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 [email protected] Todd Gamblin, LLNL [email protected] 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: [email protected]<mailto:[email protected]> HomePage: https://sites.google.com/site/shuaiwensongsresearch/ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ It is never too late to become what you might have been. ^ -- George Elliot ^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^