ACM International Symposium on Microarchitecture, 2002 …, 2002 | 193 | 2002 |
| A scalable multi-TeraOPS deep learning processor core for AI trainina and inference B Fleischer, S Shukla, M Ziegler, J Silberman, J Oh, V Srinivasan, J Choi, ... 2018 IEEE symposium on VLSI circuits, 35-36, 2018 | 159 | 2018 |
| New methodology for early-stage, microarchitecture-level power-performance analysis of microprocessors D Brooks, P Bose, V Srinivasan, MK Gschwind, PG Emma, MG Rosenfield IBM Journal of Research and Development 47 (5.6), 653-670, 2003 | 157 | 2003 |
| Branch history guided instruction/data prefetching TR Puzak, AM Hartstein, M Charney, DA Prener, PH Oden, V Srinivasan US Patent 6,560,693, 2003 | 142 | 2003 |
| Approximate computing: Challenges and opportunities A Agrawal, J Choi, K Gopalakrishnan, S Gupta, R Nair, J Oh, DA Prener, ... 2016 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2016 | 131 | 2016 |
| RaPiD: AI accelerator for ultra-low precision training and inference S Venkataramani, V Srinivasan, W Wang, S Sen, J Zhang, A Agrawal, ... 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 122 | 2021 |
| Programming with relaxed synchronization L Renganarayana, V Srinivasan, R Nair, D Prener Proceedings of the 2012 ACM workshop on Relaxing synchronization for …, 2012 | 113 | 2012 |
| Method and apparatus for prefetching branch history information PG Emma, KJ Getzlaff, AM Hartstein, T Pflueger, TR Puzak, EM Schwarz, ... US Patent 7,493,480, 2009 | 112 | 2009 |
Swagath VenkataramaniPrincipal Research Staff Member, IBM T.J. Watson Research Center / Purdue Univ.Verified email at ibm.com
