| Rethinking SIMD vectorization for in-memory databases O Polychroniou, A Raghavan, KA Ross Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 289 | 2015 |
| TRANSIT: specifying protocols with concolic snippets A Udupa, A Raghavan, JV Deshmukh, S Mador-Haim, MMK Martin, R Alur ACM SIGPLAN Notices 48 (6), 287-296, 2013 | 268 | 2013 |
| Computational sprinting A Raghavan, Y Luo, A Chandawalla, M Papaefthymiou, KP Pipe, ... IEEE international symposium on high-performance comp architecture, 1-12, 2012 | 249 | 2012 |
| Figure-of-merit for phase-change materials used in thermal management L Shao, A Raghavan, GH Kim, L Emurian, J Rosen, MC Papaefthymiou, ... International Journal of Heat and Mass Transfer 101, 764-771, 2016 | 85 | 2016 |
| Computational sprinting on a hardware/software testbed A Raghavan, L Emurian, L Shao, M Papaefthymiou, KP Pipe, TF Wenisch, ... ACM SIGARCH Computer Architecture News 41 (1), 155-166, 2013 | 72 | 2013 |
| A many-core architecture for in-memory data processing SR Agrawal, S Idicula, A Raghavan, E Vlachos, V Govindaraju, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 62 | 2017 |
| Token tenure: PATCHing token counting using directory-based cache coherence A Raghavan, C Blundell, MMK Martin 2008 41st IEEE/ACM International Symposium on Microarchitecture, 47-58, 2008 | 59 | 2008 |
| RETCON: transactional repair without replay C Blundell, A Raghavan, MMK Martin ACM SIGARCH Computer Architecture News 38 (3), 258-269, 2010 | 52 | 2010 |
| Utilizing dark silicon to save energy with computational sprinting A Raghavan, L Emurian, L Shao, M Papaefthymiou, KP Pipe, TF Wenisch, ... Ieee Micro 33 (5), 20-28, 2013 | 45 | 2013 |
| On-chip phase change heat sinks designed for computational sprinting L Shao, A Raghavan, L Emurian, MC Papaefthymiou, TF Wenisch, ... 2014 Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM …, 2014 | 42 | 2014 |
| Hybrid instrumentation framework for multicore low power processors S Idicula, K Kashyap, A Raghavan, E Vlachos, V Govindaraju US Patent 10,503,626, 2019 | 41 | 2019 |
| Rapid: In-memory analytical query processing engine with extreme performance per watt C Balkesen, N Kunal, G Giannikis, P Fender, S Sundara, F Schmidt, ... Proceedings of the 2018 International Conference on Management of Data, 1407 …, 2018 | 23 | 2018 |
| Designing for responsiveness with computational sprinting A Raghavan, Y Luo, A Chandawalla, M Papaefthymiou, KP Pipe, ... IEEE Micro 33 (3), 8-15, 2013 | 20 | 2013 |
| Efficient parallel algorithm for integral image computation for many-core CPUs V Varadarajan, A Raghavan, S Idicula, N Agarwal US Patent 10,529,049, 2020 | 8 | 2020 |
| Pitfalls of accurately benchmarking thermally adaptive chips L Emurian, A Raghavan, L Shao, JM Rosen, M Papaefthymiou, K Pipe, ... Power (W) 5 (10), 2014 | 8 | 2014 |
| Token tenure and PATCH: a predictive/adaptive Token-counting hybrid A Raghavan, C Blundell, MMK Martin ACM Transactions on Architecture and Code Optimization (TACO) 7 (2), 6, 2010 | 7* | 2010 |
| Matrix multiplication at memory bandwidth A Raghavan, SR Agrawal, S Idicula, N Agarwal US Patent 10,521,225, 2019 | 6 | 2019 |
| Memory coherence in a multi-core, multi-level, heterogeneous computer architecture implementing hardware-managed and software managed caches A Di Blas, A Basant, A Raghavan, N Agarwal US Patent 10,417,128, 2019 | 6 | 2019 |
| Big data processing: Scalability with extreme single-node performance V Govindaraju, S Idicula, S Agrawal, V Vardarajan, A Raghavan, J Wen, ... 2017 IEEE International Congress on Big Data (BigData Congress), 129-136, 2017 | 4 | 2017 |
| Computational sprinting: Exceeding sustainable power in thermally constrained systems A Raghavan University of Pennsylvania, 2013 | 4 | 2013 |
Milo M. K. MartinGoogle (Former Associate Professor, University of Pennsylvania)Dirección de correo verificada de google.com
