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Work focusing on emerging technologies and interdisciplinary work are especially welcome. Topics of interest include (but are not limited to): Characterization of applications in traditional and emerging domains, characterization of system software and middleware, implications of workloads in system design, benchmarking methodologies and suites, and tools for computer systems. A detailed list of the topics can be found at the end of this CFP. Topics of interest Characterization of applications in domains including Life sciences, bioinformatics, scientific computing, finance, forecasting Machine learning, data analytics, data mining Cyber-physical systems, pervasive computation and Internet of Things (IoT) Security and privacy-preserving computing High performance computing Cloud and edge computing Mobile computing User behavior and system-user interaction Search engines, e-commerce, web services, and databases Embedded, multimedia, real-time, 3D-graphics, gaming Blockchain services Augmented reality and virtual reality Characterization of workloads for emerging workloads and architectures, such as Quantum computations and communication Serverless computing Near-threshold computing Non-volatile memory Near data processing architectures Neuromorphic and brain-inspired computing Transactional memory systems Biology (e.g., DNA sequencing) and chemistry workloads Characterization of OS, Virtual Machine, middleware and library behavior, including Virtual machines, .NET, Java VM, databases Graphics libraries, scientific libraries Operating system and hypervisor effects and overheads Implications of workloads in system design, such as Power management, reliability, security, privacy, performance Processors, memory hierarchy, I/O, and networks Design of accelerators, FPGAs, GPUs, CGRAs, etc. Large-scale computing infrastructures and facilities Benchmark methodologies and suites, including Representative benchmarks for emerging workloads Benchmark cloning methods Profiling, trace collection, synthetic traces Validation of benchmarks Measurement tools and techniques, including Instrumentation methodologies for workload verification and characterization Techniques for accurate analysis/measurement of production systems Analytical and abstract modeling of program behavior and systems</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2023-05-03</div> </div> </div>  <div 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