CALL FOR PAPERS 6th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2013 http://datasys.cs.iit.edu/events/MTAGS13/ Co-located with IEEE/ACM Supercomputing/SC 2013 Denver Colorado -- November 17th, 2013 Overview ------------------------------------------------------------------------------ The 6th workshop on Many-Task Computing on Grids and Supercomputers (MTAGS) will provide the scientific community a dedicated forum for presenting new research, development, and deployment efforts of large-scale many-task computing (MTC) applications on large scale clusters, Grids, Supercomputers, and Cloud Computing infrastructure. MTC, the theme of the workshop encompasses loosely coupled applications, which are generally composed of many tasks (both independent and dependent tasks) to achieve some larger application goal. This workshop will cover challenges that can hamper efficiency and utilization in running applications on large-scale systems, such as local resource manager scalability and granularity, efficient utilization of raw hardware, parallel file system contention and scalability, data management, I/O management, reliability at scale, and application scalability. We welcome paper submissions on all theoretical, simulations, and systems topics related to MTC, but we give special consideration to papers addressing petascale to exascale challenges. Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library (pending approval). The workshop will be co-located with the IEEE/ACM Supercomputing 2013 Conference in Denver Colorado on November 17th, 2013. For more information, please see http://datasys.cs.iit.edu/events/MTAGS13/. For more information on past workshops, please see MTAGS12, MTAGS11, MTAGS10, MTAGS09, and MTAGS08. We also ran a Special Issue on Many-Task Computing in the IEEE Transactions on Parallel and Distributed Systems (TPDS) which has appeared in June 2011; the proceedings can be found online at http://www.computer.org/portal/web/csdl/abs/trans/td/2011/06/ttd201106toc.htm. We, the workshop organizers, also published a highly relevant paper that defines Many-Task Computing which was published in MTAGS08, titled Many-Task Computing for Grids and Supercomputers; we encourage potential authors to read this paper, and to clearly articulate in your paper submissions how your papers are related to Many-Task Computing. Topics ------------------------------------------------------------------------------ We invite the submission of original work that is related to the topics below. The papers should be 6 pages, including all figures and references. We aim to cover topics related to Many-Task Computing on each of the three major distributed systems paradigms, Cloud Computing, Grid Computing and Supercomputing. Topics of interest include: Compute Resource Management Scheduling Job execution frameworks Local resource manager extensions Performance evaluation of resource managers in use on large scale systems Dynamic resource provisioning Techniques to manage many-core resources and/or GPUs Challenges and opportunities in running many-task workloads on HPC systems Challenges and opportunities in running many-task workloads on Cloud infrastructure Storage architectures and implementations Distributed file systems Parallel file systems Distributed metadata management Content distribution systems for large data Data caching frameworks and techniques Data management within and across data centers Data-aware scheduling Data-intensive computing applications Eventual-consistency storage usage and management Programming models and tools MapReduce and its generalizations Many-task computing middleware and applications Parallel programming frameworks Ensemble MPI techniques and frameworks Service-oriented science applications Large-Scale Workflow Systems Workflow system performance and scalability analysis Scalability of workflow systems Workflow infrastructure and e-Science middleware Programming paradigms and models Large-Scale Many-Task Applications High-throughput computing (HTC) applications Data-intensive applications Quasi-supercomputing applications, deployments, and experiences Performance Evaluation Performance evaluation Real systems Simulations Reliability of large systems How MTC Addresses Challenges of Petascale and Exascale Computing Concurrency & Programmability I/O & Memory Energy Resilience Heterogeneity Important Dates ------------------------------------------------------------------------------ Paper submission: September 15, 2013 Acceptance notification: October 13, 2013 Final papers due: November 10th, 2013 Paper Submission ------------------------------------------------------------------------------ Authors are invited to submit papers with unpublished, original work of not more than 6 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per ACM 8.5 x 11 manuscript guidelines; document templates can be found at http://www.acm.org/sigs/publications/proceedings-templates. The final 6 page papers in PDF format must be submitted online at https://cmt.research.microsoft.com/MTAGS2013/ before the deadline of September 15th, 2013 at 11:59PM PST. Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library (pending approval). Notifications of the paper decisions will be sent out by October 13th, 2011. Selected excellent work may be eligible for additional post-conference publication as journal articles; we will be running a journal special issue in the IEEE Transaction on Cloud Computing (see http://datasys.cs.iit.edu/events/ScienceCloud2014-TCC/). Submission implies the willingness of at least one of the authors to register and present the paper. For more information, please see http://datasys.cs.iit.edu/events/MTAGS13. Organization ------------------------------------------------------------------------------ General Chairs Ioan Raicu, Illinois Institute of Technology & Argonne National Laboratory, USA Ian Foster, University of Chicago & Argonne National Laboratory, USA Yong Zhao, University of Electronic Science and Technology of China, China Justin Wozniak, Argonne National Laboratory, USA Steering Committee David Abramson, Monash University, Australia Jack Dongarra, University of Tennessee, USA Geoffrey Fox, Indiana University, USA Manish Parashar, Rutgers University, USA Marc Snir, Argonne National Laboratory & University of Illinois at Urbana Champaign, USA Xian-He Sun, Illinois Institute of Technology, USA Weimin Zheng, Tsinghua University, China Program Committee Samer Al-Kiswany (University of British Columbia) Mihai Budiu (Microsoft Research) Kyle Chard (University of Chicago) Yong Chen (Texas Tech University) Evangelinos Constantinos (IBM Research) Catalin Dumitrescu (Fermi National Labs) Alexandru Iosup (Delft University of Technology - Netherlands) Florin Isaila (Universidad Carlos III de Madrid ) Kamil Iskra (Argonne National Laboratory) Hui Jin (Oracle Corporation) Daniel Katz (University of Chicago) Zhiling Lan (Illinois Institute of Technology) Mike Lang (Los Alamos National Laboratory) Christopher Moretti (Princeton University) Bogdan Nicolae (IBM Research) David O'Hallaron (Carnegie Mellon University & Intel Laboratory) Marlon Pierce (Indiana University) Judy Qiu (Indiana University) Wei Tang (Argonne National Laboratory) Edward Walker (Whitworth University) Matthew Woitaszek (Walmart Labs) Ken Yocum (University of California at San Diego) Zhifeng Yun (Louisiana State University) Zhao Zhang (University of Chicago) Ziming Zheng (Illinois Institute of Technology)