Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6874331 | Journal of Computational Science | 2018 | 16 Pages |
Abstract
Motivated by the need to emulate workload execution characteristics on high-performance and distributed heterogeneous resources, we introduce Synapse. Synapse is used as a proxy application (or “representative application”) for real workloads, with the advantage that it can be tuned in different ways and dimensions, and also at levels of granularity that are not possible with real applications. Synapse has a platform-independent application profiler, and has the ability to emulate profiled workloads on a variety of resources. Experiments show that the automated profiling performed using Synapse captures an application's characteristics with high fidelity. The emulation of an application using Synapse can reproduce the application's execution behavior in the original runtime environment, and can also reproduce those behaviors on different run-time environments.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Andre Merzky, Ming Tai Ha, Matteo Turilli, Shantenu Jha,