Sara Baghsorkhi
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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
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
Function as a service (FaaS) system enhancements
MR Haghighat, K Doshi, AJ Herdrich, A Mohan, RR Iyer, M Sun, K Bhuyan, ...
US Patent 11,922,220, 2024
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
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
Compute optimizations for neural networks
K Nealis, A Yao, X Chen, E Ould-Ahmed-Vall, SS Baghsorkhi, ...
US Patent 10,410,098, 2019
Performance analysis and tuning for general purpose graphics processing units (GPGPU)
H Kim, R Vuduc, S Baghsorkhi
Morgan & Claypool Publishers, 2012
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
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
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
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
Compute optimizations for low precision machine learning operations
E Ould-Ahmed-Vall, SS Baghsorkhi, A Yao, K Nealis, X Chen, A Koker, ...
US Patent 10,242,423, 2019
Compute optimizations for low precision machine learning operations
E Ould-Ahmed-Vall, SS Baghsorkhi, A Yao, K Nealis, X Chen, A Koker, ...
US Patent 10,726,514, 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
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