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Bradley C. Kusxmaul

dblp:90/5758 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Interconnection networks and networks-on-chip · 50% Electronic design automation · 25% Storage systems · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
buffer management
0.011990
Fast, Deterministic Routing, on Hypercubes, Using Small Buffers · IEEE Trans. Computers 1990
Interconnection networks and networks-on-chip › routing algorithms
deterministic routing
0.011990
Fast, Deterministic Routing, on Hypercubes, Using Small Buffers · IEEE Trans. Computers 1990
Interconnection networks and networks-on-chip › routing algorithms › interconnection routing
hypercube routing
0.011990
Fast, Deterministic Routing, on Hypercubes, Using Small Buffers · IEEE Trans. Computers 1990
Electronic design automation › physical design
routing
0.011990
Fast, Deterministic Routing, on Hypercubes, Using Small Buffers · IEEE Trans. Computers 1990
YearPublicationVenuePosition
1990 Fast, Deterministic Routing, on Hypercubes, Using Small Buffers
abstract
A deterministic routing scheme for a communications network based on the k-dimensional hypercube is proposed. The author presents two formulations of the scheme. The first formulation delivers messages in O(k/sup 2/) bit times using O(K) bits of buffer space at each node in the hypercube. The second formulation assumes that there are several batches of messages to be delivered, and makes certain assumptions about the cost of sending messages along the various dimensions of the cube. In this case, the latency for delivery time is still O(k/sup 2/) bit times, but the throughput is increased to one set of messages every O(k) bit times. For the first formulation, the author restricts himself to routings which are subsets of permutations (i.e. every node sends at most one message and receives at most one message). The second formulation indicates a way to perform routings which are subsets of H-permutations (i.e. every node sends at most H messages and receives at most H messages).>
Bradley C. Kusxmaul
IEEE Trans. Computers1