[hpc-announce] CFP: HIPS 2019 in conjunction with IEEE IPDPS'2019 Rio de Janeiro

[Changhee Jung]

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The 24th International Workshop on High-Level Parallel Programming Models
and Supportive Environments (HIPS 2019) http://cs.vt.edu/hips2019/
May 20, 2019, Rio de Janeiro, Brazil (Co-located with IPDPS 2019)
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The 24th HIPS workshop, to be held as a full-day meeting on May 20th at the
IEEE IPDPS 2019 conference in Rio de Janeiro, Brazil, focuses on high-level
programming of multiprocessors, compute clusters, and massively parallel
machines. Like previous workshops in the series, which was established in 1996,
this event serves as a forum for research in the areas of parallel applications,
language design, compilers, runtime systems, and programming tools. It provides
a timely and lightweight forum for scientists and engineers to present
the latest
ideas and findings in these rapidly changing fields. In our call for papers, we
especially encouraged innovative approaches in the areas of emerging
programming models for large-scale parallel systems and many-core architectures.

HIPS 2019 accepts two types of submissions:
1. Full papers (10 pages max)
Submission deadline: Jan 22, 2019
Notification of acceptance: Feb 8, 2019
Camera-ready papers due: Feb 26, 2019

2. Short papers (4 pages max)
Submission deadline: Jan 29, 2019
Notification of acceptance: Feb 19, 2019
Camera-ready papers due: Feb 26, 2019

Submissions are handled through the EasyChair conference management system:
https://www.easychair.org/conferences/?conf=hips2019

More information at http://cs.vt.edu/hips2019/

** Topics **
- Programming models for heterogeneous compute capabilities and deep memories
- Languages and runtime support for multi-science/coupled codes
- New programming languages and constructs for exploiting parallelism/locality
- Experience with and improvements for existing parallel languages and run-time
  environments such as MPI, OpenMP, Cilk, UPC, Co-array Fortran, X10, Chapel,
  Charm++, and OpenCL
- Parallel compilers, programming tools, and environments
- Parallelism in emerging fields such as analytics, cloud, and machine learning
- (Scalable) tools for power & performance analysis, modeling, monitoring, and
  debugging and core correctness
- OS and architectural support for parallel programming and debugging
- Software and system support for extreme scalability including fault
tolerance and
  power-aware HPC
- Programming environments for heterogeneous multicore systems and
  accelerators such as GPUs, FPGAs, and MICs
- Performance portability in heterogeneous parallel programming environment
- Performance Reproducibility in HPC: tools for quantifying and minimizing
  performance variability

** Workshop Co-chairs **
Neha Gholkar, Intel
Changhee Jung, Virginia Tech

** Program Committee **
Sriram Krishnamoorthy, Pacific Northwest National Laboratory
Devesh Tiwari, Northeastern University
Barry Rountree, Lawrence Livermore National Laboratory
Qingrui Liu, Xilinx
Simone Atzeni, NVIDIA
Pedro Valero-Lara, The University of Manchester
Xu Liu, College of William and Mary
Shuaiwen Song, Pacific Northwest National Laboratory
Bin Ren, College of William and Mary
Seyong Lee, Oak Ridge National Laboratory
Dongyoon Lee, Virginia Tech
Joachim Protze, RWTH Aachen University
Thomas Scogland, Lawrence Livermore National Laboratory
Yun Liang, Peking University
Ryan Grant, Sandia National Laboratories
Tapasya Patki, Lawrence Livermore National Laboratory
Allen Malony, University of Oregon
Uday Khedker, IIT Bombay
Mitsuhisa Sato, RIKEN