HPC System Lifetime Story: Workload Characterization and Evolutionary Analyses on NERSC Systems
2015 (English)In: Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing (HDPC), ACM Digital Library, 2015, , 57-60 p.57-60 p.Conference paper (Refereed)
High performance computing centers have traditionally served monolithic MPI applications. However, in recent years, many of the large scientific computations have included high throughput and data-intensive jobs. HPC systems have mostly used batch queue schedulers to schedule these workloads on appropriate resources. There is a need to understand future scheduling scenarios that can support the diverse scientific workloads in HPC centers. In this paper, we analyze the workloads on two systems (Hopper and Carver) at the National Energy Research Scientific Computing (NERSC) Center. Specifically, we present a trend analysis towards understanding the evolution of the workload over the lifetime of the two systems.
Place, publisher, year, edition, pages
ACM Digital Library, 2015. , 57-60 p.57-60 p.
Scheduling, workload, trend analysis, HPC
Research subject Computer Science
IdentifiersURN: urn:nbn:se:umu:diva-110525DOI: 10.1145/2749246.2749270ISBN: 978-1-4503-3550-8OAI: oai:DiVA.org:umu-110525DiVA: diva2:862488
The 24th International Symposium on High-Performance Parallel and Distributed Computing (HDPC), Portland, Oregon, June 15-19, 2015
FundereSSENCE - An eScience CollaborationEU, FP7, Seventh Framework Programme, 610711Swedish Research Council, C0590801