| TOP-PIM: Throughput-oriented programmable processing in memory D Zhang, N Jayasena, A Lyashevsky, JL Greathouse, L Xu, M Ignatowski Proceedings of the 23rd international symposium on High-performance parallel …, 2014 | 434 | 2014 |
| GPGPU performance and power estimation using machine learning G Wu, JL Greathouse, A Lyashevsky, N Jayasena, D Chiou 2015 IEEE 21st international symposium on high performance computer …, 2015 | 256 | 2015 |
| Efficient sparse matrix-vector multiplication on GPUs using the CSR storage format JL Greathouse, M Daga SC'14: Proceedings of the International Conference for High Performance …, 2014 | 255 | 2014 |
| PPEP: Online performance, power, and energy prediction framework and DVFS space exploration B Su, J Gu, L Shen, W Huang, JL Greathouse, Z Wang 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 445-457, 2014 | 113 | 2014 |
| Design and Analysis of an APU for Exascale Computing T Vijayaraghavan, Y Eckert, GH Loh, MJ Schulte, M Ignatowski, ... 2017 IEEE International Symposium on High Performance Computer Architecture …, 2017 | 98 | 2017 |
| Adaptive GPU cache bypassing Y Tian, S Puthoor, JL Greathouse, BM Beckmann, DA Jiménez Proceedings of the 8th Workshop on General Purpose Processing using GPUS, 25-35, 2015 | 90 | 2015 |
| Horton tables: Fast hash tables for {In-Memory}{Data-Intensive} computing AD Breslow, DP Zhang, JL Greathouse, N Jayasena, DM Tullsen 2016 USENIX Annual Technical Conference (USENIX ATC 16), 281-294, 2016 | 74 | 2016 |
| A new perspective on processing-in-memory architecture design DP Zhang, N Jayasena, A Lyashevsky, J Greathouse, M Meswani, ... Proceedings of the ACM SIGPLAN Workshop on Memory Systems Performance and …, 2013 | 51 | 2013 |
| Dynamic gpgpu power management using adaptive model predictive control A Majumdar, L Piga, I Paul, JL Greathouse, W Huang, DH Albonesi 2017 IEEE International Symposium on High Performance Computer Architecture …, 2017 | 50 | 2017 |
| Demand-driven software race detection using hardware performance counters JL Greathouse, Z Ma, MI Frank, R Peri, T Austin Proceedings of the 38th annual international symposium on Computer …, 2011 | 50 | 2011 |
| Structural agnostic SpMV: Adapting CSR-adaptive for irregular matrices M Daga, JL Greathouse 2015 IEEE 22nd International conference on high performance computing (HiPC …, 2015 | 49 | 2015 |
| Implementing a leading loads performance predictor on commodity processors B Su, JL Greathouse, J Gu, M Boyer, L Shen, Z Wang 2014 USENIX Annual Technical Conference (USENIX ATC 14), 2014 | 47 | 2014 |
| A case for unlimited watchpoints JL Greathouse, H Xin, Y Luo, T Austin ACM SIGPLAN Notices 47 (4), 159-172, 2012 | 46 | 2012 |
| Measuring and modeling on-chip interconnect power on real hardware V Adhinarayanan, I Paul, JL Greathouse, W Huang, A Pattnaik, W Feng 2016 IEEE International Symposium on Workload Characterization (IISWC), 1-11, 2016 | 32 | 2016 |
| 3D numerical analysis of two-phase immersion cooling for electronic components X An, M Arora, W Huang, WC Brantley, JL Greathouse 2018 17th IEEE intersociety conference on thermal and thermomechanical …, 2018 | 29 | 2018 |
| Viper: virtual pipelines for enhanced reliability A Pellegrini, JL Greathouse, V Bertacco Acm Sigarch Computer Architecture News 40 (3), 344-355, 2012 | 29 | 2012 |
| Machine learning for performance and power modeling of heterogeneous systems JL Greathouse, GH Loh 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2018 | 28 | 2018 |
| Efficient sparse matrix-vector multiplication on parallel processors M Daga, JL Greathouse US Patent 9,697,176, 2017 | 27 | 2017 |
| Testudo: Heavyweight security analysis via statistical sampling JL Greathouse, I Wagner, DA Ramos, G Bhatnagar, T Austin, V Bertacco, ... 2008 41st IEEE/ACM International Symposium on Microarchitecture, 117-128, 2008 | 27 | 2008 |
| Dynamic buffer overflow detection for GPGPUs C Erb, M Collins, JL Greathouse 2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017 | 24 | 2017 |
Wei HuangSamsung, Zeku, AMD, IBM, U.Va., USTC在 samsung.com 的电子邮件经过验证
