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MSPC 2013 : ACM SIGPLAN Workshop on Memory Systems Performance and Correctness | |||||||||||||||
Link: http://comparch.gatech.edu/hparch/mspc2013 | |||||||||||||||
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Call For Papers | |||||||||||||||
CALL FOR PAPERS: MSPC 2013
ACM SIGPLAN Workshop on Memory Systems Performance and Correctness June, 2013 Co-located with PLDI 2013, Seattle, Washington http://comparch.gatech.edu/hparch/mspc2013 Paper deadline: March 15, 2013 Notification: April 20, 2013 -------------------------------------------------------------------------- Memory continues to be a major bottleneck in almost all computing systems. It is becoming more so as more cores and agents are sharing parts of the memory system and as applications that run on the cores are becoming increasingly data intensive. Continuing the tradition of seven previous successful incarnations, MSPC 2013 will provide a forum for publishing and discussing all aspects of memory performance and correctness on a variety of systems (multi-core, desktop, embedded, server/cloud, high-performance computing, sensor, etc) and related software and hardware innovations at various levels of the technology stack. We invite new submissions that tackle issues in memory system performance, efficiency, correctness, and dependability in both hardware and software layers. Example areas of interest include but are not limited to the following: * Hardware, software, and hybrid techniques for better memory performance, correctness, reliability, efficiency * Memory hierarchy design for chip multiprocessors (CMPs) * Emerging memory technologies (e.g., Phase Change Memory, MRAM) * Characterization and analysis of memory systems performance * Insightful experimental evaluation and analysis of memory-intensive workloads * Static and dynamic techniques for understanding and improving memory performance and efficiency * Managed memory and garbage collection optimizations * Hardware and software techniques for ensuring memory safety and detecting memory-related bugs * Hardware and software memory models and their impact on programmability and performance * Memory system issues in accelerator-based computing (e.g., GPGPU) * Memory system issues in embedded computers and tiny devices * Prefetching, compression, latency tolerance techniques for memory * Memory power and energy management techniques * Memory reliability management techniques Software, hardware, and hybrid approaches are encouraged. In addition, we solicit papers from practitioners describing problems and experiences with memory performance and correctness in specific application domains. Submission Guidelines: We encourage the submission of not-fully-polished but provocative short papers (6--8 pages; 8 pages maximum) or position abstracts (1--2 pages; 2 pages maximum). Paper submissions should use standard ACM SIGPLAN conference format (10pt). Copies of accepted papers will be made available at the workshop and published in the ACM digital library. Submitted papers must not be simultaneously under review for any other conference or journal, and authors should point out any substantial overlap with their previously published or currently submitted work. --------------------------------------------------------------------------- ORGANIZING COMMITTEE --------------------------------------------------------------------------- General Chair Gabriel Loh, AMD Program Chair Hyesoon Kim, Georgia Tech Daniel Chavarria, Pacific Northwest National Lab Program Committee Philippe Clauss, INRIA John Cavazos, University of Delaware Daniel Chavarria, Pacific Northwest National Lab Boris Grot, EPFL Jeff Hammond, Argonne National Lab Hillery Hunter, IBM Hyesoon Kim, Georgia Tech Minjang Kim, Qualcomm Jaejin Lee, Seoul National University Costin Iancu, Lawrence Berkely National Laboratory Jim Larus, Microsoft Research Lawrence Rauchwerger, Texas A&M Wenjing Ma, Chinese Academy of Sciences Mayur Naik, Georgia Tech Satish Narayanasamy, University of Michigan Vijay Reddi, UT-Austin Xipeng Shen, William and Mary Antonino Tumeo, Pacific Northwest National Lab Jeffery Vetter, Oak Ridge National Lab & Georgia Tech Uzi Vishkin, University Maryland Steering Committee Emery Berger, UMass Amherst Brad Chen, Google Trishul Chilimbi, Microsoft Research Chen Ding, Rochester Madan Musuvathi, Microsoft Research Onur Mutlu, Carnegie Mellon University Xipeng Shen, College of William & Mary Jeffrey S. Vetter, Oak Ridge National Lab & Georgia Tech Ben Zorn, Microsoft Research Web and Submissions Chairs Jaekyu Lee, Georgia Tech |
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