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
• Quantum 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

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
• Artificial intelligence and transactional memory 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