|9:15||Michael Wong||Keynote: The Future of GPU/Accelerator Programming Models [slides]|
|10:30||Akihiro Hayashi||LLVM-based Communication Optimizations for PGAS Programs [slides]|
|11:00||Dounia Khaldi||LLVM Parallel Intermediate Representation: Design and Evaluation using OpenSHMEM Communications [slides]|
|11:30||Alexander Droste||MPI-Checker - Static Analysis for MPI [slides]|
|12:00||Joel Denny||FITL: Extending LLVM for the Translation of Fault-Injection Directives [slides]|
|2:00||Xinmin Tian||Moving Forward with OpenMP Implementation in Clang and LLVM [slides]|
|2:30||Carlo Bertolli||Integrating GPU Support for OpenMP Offloading Directives into Clang [slides]|
|3:30||Johannes Doerfert||Assumption Tracking for Optimistic Optimizations [slides]|
|4:00||Kartik Ramkrishnan||SKA - Static Kernel Analysis using LLVM IR [slides]|
|5:00||Siu Kwan Lam||Numba: A LLVM-based Python JIT Compiler|
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 programming-language 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.
This workshop is held in cooperation with:
This workshop will feature contributed papers, invited talks, and panel discussions 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:
Please see the SC15 home page for registration deadlines and other information associated with the parent event.
The proceedings will be archived in both the ACM Digital Library and IEEE Xplore through SIGHPC.
|Erik Schnetter||Perimeter Institute for Theoretical Physics|
|Frank Winter||Thomas Jefferson National Accelerator Facility|
|Gary Funck||Intrepid Technology|
|John Mellor-Crummey||Rice University|
|Keno Fischer||Harvard University|
|Michelle Strout||University of Arizona|
|Sameer Shende||University of Oregon|
|Tobias Grosser||ETH Zürich|
|Torsten Hoefler||ETH Zürich|
Hal Finkel (firstname.lastname@example.org)