Agenda
| Time | Speaker | Title |
|---|---|---|
| 9:00 | Hal Finkel | Welcome |
| 9:15 | Douglas Miles | Keynote: Integrating LLVM with the PGI Fortran, C and C++ compilers [slides] |
| 10:00 | Coffee | Break |
| 10:30 | Carlo Bertolli | Offloading Support for OpenMP in Clang and LLVM [slides] |
| 11:00 | Dounia Khaldi | Towards Automatic HBM Allocation using LLVM: A Case Study with Knights Landing [slides] |
| 11:30 | Xinmin Tian | LLVM Framework and IR Extensions for Parallelization, SIMD Vectorization and Offloading [slides] |
| 12:00 | Nick Moss | The ARES High-level Intermediate Representation [slides] |
| 12:30 | N/A | Lunch |
| 2:00 | Torsten Hoefler | Polly-ACC: Transparent compilation to heterogeneous hardware [slides] |
| 2:30 | Travis Walton | LLVM at ARM |
| 3:00 | Coffee | Break |
| 3:30 | Dmitry Denisenko | Targeting FPGAs with an LLVM compiler [slides] |
| 4:00 | Hongbin Zheng | Optimizing OpenCL Applications for FPGAs [slides] |
| 4:30 | Steven Watanabe | UPC to C Translator |
| 5:00 | Panel Discussion | |
| 5:30 | The | End |
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:
- Compiler design for highly-concurrent/parallel environments
- Compilation techniques targeted at high-performance computing codes
- Programming-language implementation techniques enabling high performance and high productivity
- Embedding compilation and dynamic execution at scale
- Tools for optimization, profiling and feedback
- Source code transformation and analysis
Deadlines
- Paper submissions due:
September 1, 2016Extended to: September 8, 2016 - Notification to authors of acceptance: September 28, 2016
- Camera-ready papers due: October 11, 2016
- Workshop takes place: November 14, 2016
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
- Hal Finkel, Argonne National Laboratory
Program Committee
| Name | Affiliation |
|---|---|
| Andrew Trick | Apple |
| Cameron McInally | Cray |
| Chandler Carruth | |
| Erik Schnetter | Perimeter Institute for Theoretical Physics |
| Frank Winter | Thomas Jefferson National Accelerator Facility |
| Gary Funck | Intrepid Technology |
| James Brodman | Intel |
| Jeff Hammond | Intel |
| Jim Cownie | Intel |
| John Mellor-Crummey | Rice University |
| Keno Fischer | Julia Computing, Inc. |
| Michael Wong | Codeplay |
| Nadav Rotem | |
| Pat McCormick | Los Alamos National Laboratory |
| Ralf Karrenberg | NVIDIA |
| Sameer Shende | University of Oregon |
| Tobias Grosser | ETH Zürich |
| Torsten Hoefler | ETH Zürich |
Contact Information
Hal Finkel (hfinkel@anl.gov)