CALL FOR PAPERS IISWC 2013 2013 Annual IEEE International Symposium on Workload Characterization Portland, Oregon, September 22-24, 2013 http://www.iiswc.org\ ******* Please note updated submission date: April 5th 2013 ************ =========================================================================== 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. We solicit papers in all areas related to characterization of computing system workloads. Topics of interest include (but are not limited to): o Characterization of applications in areas including Search engines, e-commerce, web services, databases, file/application servers Embedded, mobile, multimedia, real-time, 3D-Graphics, gaming, telepresence Life sciences, bioinformatics, scientific computing, finance, forecasting Machine Learning, Analytics, Data mining Security, reliability, biometrics Grid and Cloud computing o Characterization of OS, Virtual Machine, middleware and library behavior Virtual machines, Websphere, .NET, Java VM, databases Graphics libraries, scientific libraries o Characterization of system behavior, including Operating system and hypervisor effects and overheads Hardware accelerators (GPGPU, XML, crypto, etc) User behavior and system-user interaction Instrumentation methodologies for workload verification and characterization Techniques for accurate analysis/measurement of production systems o Implications of workloads in design issues, such as Power management, reliability, security, performance Processors, memory hierarchy, I/O, and networks Design of accelerators, FPGA's, GPU's, etc. Novel architectures (non-Von-Neumann) o Benchmark creation, analysis, and evaluation issues, including Multithreaded benchmarks, benchmark cloning Profiling, trace collection, synthetic traces Validation of benchmarks o Analytical and abstract modeling of program behavior and systems o Emerging and future workloads Transactional memory workloads; workloads for multi/many-core systems Stream-based computing workloads; web2.0/internet workloads; Cyber-physical workloads ================================================================== Important Dates: Abstracts Due..................April 5, 2013 Papers Due.....................April 13, 2013 Author Notification............June 14, 2013 ================================================================== General Chair......................Ravi Iyer, Intel Program Chair......................David Brooks, Harvard Workshop/Tutorials Chair...........Eriko Nurvitadhi, Intel Finance Chair......................Rajeev Balasubramonian, U. of Utah Local Arrangements Chair...........Omesh Tickoo, Intel Publications Chair.................Vijay Janapa Reddi, UT-Austin Publicity Chair....................Kushagra Vaid, Microsoft Registration Chair.................Guangdeng Liao, Intel Web Chair..........................Mi Sun Park, Penn State University Submissions Chair..................Glenn Holloway, Harvard Program Committee.................. Leslie Barnes, AMD Brad Beckmann, AMD Mei Chen, Intel Paul Gratz, Texas A&M Mark Hempstead, Drexel James Hoe, Carnegie-Mellon University Martha Kim, Columbia Benjamin Lee, Duke Xiaoyao Liang, Shanghai Jiao Tong University Tipp Moseley, Google Valentina Salapura, IBM Weidong Shi, Houston Ravi Soundararajan, VMware Bronis di Supinski, LLNL Lingjia Tang, UC-San Diego Olivier Temam, INRIA Qiang Wu, Facebook Carole-Jean Wu, Arizona State University Chia-Lin Yang, National Taiwan University Li Zhao, Intel ==================================================================