Name
Abstract | ||
|---|---|---|
Scientific codes spend a considerable part of their run time executing collective communication operations. Such operations can also be critical for efficient resource management in large-scale machines. Therefore, scalable collective communication is a key factor to achieve good performance in large-scale parallel computers.In this paper we describe the performance and scalability of some common collective communication patterns on the ASCI Q machine. Experimental results conducted on a 1024-node/4096-processor-segment show that the network is fast and scalable. The network is able to barrier-synchronize in a few tens of mus, perform a broadcast with an aggregate bandwidth of more than 100 GB/s and sustain heavy hot-spot traffic with a limited performance degradation. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/CONECT.2003.1231478 | HOT INTERCONNECTS 11 |
Keywords | Field | DocType |
hot spot,parallel computer,synchronisation,network topology | Resource management,Broadcasting,Synchronization,Computer science,Parallel computing,Computer network,Collective communication,Network topology,Bandwidth (signal processing),Distributed computing,Scalability | Conference |
Citations | PageRank | References |
15 | 0.96 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabrizio Petrini | 1 | 2050 | 165.82 |
| Juan Fernandez | 2 | 269 | 23.17 |
| Eitan Frachtenberg | 3 | 1060 | 85.08 |
| Salvador Coll | 4 | 609 | 57.12 |