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Implications of application usage characteristics for collective communication offload.

Journal Article · · Proposed for publication in International Journal of High Performance Computing and Networks.
OSTI ID:961622
The global, synchronous nature of some collective operations implies that they will become the bottleneck when scaling to hundreds of thousands of nodes. One approach improves collective performance using a programmable network interface to directly implement collectives. While these implementations improve micro-benchmark performance, accelerating applications will require deeper understanding of application behavior. We describe several characteristics of applications that impact collective communication performance. We analyze network resource usage data to guide the design of collective offload engines and their associated programming interfaces. In particular, we provide an analysis of the potential benefit of non-blocking collective communication operations for MPI.
Research Organization:
Sandia National Laboratories
Sponsoring Organization:
USDOE
DOE Contract Number:
AC04-94AL85000
OSTI ID:
961622
Report Number(s):
SAND2004-4063J
Journal Information:
Proposed for publication in International Journal of High Performance Computing and Networks., Journal Name: Proposed for publication in International Journal of High Performance Computing and Networks. Journal Issue: 3-4 Vol. 4
Country of Publication:
United States
Language:
English