Martin Kong
Cited by
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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
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
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
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
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
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
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
Model-driven transformations for multi-and many-core CPUs
M Kong, LN Pouchet
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 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
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
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
Kernel fusion/decomposition for automatic gpu-offloading
A Mishra, M Kong, B Chapman
2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 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
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
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
Intérprete de páginas Web dinámicas para el servidor Apache
M Kong
Pontificia Universidad Católica del Perú, 2004
A performance vocabulary for affine loop transformations
M Kong, LN Pouchet
arXiv preprint arXiv:1811.06043, 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
On the impact of affine loop transformations in qubit allocation
M Kong
ACM Transactions on Quantum Computing 2 (3), 1-40, 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
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