Martin Kong

According to our database, Martin Kong authored at least 27 papers between 2013 and 2024.

Collaborative distances:

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

2024

Energy-Aware Tile Size Selection for Affine Programs on GPUs.

Malith Jayaweera, Martin Kong, Yanzhi Wang, David R. Kaeli

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

Automatic Generation of Distributed-Memory Mappings for Tensor Computations.

Martin Kong, Raneem Abu Yosef, Atanas Rountev, P. Sadayappan

Proceedings of the International Conference for High Performance Computing, 2023

2022

OCC: An Automated End-to-End Machine Learning Optimizing Compiler for Computing-In-Memory.

Adam Siemieniuk, Lorenzo Chelini, Asif Ali Khan, Jerónimo Castrillón, Andi Drebes, Henk Corporaal, Tobias Grosser, Martin Kong

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

QRANE: lifting QASM programs to an affine IR.

Blake Gerard, Tobias Grosser, Martin Kong

Proceedings of the CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2, 2022

2021

String Abstractions for Qubit Mapping.

Blake Gerard, Martin Kong

CoRR, 2021

LoopOpt: Declarative Transformations Made Easy.

Lorenzo Chelini, Martin Kong, Tobias Grosser, Henk Corporaal

Proceedings of the SCOPES '21: 24th International Workshop on Software and Compilers for Embedded Systems, Eindhoven, The Netherlands, November 1, 2021

Understanding Recursive Divide-and-Conquer Dynamic Programs in Fork-Join and Data-Flow Execution Models.

Poornima Nookala, Zafar Ahmad, Mohammad Mahdi Javanmard, Martin Kong, Rezaul Chowdhury, Robert J. Harrison

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Tile size selection of affine programs for GPGPUs using polyhedral cross-compilation.

Khaled Abdelaal, Martin Kong

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020

Exploring the Impact of Affine Loop Transformations in Qubit Allocation.

Martin Kong

CoRR, 2020

Deriving parametric multi-way recursive divide-and-conquer dynamic programming algorithms using polyhedral compilers.

Mohammad Mahdi Javanmard, Zafar Ahmad, Martin Kong, Louis-Noël Pouchet, Rezaul Chowdhury, Robert J. Harrison

Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020

Automatic Generation of Multi-Objective Polyhedral Compiler Transformations.

Lorenzo Chelini, Tobias Gysi, Tobias Grosser, Martin Kong, Henk Corporaal

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Model-driven transformations for multi- and many-core CPUs.

Martin Kong, Louis-Noël Pouchet

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

Abstractions for Polyhedral Topology-Aware Tasking [Position Paper].

Martin Kong

Proceedings of the Languages and Compilers for Parallel Computing, 2019

Kernel Fusion/Decomposition for Automatic GPU-Offloading.

Alok Mishra, Martin Kong, Barbara M. Chapman

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2019

2018

A Performance Vocabulary for Affine Loop Transformations.

Martin Kong, Louis-Noël Pouchet

CoRR, 2018

Manage OpenMP GPU Data Environment Under Unified Address Space.

Lingda Li, Hal Finkel, Martin Kong, Barbara M. Chapman

Proceedings of the Evolving OpenMP for Evolving Architectures, 2018

Introduction to PMAW 2018.

Martin Kong, Zoran Budimlic

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading.

Alok Mishra, Lingda Li, Martin Kong, Hal Finkel, Barbara M. Chapman

Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC, 2017

Efficient Cache Simulation for Affine Computations.

Wenlei Bao, Prashant Singh Rawat, Martin Kong, Sriram Krishnamoorthy, Louis-Noël Pouchet, P. Sadayappan

Proceedings of the Languages and Compilers for Parallel Computing, 2017

2016

PIPES: a language and compiler for task-based programming on distributed-memory clusters.

Martin Kong, Louis-Noël Pouchet, P. Sadayappan, Vivek Sarkar

Proceedings of the International Conference for High Performance Computing, 2016

An Extended Polyhedral Model for SPMD Programs and Its Use in Static Data Race Detection.

Prasanth Chatarasi, Jun Shirako, Martin Kong, Vivek Sarkar

Proceedings of the Languages and Compilers for Parallel Computing, 2016

2015

SDSLc: a multi-target domain-specific compiler for stencil computations.

Prashant Singh Rawat, Martin Kong, Thomas Henretty, Justin Holewinski, Kevin Stock, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev, P. Sadayappan

Proceedings of the 5th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing, 2015

A Roofline-Based Performance Estimator for Distributed Matrix-Multiply on Intel CnC.

Martin Kong, Louis-Noël Pouchet, Ponnuswamy Sadayappan

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

2014

Compiler/Runtime Framework for Dynamic Dataflow Parallelization of Tiled Programs.

Martin Kong, Antoniu Pop, Louis-Noël Pouchet, R. Govindarajan, Albert Cohen, P. Sadayappan

ACM Trans. Archit. Code Optim., 2014

A framework for enhancing data reuse via associative reordering.

Kevin Stock, Martin Kong, Tobias Grosser, Louis-Noël Pouchet, Fabrice Rastello, J. Ramanujam, P. Sadayappan

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

Use of Radarsat-2 polarimetric SAR images for fuel moisture mapping in the Kruger National Park, South Africa.

Martin Kong, Brigitte Leblon, Renaud Mathieu, Claus-Peter Gross, Joseph Buckley, Laven Naidoo, Laura L. Bourgeau-Chavez

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

When polyhedral transformations meet SIMD code generation.

Martin Kong, Richard Veras, Kevin Stock, Franz Franchetti, Louis-Noël Pouchet, P. Sadayappan

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2013