The Third Workshop on the LLVM Compiler Infrastructure in HPC

Workshop held in conjunction with SC16 - Monday, November 14, 2016 - Salt Lake City, Utah, USA

Abstract

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:

Format

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:

Deadlines

Please see the SC16 home page for registration deadlines and other information associated with the parent event.

Submissions

We are using EasyChair to manage submissions. Please submit papers to llvmhpc3. The ACM SIG Proceedings Templates should be used.

Proceedings

The proceedings will be archived in both the ACM Digital Library and IEEE Xplore through SIGHPC.

Organizers

Program Committee

Name Affiliation
Andrew TrickApple
Cameron McInallyCray
Chandler CarruthGoogle
Erik SchnetterPerimeter Institute for Theoretical Physics
Frank WinterThomas Jefferson National Accelerator Facility
Gary FunckIntrepid Technology
James BrodmanIntel
Jeff HammondIntel
Jim CownieIntel
John Mellor-CrummeyRice University
Keno FischerJulia Computing, Inc.
Michael WongCodeplay
Nadav RotemApple
Pat McCormickLos Alamos National Laboratory
Ralf KarrenbergNVIDIA
Sameer ShendeUniversity of Oregon
Tobias GrosserETH Zürich
Torsten HoeflerETH Zürich

Contact Information

Hal Finkel (hfinkel@anl.gov)