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Putt Sakdhnagool
Putt Sakdhnagool
Researcher, NECTEC
Verified email at nectec.or.th
Title
Cited by
Cited by
Year
Pagoda: Fine-grained gpu resource virtualization for narrow tasks
TT Yeh, A Sabne, P Sakdhnagool, R Eigenmann, TG Rogers
ACM SIGPLAN Notices 52 (8), 221-234, 2017
582017
Evaluating performance portability of OpenACC
A Sabne, P Sakdhnagool, S Lee, JS Vetter
Languages and Compilers for Parallel Computing: 27th International Workshop …, 2015
402015
Massively parallel 3D image reconstruction
X Wang, A Sabne, P Sakdhnagool, SJ Kisner, CA Bouman, SP Midkiff
Proceedings of the International Conference for High Performance Computing …, 2017
362017
Scaling large-data computations on multi-GPU accelerators
A Sabne, P Sakdhnagool, R Eigenmann
Proceedings of the 27th international ACM conference on International …, 2013
292013
Heterodoop: A mapreduce programming system for accelerator clusters
A Sabne, P Sakdhnagool, R Eigenmann
Proceedings of the 24th International Symposium on High-Performance Parallel …, 2015
272015
Understanding portability of a high-level programming model on contemporary heterogeneous architectures
A Sabne, P Sakdhnagool, S Lee, JS Vetter
IEEE Micro 35 (4), 48-58, 2015
152015
Effects of compiler optimizations in openmp to cuda translation
A Sabne, P Sakdhnagool, R Eigenmann
OpenMP in a Heterogeneous World: 8th International Workshop on OpenMP, IWOMP …, 2012
112012
Pagoda: A GPU runtime system for narrow tasks
TT Yeh, A Sabne, P Sakdhnagool, R Eigenmann, TG Rogers
ACM Transactions on Parallel Computing (TOPC) 6 (4), 1-23, 2019
62019
RegDem: Increasing GPU performance via shared memory register spilling
P Sakdhnagool, A Sabne, R Eigenmann
arXiv preprint arXiv:1907.02894, 2019
62019
HYDRA: extending shared address programming for accelerator clusters
P Sakdhnagool, A Sabne, R Eigenmann
Languages and Compilers for Parallel Computing: 28th International Workshop …, 2016
42016
Formalizing structured control flow graphs
A Sabne, P Sakdhnagool, R Eigenmann
Languages and Compilers for Parallel Computing: 29th International Workshop …, 2017
32017
Quantum Dynamics at Scale: Ultrafast Control of Emergent Functional Materials
SC Tiwari, A Krishnamoorthy, P Rajak, P Sakdhnagool, M Kunaseth, ...
Proceedings of the International Conference on High Performance Computing in …, 2020
22020
Comparative analysis of coprocessors
P Sakdhnagool, A Sabne, R Eigenmann
Concurrency and Computation: Practice and Experience 31 (1), e4756, 2019
22019
TARA: A Year in Review
P Sakdhnagool, M Kunaseth, A Piyatumrong, C Rungnim, ...
Thai Journal of Mathematics 19 (3), 739-751, 2021
2021
Optimizing GPU programs by register demotion: poster
P Sakdhnagool, A Sabne, R Eigenmann
Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019
2019
Comparative analysis of coprocessors: Comparative analysis of coprocessors
P Sakdhnagool, A Sabne, R Eigenmann
Concurrency and Computation: Practice and Experience 31 (1), 2018
2018
Improving Productivity of Accelerator Computing Through Programming Models and Compiler Optimizations
P Sakdhnagool
Purdue University, 2017
2017
POSTER: Pagoda: A runtime system to maximize GPU utilization in data parallel tasks with limited parallelism
TT Yeh, A Sabne, P Sakdhnagool, R Eigenmann, TG Rogers
Proceedings of the 2016 International Conference on Parallel Architectures …, 2016
2016
Implementation of Adaptive Coarsening Algorithm on GPU using CUDA
P Sakdhnagool, T Athiapinya
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Articles 1–19