| 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 | 58 | 2017 |
| Evaluating performance portability of OpenACC A Sabne, P Sakdhnagool, S Lee, JS Vetter Languages and Compilers for Parallel Computing: 27th International Workshop …, 2015 | 41 | 2015 |
| 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 | 39 | 2017 |
| Scaling large-data computations on multi-GPU accelerators A Sabne, P Sakdhnagool, R Eigenmann Proceedings of the 27th international ACM conference on International …, 2013 | 29 | 2013 |
| 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 | 28 | 2015 |
| 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 | 15 | 2015 |
| 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 | 11 | 2012 |
| 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 | 7 | 2019 |
| RegDem: Increasing GPU performance via shared memory register spilling P Sakdhnagool, A Sabne, R Eigenmann arXiv preprint arXiv:1907.02894, 2019 | 7 | 2019 |
| HYDRA: extending shared address programming for accelerator clusters P Sakdhnagool, A Sabne, R Eigenmann Languages and Compilers for Parallel Computing: 28th International Workshop …, 2016 | 4 | 2016 |
| Formalizing structured control flow graphs A Sabne, P Sakdhnagool, R Eigenmann Languages and Compilers for Parallel Computing: 29th International Workshop …, 2017 | 3 | 2017 |
| 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 | 2 | 2020 |
| Comparative analysis of coprocessors P Sakdhnagool, A Sabne, R Eigenmann Concurrency and Computation: Practice and Experience 31 (1), e4756, 2019 | 2 | 2019 |
| 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 | | |
Amit SabneGoogle在 google.com 的电子邮件经过验证
