Putt Sakdhnagool
Putt Sakdhnagool
Researcher, NECTEC
Verified email at nectec.or.th
Title
Cited by
Cited by
Year
Evaluating performance portability of OpenACC
A Sabne, P Sakdhnagool, S Lee, JS Vetter
International Workshop on Languages and Compilers for Parallel Computing, 51-66, 2014
322014
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
312017
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
242017
Scaling large-data computations on multi-GPU accelerators
A Sabne, P Sakdhnagool, R Eigenmann
Proceedings of the 27th international ACM conference on International …, 2013
242013
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
222015
Understanding portability of a high-level programming model on contemporary heterogeneous architectures
AJ Sabne, P Sakdhnagool, S Lee, JS Vetter
IEEE Micro 35 (4), 2015
112015
Effects of compiler optimizations in openmp to cuda translation
A Sabne, P Sakdhnagool, R Eigenmann
International Workshop on OpenMP, 169-181, 2012
82012
HYDRA: extending shared address programming for accelerator clusters
P Sakdhnagool, A Sabne, R Eigenmann
Languages and Compilers for Parallel Computing, 140-155, 2015
42015
RegDem: Increasing GPU performance via shared memory register spilling
P Sakdhnagool, A Sabne, R Eigenmann
arXiv preprint arXiv:1907.02894, 2019
32019
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
12019
Formalizing structured control flow graphs
A Sabne, P Sakdhnagool, R Eigenmann
International Workshop on Languages and Compilers for Parallel Computing …, 2016
12016
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
2020
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
P Sakdhnagool, A Sabne, R Eigenmann
Concurrency and Computation: Practice and Experience 31 (1), e4756, 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
2016 International Conference on Parallel Architecture and Compilation …, 2016
2016
Implementation of Adaptive Coarsening Algorithm on GPU using CUDA
P Sakdhnagool, T Athiapinya
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Articles 1–18