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IISWC 2016 : 2016 IEEE International Symposium on Workload Characterization | |||||||||||||
Link: http://www.iiswc.org | |||||||||||||
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Call For Papers | |||||||||||||
[Apologies if you receive multiple copies of this announcement]
******* CALL FOR PAPERS: IISWC 2016 ******* 2016 IEEE International Symposium on Workload Characterization Providence, RI, September 25-27, 2016 http://www.iiswc.org *** Important Dates - Abstracts Submission: May 13, 2016 - Paper Submission: May 20, 2016 - Acceptance Notification: July 22, 2016 This symposium is dedicated to the understanding and characterization of workloads that run on all types of computing systems. New applications and programming paradigms continue to emerge rapidly as the diversity and performance of computers increase. On one hand, improvements in computing technology are usually based on a solid understanding and analysis of existing workloads. On the other hand, computing workloads evolve and change with advances in microarchitecture, compilers, programming languages, and networking communication technologies. Whether they are smart phones and deeply embedded systems at the low end or massively parallel systems at the high end, the design of future computing machines can be significantly improved if we understand the characteristics of the workloads that are expected to run on them. This symposium will focus on characterizing and understanding emerging applications in consumer, commercial and scientific computing. *** Topics of Interest We solicit papers in all areas related to characterization of computing system workloads. Topics of interest include (but are not limited to): • Characterization of applications in domains such as o Search engines, e-commerce, web services, databases, file/application servers o Embedded, mobile, multimedia, real-time, 3D-Graphics, gaming, telepresence o Life sciences, bioinformatics, scientific computing, finance, forecasting o Machine Learning, Analytics, Data mining o Security, reliability, biometrics o Grid and Cloud computing o User behavior and system-user interaction • Characterization of OS, Virtual Machine, middleware and library behavior o Virtual machines, Websphere, .NET, Java VM, databases o Graphics libraries, scientific libraries o Operating system and hypervisor effects and overheads • Implications of workloads in design issues, such as o Power management, reliability, security, performance o Processors, memory hierarchy, I/O, and networks o Design of accelerators, FPGA’s, GPU’s, etc. o Novel architectures (non-Von-Neumann) • Benchmark creation and evaluation, including o Multithreaded benchmarks, benchmark cloning o Profiling, trace collection, synthetic traces o Validation of benchmarks • Measurement tools and techniques, including o Instrumentation methodologies for workload verification and characterization o Techniques for accurate analysis/measurement of production systems o Analytical and abstract modeling of program behavior and systems • Emerging workloads and architectures, such as o Transactional memory workloads; workloads for multi/many-core systems o Stream-based computing workloads; web2.0/internet workloads; cyber-physical workloads o Near data processing architectures ORGANIZING COMMITTEE General Chair Resit Sendag, University of Rhode Island Program Co-Chairs Martha Kim, Columbia University Mark Hempstead, Tufts University Workshop/Tutorial Chair Omer Khan, University of Connecticut Publications Chair Gus Uht, University of Rhode Island Local Arrangements Chair Sherief Reda, Brown University Publicity Chairs Alper Buyuktosunoglu, IBM Ramon Bertran, IBM Submission Chair Tom Repetti, Columbia University Web Chair Mustafa Cavus, University of Rhode Island Program Committee Murali Annavaram, University of Southern California Brad Beckmann, AMD Abhishek Bhattacharjee, Rutgers University Christina Delimitrou, Cornell University Natalie Enright Jerger, University of Toronto Hadi Esmaeilzadeh, Georgia Tech Mike Ferdman, Stony Brook University Saturnino Garcia, University of San Diego Paul Gratz, Texas A&M Xiaochen Guo, Lehigh University Andrew Hilton, Duke University Jaehyuk Huh, KAIST David Kaeli, Northeastern University Omer Khan, University of Connecticut Samira Khan, University of Virginia Brandon Lucia, Carnegie Mellon University Daniel Lustig, NVIDIA Sherief Reda, Brown University Vijay Janapa Reddi, The University of Texas at Austin Francesco Regazzoni, ALaRI - USI Jack Sampson, Penn State Hiroshi Sasaki, Columbia University Ravi Soundararajan, VMware Carole-Jean Wu, Arizona State Steering Committee David Brooks (chair), Harvard University Lieven Eeckhout, Ghent University Ravishankar Iyer, Intel Lizy John, University of Texas, Austin David Kaeli, Northeastern University Derek Chiou, University of Texas, Austin and Microsoft David Christie, AMD David Lilja, University of Minnesota Onur Mutlu, Carnegie Mellon University John Paul Shen, Nokia Hsien-Hsin Lee, Georgia Tech Yan Solihin, North Carolina State University Tom Conte, Georgia Tech John B Carter, IBM Elmootazbellah Elnozahy, IBM Tom Wenisch, University of Michigan |
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