posted by user: yaozhang || 2880 views || tracked by 7 users: [display]

AsHES 2014 : The Fourth International Workshop on Accelerators and Heterogeneous Exascale Systems

FacebookTwitterLinkedInGoogle

Link: http://www.mcs.anl.gov/events/workshops/ashes/2014/
 
When May 20, 2014 - May 20, 2014
Where Phoenix, USA
Submission Deadline Jan 16, 2014
Notification Due Feb 21, 2014
Final Version Due Mar 10, 2014
Categories    computer science   high performance computing   computer architecture   exascale computing
 

Call For Papers

============================================================
Call for papers: AsHES'14
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

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

============================================================
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.

============================================================
Important Dates:

Paper Submission: Jan. 16, 2014 (Anywhere on Earth)
Author Notification: Feb. 21, 2014
Camera-Ready Deadline: Mar. 10, 2014

============================================================
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.

============================================================
Proceedings:

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

============================================================
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.

============================================================
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

Related Resources

HEART 2022   12th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies
GreeNet Symposium - SGNC 2022   11th Symposium on Green Networking and Computing (SGNC 2020)
HEART 2022   12th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies
EI-CFAIS 2022   2022 International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2022)
Micro - Compiling for Accelerators 2022   IEEE Micro Special Issue on Compiling for Accelerators
SBAC-PAD 2022   The 34th IEEE International Symposium on Computer Architecture and High Performance Computing
4th AccML 2022   4th Workshop on Accelerated Machine Learning (AccML)
ACM-Ei/Scopus-ITNLP 2022   2022 2nd International Conference on Information Technology and Natural Language Processing (ITNLP 2022) -EI Compendex
HeteroPar 2022   Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms
HiPC 2022   29th IEEE International Conference on High Performance Computing, Data & Analytics