|10:05||Mehdi Amini||Keynote: MLIR: an Agile Infrastructure for Building a Compiler Ecosystem [Slides][Video]|
|11:30||Rahim Mammadli||Static Neural Compiler Optimization via Deep Reinforcement Learning [Slides][Video]|
|12:10||Michael Kruse||Autotuning Search Space for Loop Transformations [Slides][Video]|
|12:50||Dibyendu Das||Deep Learning-based Approximate Graph-Coloring Algorithm for Register Allocation [Slides][Video]|
|2:30||Alok Mishra||Extending the LLVM/Clang Framework for OpenMP Metadirective Support [Slides][Video]|
|3:10||Andrew Lamzed-Short||Towards Automated Kernel Fusion for the Optimisation of Scientific Applications [Slides]|
|3:50||Alexis Engelke||Robust Practical Binary Optimization at Run-time using LLVM [Slides][Video]|
|4:45||Hal Finkel||Really Embedding Domain-Specific Languages into C++ [Video]|
|5:25||All Presenters||Panel Discussion|
LLVM, winner of the 2012 ACM Software System Award, has become an integral part of the software-development ecosystem for optimizing compilers, dynamic-language execution engines, source-code analysis and transformation tools, debuggers and linkers, and a whole host of programming-language and toolchain-related components. Now heavily used in both academia and industry, where it allows for rapid development of production-quality tools, LLVM is increasingly used in work targeted at high-performance computing. Research in, and implementation of, program analysis, compilation, execution, and profiling has clearly benefited from the availability of a high-quality, freely-available infrastructure on which to build. This workshop will focus on recent developments, from both academia and industry, that build on LLVM to advance the state of the art in high-performance computing.
In cooperation with:
Held in conjunction with SC20: The International Conference for High Performance Computing, Networking, Storage, and Analysis
This workshop will feature contributed papers and invited talks focusing on recent developments, from both academia and industry, that build on LLVM to advance the state of the art in high-performance computing.
Topics of interest include, but are not limited to:
The workshop will hold a lightning-talk session. Please contribute to making this session both vibrant and informative! An abstract and one-page summary are required for consideration.
Please submit papers using the SC20 Submissions system by selecting the "SC20 Workshop: LLVM-HPC2020 Full Papers" form. Papers must be in IEEE conference format (templates are available). Papers should be no more than 12 pages (including references and figures) and must be at least eight pages long. Please also note IEEE's Article-Posting Policy.
To submit a lightning talk, please use the "SC20 Workshop: LLVM-HPC2020 Lightning Talks" form.
|Sunita Chandrasekaran||University of Delaware|
|Camille Coti||University of Paris XIII / University of Oregon|
|Christian Delozier||U.S. Naval Academy|
|Tobias Grosser||ETH Zürich|
|Torsten Hoefler||ETH Zürich|
|Alice Koniges||University of Hawaii|
|Cameron McInally||Hewlett Packard Enterprise|
|Pat McCormick||Los Alamos National Laboratory|
|EJ Park||Los Alamos National Laboratory|
|Frank Winter||Thomas Jefferson National Accelerator Facility|
Alexis Perry-Holby (firstname.lastname@example.org)