Interconnection networks for large-scale parallel processing: theory and case studies (2nd ed.)
Interconnection networks for large-scale parallel processing: theory and case studies (2nd ed.)
Highly parallel computing (2nd ed.)
Highly parallel computing (2nd ed.)
CCL: A Portable and Tunable Collective Communication Library for Scalable Parallel Computers
IEEE Transactions on Parallel and Distributed Systems
Towards an active network architecture
ACM SIGCOMM Computer Communication Review
IEEE Transactions on Parallel and Distributed Systems
MPI: The Complete Reference
SPDP '96 Proceedings of the 8th IEEE Symposium on Parallel and Distributed Processing (SPDP '96)
The NYU Ultracomputer Designing an MIMD Shared Memory Parallel Computer
IEEE Transactions on Computers
Sorting networks and their applications
AFIPS '68 (Spring) Proceedings of the April 30--May 2, 1968, spring joint computer conference
A survey of active network research
IEEE Communications Magazine
ClusterNet: An Object-Oriented Cluster Network
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Implications of application usage characteristics for collective communication offload
International Journal of High Performance Computing and Networking
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Parallel processing networks, even full crossbars, that only implement point-to-point and multicast message passing are inefficient for collective communications because multiple messages must be transmitted to/from each processor to implement a single collective operation. However, all of the information needed for a collective communication can be made available to the network control logic within a single communication. By making this control logic capable of executing functions on the information aggregated from all of the processors, any collective communication can be implemented without additional messages or processor involvement. Networks with such logic are called aggregate networks and are capable of performing routing, computation, and storage/retrieval of global information. This paper gives a detailed example of each of these types of aggregate functions.