Benchmarks are important because they provide a means for users and researchers to characterize how their workloads will perform on different systems and different system architec...
The emergence of global-scale online services has galvanized scale-out software, characterized by splitting vast datasets and massive computation across many independent servers. ...
Pejman Lotfi-Kamran, Boris Grot, Michael Ferdman, ...
Using multi-GPU systems, including GPU clusters, is gaining popularity in scientific computing. However, when using multiple GPUs concurrently, the conventional data parallel GPU...
Abstract. The workshop on job scheduling strategies for parallel processing (JSSPP) studies the myriad aspects of managing resources on parallel and distributed computers. These st...
Web application workloads are often characterized by a large number of unique read requests and a significant fraction of write requests. Hosting these applications drives the ne...