Putt Sakdhnagool

According to our database, Putt Sakdhnagool authored at least 16 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Quantum Dynamics at Scale: Ultrafast Control of Emergent Functional Materials.

Subodh C. Tiwari, Aravind Krishnamoorthy, Pankaj Rajak, Putt Sakdhnagool, Manaschai Kunaseth, Fuyuki Shimojo, Shogo Fukushima, Aiichiro Nakano, Ye Luo, Rajiv K. Kalia, Ken-ichi Nomura, Priya Vashishta

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, 2020

2019

Pagoda: A GPU Runtime System for Narrow Tasks.

Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers

ACM Trans. Parallel Comput., 2019

RegDem: Increasing GPU Performance via Shared Memory Register Spilling.

Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann

CoRR, 2019

Comparative analysis of coprocessors.

Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann

Concurr. Comput. Pract. Exp., 2019

Optimizing GPU programs by register demotion: poster.

Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

2017

Improving Productivity of Accelerator Computing Through Programming Models and Compiler Optimizations

Putt Sakdhnagool

PhD thesis, 2017

Massively parallel 3D image reconstruction.

Xiao Wang, Amit Sabne, Putt Sakdhnagool, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff

Proceedings of the International Conference for High Performance Computing, 2017

Pagoda: Fine-Grained GPU Resource Virtualization for Narrow Tasks.

Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

2016

Formalizing Structured Control Flow Graphs.

Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann

Proceedings of the Languages and Compilers for Parallel Computing, 2016

POSTER: Pagoda: A Runtime System to Maximize GPU Utilization in Data Parallel Tasks with Limited Parallelism.

Tsung Tai Yeh, Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann, Timothy G. Rogers

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015

Understanding Portability of a High-Level Programming Model on Contemporary Heterogeneous Architectures.

Amit Sabne, Putt Sakdhnagool, Seyong Lee, Jeffrey S. Vetter

IEEE Micro, 2015

HYDRA : Extending Shared Address Programming for Accelerator Clusters.

Putt Sakdhnagool, Amit Sabne, Rudolf Eigenmann

Proceedings of the Languages and Compilers for Parallel Computing, 2015

HeteroDoop: A MapReduce Programming System for Accelerator Clusters.

Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

2014

Evaluating Performance Portability of OpenACC.

Amit Sabne, Putt Sakdhnagool, Seyong Lee, Jeffrey S. Vetter

Proceedings of the Languages and Compilers for Parallel Computing, 2014

2013

Scaling large-data computations on multi-GPU accelerators.

Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann

Proceedings of the International Conference on Supercomputing, 2013

2012

Effects of Compiler Optimizations in OpenMP to CUDA Translation.

Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann

Proceedings of the OpenMP in a Heterogeneous World - 8th International Workshop on OpenMP, 2012