Abstract
With the advent of heterogeneous computing systems con- sisting of multi-core CPUs and many-core GPUs, robust methods are needed to facilitate fair benchmark compar- isons between different systems. In this paper we present a benchmarking methodology for measuring a number of per- formance metrics for heterogeneous systems. Methods for comparing performance and energy efficiency are included. Consideration is given to further metrics, such as associ- ated runnings costs and even carbon emissions. We give a case study for these metrics applied to BUDE, a molecular mechanics-based docking application that has been ported to OpenCL at the University of Bristol.
| Translated title of the contribution | Energy-aware metrics for benchmarking heterogeneous systems |
|---|---|
| Original language | English |
| Title of host publication | ACM SIGMETRICS 1st International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS 10) |
| Publication status | Published - 15 Nov 2010 |
Bibliographical note
Name and Venue of Event: ACM / IEEE Supercomputing 2010 (SC10), New Orleans, November 13-19, 2010Conference Organiser: ACM / IEEE
Access to Document
Handle.net
Fingerprint
Dive into the research topics of 'Energy-aware metrics for benchmarking heterogeneous systems'. Together they form a unique fingerprint.Equipment
-
HPC (High Performance Computing) and HTC (High Throughput Computing) Facilities
Alam, S. R. (Manager), Williams, D. A. G. (Manager), Eccleston, P. E. (Manager) & Greene, D. (Manager)
Facility/equipment: Facility