|Optimization principles and application performance evaluation of a multithreaded GPU using CUDA|
S Ryoo, CI Rodrigues, SS Baghsorkhi, SS Stone, DB Kirk, WW Hwu
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of …, 2008
|An adaptive performance modeling tool for GPU architectures|
SS Baghsorkhi, M Delahaye, SJ Patel, WD Gropp, WW Hwu
Proceedings of the 15th ACM SIGPLAN symposium on Principles and practice of …, 2010
|Program optimization space pruning for a multithreaded GPU|
S Ryoo, CI Rodrigues, SS Stone, SS Baghsorkhi, SZ Ueng, JA Stratton, ...
Proceedings of the 6th annual IEEE/ACM international symposium on Code …, 2008
|CUDA-lite: Reducing GPU programming complexity|
SZ Ueng, M Lathara, SS Baghsorkhi, WMW Hwu
Languages and Compilers for Parallel Computing: 21th International Workshop …, 2008
|Program optimization carving for GPU computing|
S Ryoo, CI Rodrigues, SS Stone, JA Stratton, SZ Ueng, SS Baghsorkhi, ...
Journal of Parallel and Distributed Computing 68 (10), 1389-1401, 2008
|Auto-tuning of fast fourier transform on graphics processors|
Y Dotsenko, SS Baghsorkhi, B Lloyd, NK Govindaraju
ACM SIGPLAN Notices 46 (8), 257-266, 2011
|Implicitly parallel programming models for thousand-core microprocessors|
W Hwu, S Ryoo, SZ Ueng, JH Kelm, I Gelado, SS Stone, RE Kidd, ...
Proceedings of the 44th annual Design Automation Conference, 754-759, 2007
|Programmable coarse grained and sparse matrix compute hardware with advanced scheduling|
E Nurvitadhi, B Vembu, NCG Von Borries, R Barik, TH Lin, K Sinha, ...
US Patent 10,186,011, 2019
|Efficient performance evaluation of memory hierarchy for highly multithreaded graphics processors|
SS Baghsorkhi, I Gelado, M Delahaye, WW Hwu
ACM SIGPLAN Notices 47 (8), 23-34, 2012
|Performance analysis and tuning for general purpose graphics processing units (GPGPU)|
H Kim, R Vuduc, S Baghsorkhi, J Choi, WH Wen-mei
Morgan & Claypool Publishers, 2012
|Compute optimizations for neural networks|
K Nealis, A Yao, X Chen, E Ould-Ahmed-Vall, SS Baghsorkhi, ...
US Patent 10,410,098, 2019
|Specialized fixed function hardware for efficient convolution|
R Barik, E Ould-Ahmed-Vall, X Chen, D Srivastava, A Yao, K Nealis, ...
US Patent 10,824,938, 2020
|Program optimization study on a 128-core GPU|
S Ryoo, C Rodrigues, S Stone, S Baghsorkhi, SZ Ueng, WW Hwu
The First Workshop on General Purpose Processing on Graphics Processing …, 2007
|Function as a service (faas) system enhancements|
MR Haghighat, K Doshi, AJ Herdrich, A Mohan, RR Iyer, M Sun, K Bhuyan, ...
US Patent App. 17/255,588, 2021
|Coordination and increased utilization of graphics processors during inference|
AR Appu, A Koker, JC Weast, MB MacPherson, LL Hurd, SS Baghsorkhi, ...
US Patent 10,304,154, 2019
|Methods and apparatus to detect anomalies of a monitored system|
M Agerstam, B Sadeghi, J Martin, J Ota, J Gottschlich, M Carranza, ...
US Patent 10,802,942, 2020
|Save: Sparsity-aware vector engine for accelerating dnn training and inference on cpus|
Z Gong, H Ji, CW Fletcher, CJ Hughes, S Baghsorkhi, J Torrellas
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
|FlexVec: Auto-vectorization for irregular loops|
SS Baghsorkhi, N Vasudevan, Y Wu
Proceedings of the 37th ACM SIGPLAN Conference on Programming Language …, 2016
|Lightweight restricted transactional memory for speculative compiler optimization|
C Wang, Y Wu, SS Baghsorkhi, A Hartono, R Valentine
US Patent 10,324,768, 2019
|Automating efficient variable-grained resiliency for low-power IoT systems|
SS Baghsorkhi, C Margiolas
Proceedings of the 2018 International Symposium on Code Generation and …, 2018