| Gaia: Geo-distributed machine learning approaching {LAN} speeds K Hsieh, A Harlap, N Vijaykumar, D Konomis, GR Ganger, PB Gibbons, ... 14th {USENIX} Symposium on Networked Systems Design and Implementation …, 2017 | 222 | 2017 |
| Transparent offloading and mapping (TOM) enabling programmer-transparent near-data processing in GPU systems K Hsieh, E Ebrahimi, G Kim, N Chatterjee, M O'Connor, N Vijaykumar, ... ACM SIGARCH Computer Architecture News 44 (3), 204-216, 2016 | 173 | 2016 |
| ChargeCache: Reducing DRAM latency by exploiting row access locality H Hassan, G Pekhimenko, N Vijaykumar, V Seshadri, D Lee, O Ergin, ... 2016 IEEE International Symposium on High Performance Computer Architecture …, 2016 | 131 | 2016 |
| Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation K Hsieh, S Khan, N Vijaykumar, KK Chang, A Boroumand, S Ghose, ... 2016 IEEE 34th International Conference on Computer Design (ICCD), 25-32, 2016 | 127 | 2016 |
| A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps N Vijaykumar, G Pekhimenko, A Jog, A Bhowmick, R Ausavarungnirun, ... ACM SIGARCH Computer Architecture News 43 (3S), 41-53, 2015 | 103 | 2015 |
| SoftMC: A flexible and practical open-source infrastructure for enabling experimental DRAM studies H Hassan, N Vijaykumar, S Khan, S Ghose, K Chang, G Pekhimenko, ... 2017 IEEE International Symposium on High Performance Computer Architecture …, 2017 | 93 | 2017 |
| A case for toggle-aware compression for GPU systems G Pekhimenko, E Bolotin, N Vijaykumar, O Mutlu, TC Mowry, SW Keckler 2016 IEEE International Symposium on High Performance Computer Architecture …, 2016 | 69 | 2016 |
| Zorua: A holistic approach to resource virtualization in GPUs N Vijaykumar, K Hsieh, G Pekhimenko, S Khan, A Shrestha, S Ghose, ... 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 58 | 2016 |
| The locality descriptor: A holistic cross-layer abstraction to express data locality in GPUs N Vijaykumar, E Ebrahimi, K Hsieh, PB Gibbons, O Mutlu 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 38 | 2018 |
| A case for richer cross-layer abstractions: Bridging the semantic gap with expressive memory N Vijaykumar, A Jain, D Majumdar, K Hsieh, G Pekhimenko, E Ebrahimi, ... 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 28 | 2018 |
| CROW: A low-cost substrate for improving DRAM performance, energy efficiency, and reliability H Hassan, M Patel, JS Kim, AG Yaglikci, N Vijaykumar, NM Ghiasi, ... Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 20 | 2019 |
| Smash: Co-designing software compression and hardware-accelerated indexing for efficient sparse matrix operations K Kanellopoulos, N Vijaykumar, C Giannoula, R Azizi, S Koppula, ... Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 18 | 2019 |
| A case for core-assisted bottleneck acceleration in gpus: Enabling efficient data compression N Vijaykumar, G Pekhimenko, A Jog, A Bhowmick, R Ausavarungnirun, ... ISCA, 2015 | 12 | 2015 |
| A Framework for Accelerating Bottlenecks in GPU Execution with Assist Warps N Vijaykumar, G Pekhimenko, A Jog, S Ghose, A Bhowmick, ... arXiv preprint arXiv:1602.01348, 2016 | 8 | 2016 |
| SysScale: Exploiting multi-domain dynamic voltage and frequency scaling for energy efficient mobile processors J Haj-Yahya, M Alser, J Kim, AG Yağlıkçı, N Vijaykumar, E Rotem, O Mutlu 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 6 | 2020 |
| EcoRNN: Efficient computing of LSTM RNN training on gpus B Zheng, A Tiwari, N Vijaykumar, G Pekhimenko arXiv preprint arXiv:1805.08899, 2018 | 5 | 2018 |
| Echo: Compiler-based GPU memory footprint reduction for LSTM RNN training B Zheng, N Vijaykumar, G Pekhimenko 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 4 | 2020 |
| EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization [J] B Zheng, A Nair, Q Wu, N Vijaykumar, G Pekhimenko arXiv preprint arXiv: 1805.08899, 2018 | 2 | 2018 |
| Rethinking Divide and Conquer—Towards Holistic Interfaces of the Computing Stack S Dustdar, O Mutlu, N Vijaykumar IEEE Internet Computing 24 (6), 45-57, 2020 | 1 | 2020 |
| Exploiting Row-Level Temporal Locality in DRAM to Reduce the Memory Access Latency H Hassan, G Pekhimenko, N Vijaykumar, V Seshadri, D Lee, O Ergin, ... arXiv preprint arXiv:1805.03969, 2018 | 1 | 2018 |
Onur MutluETH Zürich and Carnegie Mellon UniversityVerified email at inf.ethz.ch
