Joseph L. Greathouse
Joseph L. Greathouse
AMD Fellow; Adaptive, Embedded, and AI Group; AMD
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
Structural agnostic SpMV: Adapting CSR-adaptive for irregular matrices
M Daga, JL Greathouse
2015 IEEE 22nd International conference on high performance computing (HiPC …, 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
A case for unlimited watchpoints
JL Greathouse, H Xin, Y Luo, T Austin
ACM SIGPLAN Notices 47 (4), 159-172, 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
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
Viper: virtual pipelines for enhanced reliability
A Pellegrini, JL Greathouse, V Bertacco
Acm Sigarch Computer Architecture News 40 (3), 344-355, 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
Efficient sparse matrix-vector multiplication on parallel processors
M Daga, JL Greathouse
US Patent 9,697,176, 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
Dynamic buffer overflow detection for GPGPUs
C Erb, M Collins, JL Greathouse
2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017
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