| Compiling a High-level Directive-Based Programming Model for GPGPUs X Tian, R Xu, Y Yan, Z Yun, S Chandrasekaran, B Chapman The 26th International Workshop on Languages and Compilers for Parallel …, 2013 | 51 | 2013 |
| Nas parallel benchmarks for gpgpus using a directive-based programming model R Xu, X Tian, S Chandrasekaran, Y Yan, B Chapman International Workshop on Languages and Compilers for Parallel Computing, 67-81, 2014 | 22 | 2014 |
| Compiler transformation of nested loops for general purpose GPUs X Tian, R Xu, Y Yan, S Chandrasekaran, D Eachempati, B Chapman Concurrency and Computation: Practice and Experience 28 (2), 537-556, 2016 | 11 | 2016 |
| Multi-GPU support on single node using directive-based programming model R Xu, X Tian, S Chandrasekaran, B Chapman Scientific Programming 2015, 2015 | 11 | 2015 |
| Implementing the OpenACC data model M Wolfe, S Lee, J Kim, X Tian, R Xu, S Chandrasekaran, B Chapman 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 8 | 2017 |
| Reduction operations in parallel loops for GPGPUs R Xu, X Tian, Y Yan, S Chandrasekaran, B Chapman Proceedings of Programming Models and Applications on Multicores and …, 2014 | 7 | 2014 |
| The OpenACC data model: Preliminary study on its major challenges and implementations M Wolfe, S Lee, J Kim, X Tian, R Xu, B Chapman, S Chandrasekaran Parallel Computing 78, 15-27, 2018 | 6 | 2018 |
| OpenUH: open source OpenACC compiler X Tian, R Xu, B Chapman GTC2014, HPCTools Group Computer Science Department University of Houston, 2014 | 5 | 2014 |
| OpenACC Parallelization and optimization of NAS parallel benchmarks R Xu, X Tian, S Chandrasekaran, Y Yan, B Chapman GPU Technology Conference, 2014 | 5 | 2014 |
| An analytical model-based auto-tuning framework for locality-aware loop scheduling R Xu, S Chandrasekaran, X Tian, B Chapman International Conference on High Performance Computing, 3-20, 2016 | 4 | 2016 |
| Optimizing GPU Register Usage: Extensions to OpenACC and Compiler Optimizations X Tian, D Khaldi, D Eachempati, R Xu, B Chapman 2016 45th International Conference on Parallel Processing (ICPP), 572 - 581, 2016 | 3 | 2016 |
| Assessing one-to-one parallelism levels mapping for openmp offloading to gpus C Shen, X Tian, D Khaldi, B Chapman Proceedings of the 8th International Workshop on Programming Models and …, 2017 | 2 | 2017 |
| Performance and power characteristics of matrix multiplication algorithms on multicore and shared memory machines Y Yan, J Kemp, X Tian, AM Malik, B Chapman 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012 | 2 | 2012 |
| Acceleration of bulk memory operations in a heterogeneous multicore architecture JH Lee, Z Liu, X Tian, DH Woo, W Shi, D Boumber, Y Yan, KA Kwon Proceedings of the 21st international conference on Parallel architectures …, 2012 | 1 | 2012 |
| A Compiler Optimization Framework for Directive-Based GPU Computing X Tian | | 2016 |
Barbara ChapmanProfessor of Applied Mathematics and Statistics and Computer Science, Stony Brook UniversityVerifierad e-postadress på stonybrook.edu
