Characterization of applications in domains such as

• 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

• User behavior and system-user interaction

Characterization of OS, Virtual Machine, middleware and library behavior

• Virtual machines, Websphere, .NET, Java VM, databases

• Graphics libraries, scientific libraries

• Operating system and hypervisor effects and overheads

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)

Benchmark creation and evaluation, including

• Multithreaded benchmarks, benchmark cloning

• 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

Emerging workloads and architectures, such as

• Transactional memory workloads; workloads for multi/many-core systems

• Stream-based computing workloads; web2.0/internet workloads; cyber-physical workloads

• Near data processing architectures