Path: csiph.com!weretis.net!feeder6.news.weretis.net!news.glorb.com!border1.nntp.dca1.giganews.com!border2.nntp.dca1.giganews.com!nntp.giganews.com!news.iecc.com!.POSTED.news.iecc.com!nerds-end From: Hal Finkel Newsgroups: comp.compilers Subject: LLVM-HPC2017 Workshop at SC17 - Call for papers (Denver, Nov 2017) Date: Wed, 21 Jun 2017 19:23:25 -0500 Organization: Argonne National Laboratory Lines: 100 Sender: news@iecc.com Approved: comp.compilers@iecc.com Message-ID: <17-06-014@comp.compilers> Mime-Version: 1.0 Content-Type: text/plain; charset="utf-8"; format=flowed Injection-Info: miucha.iecc.com; posting-host="news.iecc.com:2001:470:1f07:1126:0:676f:7373:6970"; logging-data="72292"; mail-complaints-to="abuse@iecc.com" Keywords: conference, CFP Posted-Date: 24 Jun 2017 11:05:27 EDT X-submission-address: compilers@iecc.com X-moderator-address: compilers-request@iecc.com X-FAQ-and-archives: http://compilers.iecc.com X-OriginatorOrg: anl.gov Xref: csiph.com comp.compilers:1895 CALL FOR PAPERS ============================================================================ LLVM-HPC2017: The Fourth Workshop on the LLVM Compiler Infrastructure in HPC http://llvm-hpc4-workshop.github.io/ November 13th, 2017, Denver, CO In conjunction with SC17: The International Conference for High Performance Computing, Networking, Storage and Analysis ============================================================================ The fourth annual LLVM in HPC Workshop, held in conjunction with SC17 and in cooperation with SIGHPC. 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 fourth annual 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: * 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 * Gap analyses of open-source LLVM-based tools 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. Deadlines: * Paper submissions due: September 1, 2017 * Notification to authors of acceptance: September 28, 2017 * Camera-ready papers due: October 11, 2017 * Workshop takes place: November 13, 2017 Please see the SC17 home page (http://sc17.supercomputing.org/) for registration deadlines and other information associated with the parent event. Submissions: We are using EasyChair to manage submissions: https://easychair.org/conferences/?conf=llvmhpc2017 Proceedings: The proceedings will be archived in both the ACM Digital Library and IEEE Xplore through SIGHPC. Organizer: Hal Finkel, Argonne National Laboratory, hfinkel@anl.gov Program Committee: Andrew Trick, Apple Cameron McInally, Cray Chandler Carruth, Google 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 Keno Fischer, Julia Computing, Inc. Michael Wong, Codeplay Nadav Rotem, Apple Pat McCormick, Los Alamos National Laboratory Ralf Karrenberg, Saarland University Sameer Shende, University of Oregon Tobias Grosser, ETH ZC