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ORCIDLLVM-HPC@SC 2022: Dallas, TX, USA
- Eighth IEEE/ACM Workshop on the LLVM Compiler Infrastructure in HPC, LLVM-HPC@SC 2022, Dallas, TX, USA, November 13-18, 2022. IEEE 2022, ISBN 978-1-6654-7558-7
- Shalini Jain, S. VenkataKeerthy, Rohit Aggarwal, Tharun Kumar Dangeti, Dibyendu Das, Ramakrishna Upadrasta:
Reinforcement Learning assisted Loop Distribution for Locality and Vectorization. 1-12 - Hafsah Shahzad, Ahmed Sanaullah, Sanjay Arora, Robert Munafo, Xiteng Yao, Ulrich Drepper, Martin C. Herbordt:
Reinforcement Learning Strategies for Compiler Optimization in High level Synthesis. 13-22 - Rafael A. Herrera Guaitero, Jose Manuel Monsalve Diaz, Thomas Applencourt, Xiaoming Li, Johannes Doerfert:
Automatic Asynchronous Execution of Synchronously Offloaded OpenMP Target Regions. 23-33 - Damian W. I. Rouson, Dan Bonachea:
Caffeine: CoArray Fortran Framework of Efficient Interfaces to Network Environments. 34-42 - Shilei Tian
, Joseph Huber, Konstantinos Parasyris, Barbara M. Chapman, Johannes Doerfert:
Direct GPU Compilation and Execution for Host Applications with OpenMP Parallelism. 43-51
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