Sara Baghsorkhi
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Citée par
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, WH Wen-mei
International Workshop on Languages and Compilers for Parallel Computing, 1-15, 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
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, W Hwu
Synthesis Lectures on Computer Architecture 7 (2), 1-96, 2012
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
Method and system for management of traffic processor resources supporting UMTS QoS classes
CR Chou, N Khrais, J Kim
US Patent App. 10/410,098, 2004
Programmable coarse grained and sparse matrix compute hardware with advanced scheduling
E Nurvitadhi, B Vembu, NCG Von Borries, R Barik, T Lin, K Sinha, ...
US Patent 10,186,011, 2019
Methods and systems to vectorize scalar computer program loops having loop-carried dependences
J Bharadwaj, N Vasudevan, A Hartono, SS Baghsorkhi
US Patent 9,268,541, 2016
Languages and compilers for parallel computing
BPCW Tseng
Lightweight restricted transactional memory for speculative compiler optimization
C Wang, Y Wu, SS Baghsorkhi, A Hartono, R Valentine
US Patent 10,324,768, 2019
FlexVec: Auto-vectorization for irregular loops
SS Baghsorkhi, N Vasudevan, Y Wu
Proceedings of the 37th ACM SIGPLAN Conference on Programming Language …, 2016
Loop vectorization methods and apparatus
N Vasudevan, J Bharadwaj, CJ Hughes, MB Girkar, MJ Charney, ...
US Patent 9,244,677, 2016
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
Analytical performance prediction for evaluation and tuning of GPGPU applications
SS Baghsorkhi, M Delahaye, WD Gropp, WH Wen-mei
Workshop on EPHAM2009, in Conjunction with CGO, Citeseer, 1-10, 2009
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
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