[hpc-announce] CFP for AsHES'14 [deadline extended to Jan 14]: The Fourth International Workshop on Accelerators and Heterogeneous Exascale Systems

Yao Zhang yaozhang at alcf.anl.gov
Wed Jan 1 00:23:34 CST 2014


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*                              Call for papers: AsHES'14
<http://www.mcs.anl.gov/events/workshops/ashes/2014/> *
                       The Fourth International Workshop on
              Accelerators and Hybrid Exascale Systems (AsHES)
                           May 20th, 2014 in Phoenix, USA
                  To be held in conjunction with IPDPS 2014

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*Workshop Website:*
http://www.mcs.anl.gov/events/workshops/ashes/2014/organizers.php

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*Workshop Scope and Goals:*

As we look beyond the petascale era, accelerator and heterogeneous
architectures are expected to play a preeminent role in architecting the
largest systems in the world. Future systems may not only offer
accelerators (e.g. GPU, MIC, FPGA) and hybrid processors of both
lightweight and heavyweight cores (e.g APU, big.LITTLE), but also may use
hybrid memory systems equipped with stacked memory and non-volatile memory
in addition to regular DRAM. While there is significant interest in these
architectures, much of it is an artifact of the hype associated with them.
This workshop focuses on understanding the implications of accelerators and
heterogeneous designs on the hardware systems, applications, and
programming environments of future systems. It seeks to ground accelerator
research through studies of application kernels or whole applications on
such systems, as well as tools and libraries that improve the performance
and productivity of applications on these systems.

The goal of this workshop is to bring together researchers and
practitioners who are involved in application studies for accelerators and
other heterogeneous systems, to learn the opportunities and challenges in
future design trends for HPC applications and systems.

We are soliciting contributions in areas including but not limited to:
 - Strategies for application behavior characterization and performance
optimization for accelerators.
 - Techniques for optimizing kernels for execution on GPU, MIC, and future
heterogeneous platforms.
 - Models of application performance on heterogeneous HPC systems.
 - Implications of workload characterization in heterogeneous architecture
design.
 - Benchmarking and performance evaluation for accelerators.
 - Tools and techniques to assist application development for accelerators
and heterogeneous processors.
 - System software techniques to abstract application domain-specific
functionalities for accelerators.

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*Important Dates:*

Paper Submission: Jan. 14, 2014 (Anywhere on Earth)
Author Notification: Feb. 21, 2014
Camera-Ready Deadline: Mar. 10, 2014

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*Submission Instructions:*

Submitted manuscripts may not exceed 8 single-spaced double-column pages
using 10-point size font on 8.5x11 inch pages (IEEE conference style),
including figures, tables, and references. See the style templates for
latex or word for details.

Submissions will be judged based on relevance, significance, originality,
correctness and clarity.

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*Proceedings:*

The proceedings of this workshop will be published electronically together
with with IPDPS proceedings via the IEEE Xplore Digital Library.

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*Journal Special Issue:*

The best papers of AsHES 2014 will be included in a Special Issue on
Applications for the Heterogeneous Computing Era of the International
Journal of High Performance Computing Applications.

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*Organizers:*


*Steering Committee*Pavan Balaji, Argonne National Laboratory (co-chair)
Yunquan Zhang, Chinese Academy of Sciences
Satoshi Matsuoka, Tokyo Institute of Technology
Jiayuan Meng, Argonne National Laboratory (co-chair)

*General Chair*
Yunquan Zhang, Chinese Academy of Sciences

*Program Chairs*
James Dinan, Intel
Xiaosong Ma, North Carolina State University

*Publicity Chairs*
Yao Zhang, ANL
Antonio Pena, ANL

*Web Chair*
Liang Yuan, Chinese Academy of Sciences

*Technical Program Committee*
Gabriele Jost, Intel
Yongpeng Zhang, Stone Ridge
Carl Beckmann, Intel
Antonio J. Peña, ANL
Fangfang Xia, ANL
Naoya Maruyama, Tokyo Tech
Sriram Krishnamoorthy, PNNL
Bronis de Supinski, LLNL
Dong Li, ORNL
Surendra Byna, LBNL
Dimitris Nikolopoulos, UOC
Xipeng Shen, William & Mary
Polychronis Xekalakis, Intel
Huimin Cui, CAS
Siva Hari, NVidia
Feng Ji, VMWare
Hao Wang, Virginia Tech
Rong Ge, Marquette

*Journal Special Issue Co-editors*
Yunquan Zhang, CAS
Dong Li, ORNL
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