EDBT 2026 Demo / reviewers in the wild / expert
Bradley C. Kusxmaul
dblp:90/5758
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems
buffer management |
0.0 | 1 | 1990 | Fast, Deterministic Routing, on Hypercubes, Using Small Buffers · IEEE Trans. Computers 1990 |
Interconnection networks and networks-on-chip › routing algorithms
deterministic routing |
0.0 | 1 | 1990 | Fast, Deterministic Routing, on Hypercubes, Using Small Buffers · IEEE Trans. Computers 1990 |
Interconnection networks and networks-on-chip › routing algorithms › interconnection routing
hypercube routing |
0.0 | 1 | 1990 | Fast, Deterministic Routing, on Hypercubes, Using Small Buffers · IEEE Trans. Computers 1990 |
Electronic design automation › physical design
routing |
0.0 | 1 | 1990 | Fast, Deterministic Routing, on Hypercubes, Using Small Buffers · IEEE Trans. Computers 1990 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Fast, Deterministic Routing, on Hypercubes, Using Small BuffersabstractA 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. Computers | 1 |