[hpc-announce] CFP: The First IEEE Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM’2016)

Song, Shuaiwen Shuaiwen.Song at pnnl.gov
Tue Oct 27 09:43:23 CDT 2015


                              CALL FOR PAPERS:
                          The First IEEE Workshop on
Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM’2016)
                           May 27th, 2016, Chicago

                             Held in conjunction with
The 30th IEEE International Parallel & Distributed Processing Symposium
                                 (IPDPS’16)

Node architectures of extreme-scale systems are rapidly increasing in
complexity. Emerging homogeneous and heterogeneous designs provide massive
multi-level parallelism, but developing efficient runtime systems and
middleware that allow applications to efficiently and productively exploit
these architectures is extremely challenging.  Moreover, current
state-of-the-art approaches may become unworkable once energy consumption,
resilience, and data movement constraints are added. The goal of this workshop
is to attract the international research community to share new and bold ideas
that will address the challenges of design, implementation, deployment, and
evaluation of future runtime systems and middleware.

Scope:

This workshop will emphasize novel, disruptive research ideas over incremental
advances. We will solicit papers on topics including, but not limited to, the
following areas:

Runtime System/Middleware Design, Evaluation and Usage
* Runtime/Middleware for emerging HPC and cloud computing platforms
* Runtime/Middleware for Big Data Computing
* Modeling and Performance Analysis of Runtime Systems
* Comparison studies of different runtime systems and middleware
* Tuning and Optimization studies
* Interactions between Runtime Systems and Middleware
* Runtime-architecture co-design

Constraints and Issues for Runtime Systems and Middleware
* Energy- and Power-aware schemes
* Fault Tolerance and Reliability
* Scalable high-performance I/O and access to Big Data
* Memory management
* Runtime data analysis (e.g., in-situ analysis)
* Real-time solutions and QOS
* Virtualization, provisioning, and scheduling
* Scalability of novel runtime systems and applications using them

Design Principles and Programming Support
* High-level programming models (e.g., thread and task based models, data
  parallel models, and stream programming) and domain-specific languages
* Programming frameworks, parallel programming, and design methodologies
* Methodologies and tools for runtime and middleware design, implementation,
  verification, and evaluation
* Wild and crazy ideas on future Runtime System and Middleware


Paper Submissions:

We invite two kinds of submissions to this workshop: (1) Full-length research
papers (8-page limit); (2) Short papers (4-page limit), which can take the
form of position papers, experience reports, or surveys/comparisons of runtime
systems and middleware. Papers should not exceed eight (or four) single-spaced
pages (including figures, tables and references) using 12-point font on
8.5x11-inch pages. Submissions should follow the IEEE Conference Proceedings templates
found at http://www.ieee.org/conferences_events/conferences/publishing/templates.html
Camera-ready copy will need to conform to IPDPS guidelines; these will be
announced during author notification. Submissions will be judged on correctness, originality,
technical strength, significance, presentation quality, and appropriateness.
Submitted papers should not have appeared in or under consideration for another
venue.


Important Dates:

* Full papers (8 pages max):
* Deadline: Jan. 22nd
* Automatic Extension: Jan. 29th
* Author notification: Feb. 12th
* Camera-ready copy: Feb. 26th

* Short papers (4 pages max):
* Deadline: Jan. 29th
* Automatic Extension: Feb.  5th
* Author notification: Feb. 19th
* Camera-ready copy: Feb. 26th

All dates are AOE ("Anywhere on earth").

Workshop Co-Chairs:

Shuaiwen Leon Song, PNNL       Shuaiwen.Song at pnnl.gov
Todd Gamblin, LLNL             tgamblin at llnl.gov


Publicity Chair
Jingweijia Tan, University of Houston

Proceeding Chair
Albert Sidelnik, NVIDIA Research

Web Chair
Joseph Manzano, Pacific Northwest National Laboratory

Program Committee
Ananta Tiwari, San Diego Supercomputing Center, USA
Huiyang Zhou, North Carolina State University, USA
Felix Wolf, German Research School For Simulation Sciences, Germany
Lizy Kurian John, University of Texas, Austin, USA
Jeff Young, Georgia Tech, USA
Benoit Meister, Reservoir Labs, USA
Suren Byna, Lawrence Berkley National Lab, USA
Siva Hari, NVIDIA Research, USA
Zhijia Zhao, University of California, Riverside, USA
Holger Fröning, Ruprecht-Karls University of Heidelberg, Germany
Ioan Raicu, Illinois Institute of Technology, Argonne National Laboratory, USA
Boyana Norris, University of Oregon, USA
Prasanna Balaprakash, Argonne National Laboratory, USA
Xu Liu, College of William and Mary, USA
Bo Wu, Colorado School of Mines, USA
Depanjon Sunguputa, Georgia Tech, USA
Ang Li, Eindhoven University of Technology, Netherlands
Marc Cass, Barcelona Supercomputing Center, Spain




-----------------------------------------------------------------------------------------------
Shuaiwen Leon Song
Staff Research Scientist
High Performance Computing Group,
Advanced Computing, Mathematics, and Data Division,
Pacific Northwest National Lab (PNNL),
Washington, US,
Office:509-372-4189
Email: Shuaiwen.Song at pnnl.gov<mailto:Shuaiwen.Song at pnnl.gov>
HomePage: https://sites.google.com/site/shuaiwensongsresearch/

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
It is never too late to become what you might have been.       ^
-- George Elliot                                                                    ^
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