Agenda
| Time | Speaker | Title |
|---|---|---|
| 9:00 | Hal Finkel | Welcome |
| 9:15 | Torsten Hoefler | Keynote: MPI Datatype Processing using Runtime Compilation |
| 10:00 | Coffee | Break |
| 10:30 | Joachim Protze | Towards Providing Low-Overhead Data Race Detection for Large OpenMP Applications |
| 11:00 | Carlo Bertolli | Coordinating GPU Threads for OpenMP 4.0 in LLVM |
| 11:30 | Michael Haidl | PACXX: Towards a Unified Programming Model for Programming Accelerators using C++14 |
| 12:00 | N/A | Lunch |
| 1:30 | Chandler Carruth | HPC on the LLVM and C++ Software Stack: It's Not Just About the Compute! [with an extended Q&A period] |
| 2:30 | Eric Anger | Architecture-Independent Modeling of Intra-Node Data Movement |
| 3:00 | Coffee | Break |
| 3:30 | Diego Novillo | SamplePGO - The Power of Profile Guided Optimizations without the Usability Burden |
| 4:00 | Keno Fischer | Julia in the LLVM ecosystem |
| 4:45 | Gordon Brown | Implementing the OpenCL SYCL Shared Source C++ Programming Model using Clang/LLVM |
| 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.
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, 2014Notification to authors of acceptance: October 1, 2014Camera-ready papers due: November 1, 2014- Workshop takes place: November 17, 2014
Please see the SC14 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 llvmhpcsc14. The ACM SIG Proceedings Templates should be used.
Proceedings
The proceedings will be archived in both the ACM Digital Library and IEEE Xplore, by virtue of SIGHPC.
Organizers
- Hal Finkel, Argonne National Laboratory
- Jeff Hammond, Intel Labs
Program Committee
| Name | Affiliation |
|---|---|
| Chandler Carruth | |
| Sameer Shende | University of Oregon |
| Tobias Grosser | INRIA |
| Gary Funck | Intrepid Technology |
| Ralf Karrenberg | Weta Digital |
| Nadav Rotem | Apple |
| Andrew Trick | Apple |
| J Nelson Amaral | University of Alberta |
| Michael Wong | IBM |
| Frank Winter | Thomas Jefferson National Accelerator Facility ("Jefferson Lab") |
| Erik Schnetter | Perimeter Institute for Theoretical Physics |
| David Tweed | ARM |
| Cameron McInally | Cray |
| Keno Fischer | Harvard University |
| Stefan Karpinski | MIT / Julia |
| Michael McCool | Intel |
| Torsten Hoefler | ETH Zürich |
Contact Information
Hal Finkel ([email protected]) and/or Jeff Hammond ([email protected])