| When polyhedral transformations meet SIMD code generation M Kong, R Veras, K Stock, F Franchetti, LN Pouchet, P Sadayappan Proceedings of the 34th ACM SIGPLAN conference on Programming language …, 2013 | 182 | 2013 |
| A framework for enhancing data reuse via associative reordering K Stock, M Kong, T Grosser, LN Pouchet, F Rastello, J Ramanujam, ... Proceedings of the 35th ACM SIGPLAN Conference on Programming Language …, 2014 | 85 | 2014 |
| Benchmarking and evaluating unified memory for OpenMP GPU offloading A Mishra, L Li, M Kong, H Finkel, B Chapman Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in …, 2017 | 49 | 2017 |
| An extended polyhedral model for SPMD programs and its use in static data race detection P Chatarasi, J Shirako, M Kong, V Sarkar Languages and Compilers for Parallel Computing: 29th International Workshop …, 2017 | 43 | 2017 |
| SDSLc: A multi-target domain-specific compiler for stencil computations P Rawat, M Kong, T Henretty, J Holewinski, K Stock, LN Pouchet, ... Proceedings of the 5th International Workshop on Domain-Specific Languages …, 2015 | 37 | 2015 |
| Compiler/runtime framework for dynamic dataflow parallelization of tiled programs M Kong, A Pop, LN Pouchet, R Govindarajan, A Cohen, P Sadayappan ACM Transactions on Architecture and Code Optimization (TACO) 11 (4), 1-30, 2015 | 33 | 2015 |
| Pipes: a language and compiler for task-based programming on distributed-memory clusters M Kong, LN Pouchet, P Sadayappan, V Sarkar SC'16: Proceedings of the International Conference for High Performance …, 2016 | 19 | 2016 |
| Model-driven transformations for multi-and many-core CPUs M Kong, LN Pouchet Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 18 | 2019 |
| OCC: An automated end-to-end machine learning optimizing compiler for computing-in-memory A Siemieniuk, L Chelini, AA Khan, J Castrillon, A Drebes, H Corporaal, ... IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 17 | 2021 |
| Deriving parametric multi-way recursive divide-and-conquer dynamic programming algorithms using polyhedral compilers MM Javanmard, Z Ahmad, M Kong, LN Pouchet, R Chowdhury, ... Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020 | 15 | 2020 |
| Automatic generation of multi-objective polyhedral compiler transformations L Chelini, T Gysi, T Grosser, M Kong, H Corporaal Proceedings of the ACM International Conference on Parallel Architectures …, 2020 | 14 | 2020 |
| Kernel fusion/decomposition for automatic gpu-offloading A Mishra, M Kong, B Chapman 2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019 | 13 | 2019 |
| Manage openmp gpu data environment under unified address space L Li, H Finkel, M Kong, B Chapman Evolving OpenMP for Evolving Architectures: 14th International Workshop on …, 2018 | 8 | 2018 |
| Tile size selection of affine programs for GPGPUs using polyhedral cross-compilation K Abdelaal, M Kong Proceedings of the ACM International Conference on Supercomputing, 13-26, 2021 | 7 | 2021 |
| Abstract vector SIMD code generation using the polyhedral model M Kong, LN Pouchet, P Sadayappan Technical Report Technical Report 4/13-TR08, Ohio State University, 2013 | 7 | 2013 |
| Intérprete de páginas Web dinámicas para el servidor Apache M Kong Pontificia Universidad Católica del Perú, 2004 | 7 | 2004 |
| A performance vocabulary for affine loop transformations M Kong, LN Pouchet arXiv preprint arXiv:1811.06043, 2018 | 5 | 2018 |
| A roofline-based performance estimator for distributed matrix-multiply on Intel CnC M Kong, LN Pouchet, P Sadayappan 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015 | 5 | 2015 |
| On the impact of affine loop transformations in qubit allocation M Kong ACM Transactions on Quantum Computing 2 (3), 1-40, 2021 | 4 | 2021 |
| Understanding recursive divide-and-conquer dynamic programs in fork-join and data-flow execution models P Nookala, Z Ahmad, MM Javanmard, M Kong, R Chowdhury, R Harrison 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 4 | 2021 |
Louis-Noel PouchetColorado State UniversityVerified email at colostate.edu
