Proceedings 16th Annual International Symposium on High Performance Computing Systems and Applications
DOI: 10.1109/hpcsa.2002.1019136
|View full text |Cite
|
Sign up to set email alerts
|

Efficient all-to-all broadcast schemes in distributed-memory parallel computers

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 7 publications
0
3
0
Order By: Relevance
“…Many all-to-all broadcast algorithms were designed for specific network topologies that are used in parallel machines, including hypercube (3,4) , mesh (5)(6)(7) , torus (7) , k-ary n-cube (4) , fat tree (8) , and star (9) . Work in (10) optimizes MPI collective communications, including MP I All gather, on wide area networks.…”
Section: Related Workmentioning
confidence: 99%
“…Many all-to-all broadcast algorithms were designed for specific network topologies that are used in parallel machines, including hypercube (3,4) , mesh (5)(6)(7) , torus (7) , k-ary n-cube (4) , fat tree (8) , and star (9) . Work in (10) optimizes MPI collective communications, including MP I All gather, on wide area networks.…”
Section: Related Workmentioning
confidence: 99%
“…Reflective memory network is mainly reflected by the memory board via a transmission medium for the optical fiber to other nodes and can be inserted in a variety of bus on the motherboard, such as VME, PCI and PXI [10],etc. 2.Broadcast memory Real-Time Network [11]. Each node forms a physical star topology network through the central HUB.…”
Section: Introductionmentioning
confidence: 99%
“…Many all-to-all broadcast algorithms were designed for specific network topologies that are used in parallel machines, including hypercube [8,20], mesh [15,18,21], torus [21], k-ary n-cube [20], fat tree [10], and star [14]. Work in [9] optimizes MPI collective communications, including M P I Allgather, on wide area networks.…”
Section: Related Workmentioning
confidence: 99%