[hpc-announce] CFP: IXPUG Workshop ISC2019

[Taisuke BOKU]

                        CALL FOR PAPERS
                     IXPUG Workshop ISC2019
         https://www.ixpug.org/events/isc19-ixpug-workshop

                         June 20th, 2019
                      Frankfurt Marriott Hotel
                    in Conjunction with ISC2019

Overview:
 IXPUG - Intel eXtreme Performance Users Group is a user's community
for extreme performance research and industry activities based on Intel
products. IXPUbG organizes several workshops conjuncted with major
international conferences/symposiums on high performance computing over
the world. For ISC2019 held in Frankfurt Messe, IXPUG Workshop will be
held as a part of ISC2019 on the last day of conference which is dedicated
as Workshop Day.
  The workshop will bring together software developers, scientists,
academia, and industry luminaries to share learnings around the
integration and use of FPGA devices in HPC, Data Analytics, and
Artificial Intelligence (Machine Learning and Deep Learning) workloads
in Intel-based HPC systems. The workshop will cover strategies for
migrating workloads onto FPGAs, performance comparisons, aspects of
productivity, performance portability, and scalability. Objectives of
the workshop are:
  1.) using FPGAs on Intel-based systems and scientific achievements,
  2.) FPGA-related trends and challenges, and
  3.) foster collaborations and strengthen the community of FPGA
      enthusiasts using Intel-based HPC systems.

Date and Place:
 June 20th (Thu) 2:00PM - 6:00PM (Workshop Day of ISC2019)
 Frankfurt Marriott Hotel (Room Megabyte), Frankfurt, Germany

Topics of Interest (but not limited to):
 Sharing field-programmable gate array (FPGA), FPGA programming
environments and abstraction tools, FPGA programming models,
comparison of FPGA performance vs traditional or GPU hardware,
embedded memory architectures, algorithmic techniques and mapping to
FPGAs, machine learning algorithms on FPGAs, FPGA offload techniques,
FPGA interfaces to traditional hardware, integrating FPGAs into an
existing HPC environment.

Keywords:
 Field-programmable gate array (FPGA), reconfigurable architectures,
HPC, Artificial Intelligence (machine learning and deep learning)
applications performance, FPGAs using Intel-based technology,
benchmarking, programming environments, FPGA tools and techniques.

Instructions for Papers
 Length rules: minimum 10 pages, maximum 18 pages.
 The accepted papers will be published in the Springer's Lecture Notes
in Computer Science (LNCS) series.
 Manuscripts should be therefore prepared following the publisher's
guidelines for authors, and using the publisher templates.

Review Process:
 All submitted papers will be reviewed and we will apply the standard
single-blind review process (i.e. the authors will be known to
reviewers). The assignment of reviewers from the Program Committee
avoids conflicts of interest. All submissions within the scope of the
workshop will be peer-reviewed and will need to demonstrate quality of
results, originality, new insights, technical strength, and ensure
correctness. The submitted papers may not be published in or be in
preparation for the other conferences, workshops or journals.

Important Dates:
- Deadline for Paper Submissions and Uploaded to IXPUG EasyChair: April 14, 2019
- Final Paper Acceptance Notifications: April 24, 2019 (new date!)
- Final Paper Submission and Uploaded to IXPUG EasyChair: June 19, 2019

Submission Site:
 https://easychair.org/cfp/ISC19IXPUGWorkshop

Publication
 Accepted papers will be published in the Springer's Lecture Notes in Computer Science (LNCS) series on ISC2019 Workshops.

Organizers:
 Thomas Steinke, IXPUG President (Zuse Institute Berlin)
 Estela Suarez (Juelich Supercomputing Centre)
 Taisuke Boku (University of Tsukuba)
 Nalini Kumar (Intel Corporation)
 David Martin (Argonne National Laboratory)

Review Committee:
 R. Glenn Brook, IXPUG Vice-President (University of Tennessee, Knoxville)
 Richard Gerber (NERSC/LBNL)
 Clay Hughes (SNL)
 Kent Milfeld (TACC)
 Hai Ah Nam (Los Alamos National Laboratory)
 David Keyes (KAUST)
 John Pennycook (Intel Corporation)
 Vit Vondrak (VSB-Technical University of Ostrava)
 James Lin (Shanghai Jiao Tong University)
 Fabio Affinito (CINECA)
 Vladimir Mironov (Lomonosov Moscow State University)
 Sergi Siso (UK Science & Technology Facilities Council)