Vijayalakshmi Srinivasan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
11
Active years
1998–2021
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | ISCA | RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. | Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan |
| 2019 | DAC | BiScaled-DNN: Quantizing Long-tailed Datastructures with Two Scale Factors for Deep Neural Networks. | Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang |
| 2019 | HiPC | Memory and Interconnect Optimizations for Peta-Scale Deep Learning Systems. | Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Philip Heidelberger, Leland Chang, Kailash Gopalakrishnan |
| 2019 | ICASSP | Workload-aware Automatic Parallelization for Multi-GPU DNN Training. | Sungho Shin, Youngmin Jo, Jungwook Choi, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wonyong Sung |
| 2018 | DAC | Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors. | Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Pierce Chuang, Leland Chang |
| 2018 | ISLPED | Across the Stack Opportunities for Deep Learning Acceleration. | Vijayalakshmi Srinivasan, Bruce M. Fleischer, Sunil Shukla, Matthew M. Ziegler, Joel Silberman, Jinwook Oh, Jungwook Choi, Silvia M. Mueller, Ankur Agrawal, Tina Babinsky, Nianzheng Cao, Chia-Yu Chen, Pierce Chuang, Thomas W. Fox, George Gristede, Michael Guillorn, Howard Haynie, Michael J. Klaiber, Dongsoo Lee, Shih-Hsien Lo, Gary W. Maier, Michael Scheuermann, Swagath Venkataramani, Christos Vezyrtzis, Naigang Wang, Fanchieh Yee, Ching Zhou, Pong-Fei Lu, Brian W. Curran, Leland Chang, Kailash Gopalakrishnan |
| 2018 | ISLPED | Taming the beast: Programming Peta-FLOP class Deep Learning Systems. | Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang |
| 2017 | HPCA | Needle: Leveraging Program Analysis to Analyze and Extract Accelerators from Whole Programs. | Snehasish Kumar, Nick Sumner, Vijayalakshmi Srinivasan, Steve Margerm, Arrvindh Shriraman |
| 2016 | ICS | Peruse and Profit: Estimating the Accelerability of Loops. | Snehasish Kumar, Vijayalakshmi Srinivasan, Amirali Sharifian, Nick Sumner, Arrvindh Shriraman |
| 2016 | MICRO | Co-designing accelerators and SoC interfaces using gem5-Aladdin. | Yakun Sophia Shao, Sam Likun Xi, Vijayalakshmi Srinivasan, Gu-Yeon Wei, David M. Brooks |
| 2015 | ICS | DASX: Hardware Accelerator for Software Data Structures. | Snehasish Kumar, Naveen Vedula, Arrvindh Shriraman, Vijayalakshmi Srinivasan |
| 2015 | MICRO | Self-contained, accurate precomputation prefetching. | Islam Atta, Xin Tong, Vijayalakshmi Srinivasan, Ioana Baldini, Andreas Moshovos |
| 2014 | ISPASS | NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads. | Seth H. Pugsley, Jeffrey Jestes, Huihui Zhang, Rajeev Balasubramonian, Vijayalakshmi Srinivasan, Alper Buyuktosunoglu, Al Davis, Feifei Li |
| 2013 | HPCA | RECAP: A region-based cure for the common cold (cache). | Jason Zebchuk, Harold W. Cain, Xin Tong, Vijayalakshmi Srinivasan, Andreas Moshovos |
| 2012 | OOPSLA | Programming with relaxed synchronization. | Lakshminarayanan Renganarayana, Vijayalakshmi Srinivasan, Ravi Nair, Daniel A. Prener |
| 2010 | MICRO | SAFER: Stuck-At-Fault Error Recovery for Memories. | Nak Hee Seong, Dong Hyuk Woo, Vijayalakshmi Srinivasan, Jude A. Rivers, Hsien-Hsin S. Lee |
| 2009 | ISCA | Scalable high performance main memory system using phase-change memory technology. | Moinuddin K. Qureshi, Vijayalakshmi Srinivasan, Jude A. Rivers |
| 2009 | MICRO | Enhancing lifetime and security of PCM-based main memory with start-gap wear leveling. | Moinuddin K. Qureshi, John P. Karidis, Michele Franceschini, Vijayalakshmi Srinivasan, Luis A. Lastras, Blent Abali |
| 2009 | MICRO | A tagless coherence directory. | Jason Zebchuk, Vijayalakshmi Srinivasan, Moinuddin K. Qureshi, Andreas Moshovos |
| 1998 | ICCD | Evaluating the performance of active cache management schemes. | Edward S. Tam, Jude A. Rivers, Vijayalakshmi Srinivasan, Gary S. Tyson, Edward S. Davidson |