[hpc-announce] REV-A 2017 CFP

[Luiz DeRose]

(Apologies if you are receiving multiple copies of this CFP. Please do forward it to interested colleagues.)

--------------------  REV-A 2017 CFP ---------------------

Re-Emergence of Vector Architectures Workshop - https://rev-a.github.io/

To be held in Conjunction with the IEEE Cluster 2017
September 5, 2017, Honolulu, Hawaii, USA

Paper submission:  REV-A Submission<https://easychair.org/conferences/overview.cgi?a=13663824>
Papers due:  July 09, 2017

The commoditization of high performance computing to a broader range of applications coupled with the reduction in performance improvement from traditional scaling technologies has led to a broad interest in a number of new compute acceleration technologies from GPGPUs to CGRAs and FPGAs. Meanwhile, SIMD widths have been widening to try to keep up with computational demand and general purpose architectures have started incorporating features from the vector architectures that used to dominate high performance computing. From IBM's Vector Media eXtension (VMX) to NEC's SX architecture to Intel's Advanced Vector eXtension (AVX) to ARM's recently announced Scalable Vector Extension (SVE) -- all of the major general purpose architectures seem to have embraced a return to vector based functionality.

Supporting these hardware developments there are a number of features being proposed for incorporation into modern programming models and languages in order to support the vector additions as well as restructuring memory access in order to feed the computational pipelines. Meanwhile application developers have been hard at work trying to refactor code to take advantage of wider vector units and more complicated memory hierarchies. Tools and techniques for developing for these new vector architectures are still evolving, particularly on emerging languages and runtimes.

The REV-A 2017 workshop will be a full-day meeting to be held at the IEEE Cluster 2017, in Honolulu, Hawaii, focusing on all aspects of vector architectures, programming models, programming frameworks, and applications.   Topics of interest, of both theoretical and practical significance, include but are not limited to:

*       Programming framework
*       Programming model and language explorations
*       Compilation and optimization including:
o       algorithmic improvements
o       code optimization
*       Performance Analysis and Debugging Tools
*       Performance Metrics and Evaluations
*       Libraries and run-time systems
*       Design, generation, verification and validation of representative applications
*       Case-studies of representative applications
*       Innovative applications for vector architectures
*       Hardware studies and micro-architectural implementation tradeoffs

The REV-A workshop proceedings will be published along with the IEEE Cluster Digital Library. Submitted manuscripts should follow the IEEE Xplore format for publication: not exceed 10 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages, including figures, tables, and references. Manuscripts must be submitted electronically in PDF format. Submissions will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers may not have appeared in or be under consideration for another workshop, conference, or journal. Accepted papers will have a page limit of 8 pages, and authors can purchase an additional 2 pages, for a total of 10 pages maximum.


Important Dates:
Papers due:                                           July 09, 2017
Author notification:                             August 11, 2017
Camera-ready final papers due:       August 25, 2017
REV-A Workshop:                                September 05, 2017

Workshop Chairs:
Luiz DeRose                           Cray Inc.
Eric Van Hensbergen           ARM Research

Program Committee:
David Abramson                   University of Queensland
Bronis R. de Supinski           Lawrence Livermore National Laboratory
Mootaz N. Elnozahy             KAUST
Roger Espasa                         SemiDynamics
Michael Garland                   NVIDIA
Ian Karlin                               Lawrence Livermore National Laboratory
David Lilja                              University of Minnesota
Sally McKee                          Chalmers University of Technology
Sanyam Mehta                     Cray Inc.
Hiroshi Nakashima               Kyoto University
Lawrence Rauchwerger      Texas A&M University
Mitsuhisa Sato                      Riken
Sunil Shrestha                       Cray Inc.
Mateo Valero                        Barcelona Supercomputing Center / UPC
Jeffrey Vetter                        Oak Ridge National Laboratory
Felix Wolf                              TU Darmstadt
Pen-Chung Yew                    University of Minnesota


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