IEEE International Symposium on Workload Characterization

The IEEE International Symposium on Workload Characterization (IISWC) is a premier venue for research on understanding, measuring, and modeling the behavior of real-world computing workloads, enabling the design of more efficient processor architectures, memory systems, and computing platforms. The symposium brings together computer architects, system software researchers, and performance analysts to examine how modern applications — from cloud services and machine learning inference to mobile computing and scientific simulation — stress contemporary hardware systems. IISWC's rigorous empirical and analytical approaches to workload characterization provide the foundation for informed hardware and software co-design decisions.

workload charachterization microarchitecture performance evaluation benchmarking

We invite submissions on workload analysis, performance benchmarking, microarchitectural profiling, and the characterization of emerging workloads such as large language model inference, graph analytics, and heterogeneous computing scenarios. Papers employing novel measurement methodologies or providing new insights into the behavior of real-world applications are particularly encouraged.