Martin Kong

35 papers A* 3A 8B 5C 2Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A conf
Dependence-Driven, Scalable Quantum Circuit Mapping with Affine Abstractions.
CGO
Marouane Benbetka, Merwan Bekkar, Riyadh Baghdadi, Martin Kong
2026 B ed.
Proceedings of the 35th ACM SIGPLAN International Conference on Compiler Construction, CC 2026, Sydney, NSW, Australia, 31 January 2026 - 1 February 2026
CC
Martin Kong, Uday Bondhugula, Tobias Grosser
2025 A conf
Automatic Generation of Mappings for Distributed Fourier Operations.
SC
Doru-Thom Popovici, Botao Wu, John Shalf, Martin Kong
2025 J jnl
Dependence-Driven, Scalable Quantum Circuit Mapping with Affine Abstractions.
CoRR
Marouane Benbetka, Merwan Bekkar, Riyadh Baghdadi, Martin Kong
2025 — conf
Exploring Communication Anomalies in Chapel.
IPDPS (Workshops)
Raneem Abu Yosef, Bokyeong Yoon, Martin Kong
2025 B conf
Generating Two-Level, GPU-Aware Mappings for Distributed Tensor Computations.
PACT
Botao Wu, Martin Kong
2025 B conf
Scalable Data-Flow Modeling and Validation of Distributed-Memory Algorithms.
CC
Raneem Abu Yosef, Martin Kong
2024 A conf
Energy-Aware Tile Size Selection for Affine Programs on GPUs.
CGO
Malith Jayaweera, Martin Kong, Yanzhi Wang, David R. Kaeli
2023 A conf
Automatic Generation of Distributed-Memory Mappings for Tensor Computations.
SC
Martin Kong, Raneem Abu Yosef, Atanas Rountev, P. Sadayappan
2022 J jnl
OCC: An Automated End-to-End Machine Learning Optimizing Compiler for Computing-In-Memory.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Adam Siemieniuk, Lorenzo Chelini, Asif Ali Khan, Jerónimo Castrillón, Andi Drebes, Henk Corporaal, Tobias Grosser, Martin Kong
2022 B conf
QRANE: lifting QASM programs to an affine IR.
CC
Blake Gerard, Tobias Grosser, Martin Kong
2021 C conf
LoopOpt: Declarative Transformations Made Easy.
SCOPES
Lorenzo Chelini, Martin Kong, Tobias Grosser, Henk Corporaal
2021 J jnl
On the Impact of Affine Loop Transformations in Qubit Allocation.
ACM Trans. Quantum Comput.
Martin Kong
2021 J jnl
String Abstractions for Qubit Mapping.
CoRR
Blake Gerard, Martin Kong
2021 A conf
Tile size selection of affine programs for GPGPUs using polyhedral cross-compilation.
ICS
Khaled Abdelaal, Martin Kong
2021 — conf
Understanding Recursive Divide-and-Conquer Dynamic Programs in Fork-Join and Data-Flow Execution Models.
IPDPS Workshops
Poornima Nookala, Zafar Ahmad, Mohammad Mahdi Javanmard, Martin Kong, Rezaul Chowdhury, Robert J. Harrison
2020 B conf
Automatic Generation of Multi-Objective Polyhedral Compiler Transformations.
PACT
Lorenzo Chelini, Tobias Gysi, Tobias Grosser, Martin Kong, Henk Corporaal
2020 A conf
Deriving parametric multi-way recursive divide-and-conquer dynamic programming algorithms using polyhedral compilers.
CGO
Mohammad Mahdi Javanmard, Zafar Ahmad, Martin Kong, Louis-Noël Pouchet, Rezaul Chowdhury, Robert J. Harrison
2020 J jnl
Exploring the Impact of Affine Loop Transformations in Qubit Allocation.
CoRR
Martin Kong
2019 — conf
Abstractions for Polyhedral Topology-Aware Tasking [Position Paper].
LCPC
Martin Kong
2019 A conf
Kernel Fusion/Decomposition for Automatic GPU-Offloading.
CGO
Alok Mishra, Martin Kong, Barbara M. Chapman
2019 A* conf
Model-driven transformations for multi- and many-core CPUs.
PLDI
Martin Kong, Louis-Noël Pouchet
2018 J jnl
A Performance Vocabulary for Affine Loop Transformations.
CoRR
Martin Kong, Louis-Noël Pouchet
2018 — conf
Introduction to PMAW 2018.
IPDPS Workshops
Martin Kong, Zoran Budimlic
2018 — conf
Manage OpenMP GPU Data Environment Under Unified Address Space.
IWOMP
Lingda Li, Hal Finkel, Martin Kong, Barbara M. Chapman
2017 — conf
Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading.
LLVM-HPC@SC
Alok Mishra, Lingda Li, Martin Kong, Hal Finkel, Barbara M. Chapman
2017 — conf
Efficient Cache Simulation for Affine Computations.
LCPC
Wenlei Bao, Prashant Singh Rawat, Martin Kong, Sriram Krishnamoorthy, Louis-Noël Pouchet, P. Sadayappan
2016 — conf
An Extended Polyhedral Model for SPMD Programs and Its Use in Static Data Race Detection.
LCPC
Prasanth Chatarasi, Jun Shirako, Martin Kong, Vivek Sarkar
2016 A conf
PIPES: a language and compiler for task-based programming on distributed-memory clusters.
SC
Martin Kong, Louis-Noël Pouchet, P. Sadayappan, Vivek Sarkar
2015 — conf
A Roofline-Based Performance Estimator for Distributed Matrix-Multiply on Intel CnC.
IPDPS Workshops
Martin Kong, Louis-Noël Pouchet, Ponnuswamy Sadayappan
2015 — conf
SDSLc: a multi-target domain-specific compiler for stencil computations.
WOLFHPC@SC
Prashant Singh Rawat, Martin Kong, Thomas Henretty, Justin Holewinski, Kevin Stock, Louis-Noël Pouchet, J. Ramanujam, Atanas Rountev, P. Sadayappan
2014 A* conf
A framework for enhancing data reuse via associative reordering.
PLDI
Kevin Stock, Martin Kong, Tobias Grosser, Louis-Noël Pouchet, Fabrice Rastello, J. Ramanujam, P. Sadayappan
2014 J jnl
Compiler/Runtime Framework for Dynamic Dataflow Parallelization of Tiled Programs.
ACM Trans. Archit. Code Optim.
Martin Kong, Antoniu Pop, Louis-Noël Pouchet, R. Govindarajan, Albert Cohen, P. Sadayappan
2014 C conf
Use of Radarsat-2 polarimetric SAR images for fuel moisture mapping in the Kruger National Park, South Africa.
IGARSS
Martin Kong, Brigitte Leblon, Renaud Mathieu, Claus-Peter Gross, Joseph Buckley, Laven Naidoo, Laura L. Bourgeau-Chavez
2013 A* conf
When polyhedral transformations meet SIMD code generation.
PLDI
Martin Kong, Richard Veras, Kevin Stock, Franz Franchetti, Louis-Noël Pouchet, P. Sadayappan