| SCNN: An accelerator for compressed-sparse convolutional neural networks A Parashar, M Rhu, A Mukkara, A Puglielli, R Venkatesan, B Khailany, ... ACM SIGARCH computer architecture news 45 (2), 27-40, 2017 | 1441 | 2017 |
| Timeloop: A systematic approach to dnn accelerator evaluation A Parashar, P Raina, YS Shao, YH Chen, VA Ying, A Mukkara, ... 2019 IEEE international symposium on performance analysis of systems and …, 2019 | 435 | 2019 |
| KPart: A hybrid cache partitioning-sharing technique for commodity multicores N El-Sayed, A Mukkara, PA Tsai, H Kasture, X Ma, D Sanchez 2018 IEEE International Symposium on High Performance Computer Architecture …, 2018 | 160 | 2018 |
| Exploiting locality in graph analytics through hardware-accelerated traversal scheduling A Mukkara, N Beckmann, M Abeydeera, X Ma, D Sanchez 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture …, 2018 | 156 | 2018 |
| PHI: Architectural support for synchronization-and bandwidth-efficient commutative scatter updates A Mukkara, N Beckmann, D Sanchez Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 72 | 2019 |
| Whirlpool: Improving dynamic cache management with static data classification A Mukkara, N Beckmann, D Sanchez ACM SIGARCH Computer Architecture News 44 (2), 113-127, 2016 | 64 | 2016 |
| Cache-Guided Scheduling: Exploiting caches to maximize locality in graph processing A Mukkara, N Beckmann, D Sanchez AGP’17, 2017 | 29 | 2017 |
Daniel SanchezMassachusetts Institute of TechnologyVerified email at csail.mit.edu
