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Elaine M. Jacobson

dblp:06/4639 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

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

Systems, architecture and hardware · 3

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
2 papers
High-performance computing · 62% Interconnection networks and networks-on-chip · 31% Performance modeling and evaluation · 6%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › numerical linear algebra
dense linear algebra
0.011996
Implementation of Strassen's Algorithm for Matrix Multiplication · SC 1996
High-performance computing › numerical linear algebra
matrix multiplication
0.011996
Implementation of Strassen's Algorithm for Matrix Multiplication · SC 1996
High-performance computing › numerical linear algebra
strassen's algorithm
0.011996
Implementation of Strassen's Algorithm for Matrix Multiplication · SC 1996
Interconnection networks and networks-on-chip › network topology › low-diameter topology
de bruijn network
0.011991
Universal multistage networks via linear permutations · SC 1991
Interconnection networks and networks-on-chip › switching network
multistage interconnection network
0.011991
Universal multistage networks via linear permutations · SC 1991
Interconnection networks and networks-on-chip
network topology
0.011991
Universal multistage networks via linear permutations · SC 1991

Methods — techniques the papers use, named apart from their topics

shuffle-exchange generalization · 0.0linear operator analysis · 0.0
YearPublicationVenuePosition
1996 Implementation of Strassen's Algorithm for Matrix Multiplication
abstract
In this paper we report on the development of an efficient and portable implementation of Strassen's matrix multiplication algorithm for matrices of arbitrary size. Our technique for defining the criterion which stops the recursions is more detailed than those generally used, thus allowing enhanced performance for a larger set of input sizes. In addition, we deal with odd matrix dimensions using a method whose usefulness had previously been in question and had not so far been demonstrated. Our memory requirements have also been reduced, in certain cases by 40 to more than 70 percent over other similar implementations. We measure performance of our code on the IBM RS/6000, CRAY YMP C90, and CRAY T3D single processor, and offer comparisons to other codes. Finally, we demonstrate the usefulness of our implementation by using it to perform the matrix multiplications in a large application code.
Steven Huss-Lederman, Elaine M. Jacobson, J. R. Johnson, Anna Tsao, Thomas Turnbull
SC2
1994 Matrix multiplication on the Intel Touchstone Delta
abstract
Abstract Matrix multiplication is a key primitive in block matrix algorithms such as those found in LAPACK. We present results from our study of matrix multiplication algorithms on the Intel Touchstone Delta, a distributed memory message‐passing architecture with a two‐dimensional mesh topology. We analyze and compare three algorithms and obtain an implementation, BiMMeR, that uses communication primitives highly suited to the Delta and exploits the single node assembly‐coded matrix multiplication. Our algorithm is completely general, i.e. able to deal with various data layouts as well as arbitrary mesh aspect ratios and matrix dimensions, and has achieved parallel efficiency of 86 %, with overall peak performance in excess of 8 Gflops on 256 nodes for an 8800 × 8800 matrix. We describe BiMMeR's design and implementation and present performance results that demonstrate scalability and robust behavior over varying mesh topologies.
Steven Huss-Lederman, Elaine M. Jacobson, Anna Tsao
Concurr. Pract. Exp.2
1991 Universal multistage networks via linear permutations
abstract
The universality of iterated multistage interconnection networks on N = Y inputs is examined by representing them as directed 2-graphs on N/2 nodes.The shuj?e-exchange network is generalized, by allowing any invertible linear operator T, over GF(2), to replace the perfect shujle and any nonzero translation v H v + Q to replace the exchange operation.It is shown that a pair (T, a] gives rise to a universal network if and only if the vectors a, Ta, T2CY, . . . .Tn-la are linearly independent, and that the 2-graph for any such pair is isomorphic to the de Brui'n graph.Thus, a pair (T, a) is either useless, because its network is not connected, or as good as the shujj?e-exchange network.This provides a wide range of design alternatives for networks that can pass all N! permutations with 2n-1 identical stages.
Charles M. Feduccia, Elaine M. Jacobson
SC2