Topics of InterestPermalink

Characterization of applications in domains including

Life sciences, bioinformatics, scientific computing, finance, forecasting
Machine learning, deep learning, generative AI and LLMs, 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
Human-computer interaction (HCI)
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

Accelerator-based computing
Quantum computations and communication
Serverless computing
Near-threshold computing
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-aware computing and carbon footprinting
Dependable system and software architectures
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

Measurement tools and software for carbon footprinting
Instrumentation methodologies for workload verification and characterization
Techniques for accurate analysis/measurement of production systems
Analytical and abstract modeling of program behavior and systems