|9:15||Vikram Adve||Keynote: Heterogeneous Parallel Virtual Machine and Parallelism in LLVM|
|10:30||Paul Osmialowski||How The Flang FrontendWorks - Introduction to the interior of the Open-Source Fortran frontend for LLVM|
|11:00||Lingda Li||Benchmarking and Evaluating Unified Memory for OpenMP GPU Offloading|
|11:30||Michael Haidl||PACXXv2 + RV -- An LLVM-based Portable High-Performance Programming Model|
|2:00||Ronny Tschueter||An LLVM Instrumentation Plug-in for Score-P|
|2:30||Diptorup Deb||QUARC: An Optimized DSL Framework using LLVM|
|3:30||Gheorghe-Teodor Bercea||Implementing Implicit OpenMP Data Sharing on GPUs|
|4:00||Toshio Endo||Applying Temporal Blocking with a Directive-based Approach|
|4:30||Xinmin Tian||LLVM Compiler Implementation for Explicit Parallelization and SIMD Vectorization|
|5:00||Sunita Chandrasekaran||OpenMP 4.5 Validation and Verification Suite|
|5:07||Hashim Sharif||Developing an OpenMP Runtime for UVM-Capable GPUs|
|5:14||Tobias Grosser||Improved Loop Distribution in LLVM using Polyhedral Dependences|
|5:21||Keyur Joshi||Implementation of a Cache Miss Calculator in LLVM/Polly|
Join us at the LLVM in HPC BoF: Tuesday, Nov. 14th, 12:15-1:15pm, in room 601.
Join us at the Flang Meetup: Wednesday, Nov. 15th, 6:30-7:30pm at the Curtis Hotel in the Hopscotch room (3rd floor). 1405 Curtis, St.
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 SC17: 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:
NEW THIS YEAR: The workshop will hold a lightning-talk session. Please contribute to making this session both vibrant and informative! An abstract and one-page summary is required for consideration.
Please see the SC17 home page for registration deadlines and other information associated with the parent event.
We are using EasyChair to manage submissions. Please submit papers to llvmhpc2017. The ACM SIG Proceedings Templates should be used. Papers should be no more than 12 pages (including references and figures). Please also note the ACM Author Rights policy.
|Erik Schnetter||Perimeter Institute for Theoretical Physics|
|Frank Winter||Thomas Jefferson National Accelerator Facility|
|Gary Funck||Intrepid Technology|
|Keno Fischer||Julia Computing, Inc.|
|Pat McCormick||Los Alamos National Laboratory|
|Sameer Shende||University of Oregon|
|Tobias Grosser||ETH Zürich|
|Torsten Hoefler||ETH Zürich|
Hal Finkel (firstname.lastname@example.org)