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- Michael W. Berry, Zlatko Drmac, Elizabeth R. Jessup
- SIAM Review
- 1999

The evolution of digital libraries and the Internet has dramatically transformed the processing, storage, and retrieval of information. Efforts to digitize text, images, video, and audio now consume… (More)

- Geoffrey Belter, Elizabeth R. Jessup, Ian Karlin, Jeremy G. Siek
- Proceedings of the Conference on High Performance…
- 2009

Memory bandwidth limits the performance of important kernels in many scientific applications. Such applications often use sequences of Basic Linear Algebra Subprograms (BLAS), and highly efficient… (More)

- Allison H. Baker, Elizabeth R. Jessup, Thomas A. Manteuffel
- SIAM J. Matrix Analysis Applications
- 2003

We have observed that the residual vectors at the end of each restart cycle of restarted GMRES often alternate direction in a cyclic fashion, thereby slowing convergence. We present a new technique… (More)

- Ilse C. F. Ipsen, Elizabeth R. Jessup
- SIAM J. Scientific Computing
- 1990

This paper describes implementations of Cuppen's method, bisection, and multisection for the computation of all eigenvalues and eigenvectors of a real symmetric tridiagonal matrix on a… (More)

- Jeremy G. Siek, Ian Karlin, Elizabeth R. Jessup
- IEEE International Symposium on Parallel and…
- 2008

The performance bottleneck for many scientific applications is the cost of memory access inside linear algebra kernels. Tuning such kernels for memory efficiency is a complex task that reduces the… (More)

- Bruce Hendrickson, Elizabeth R. Jessup, Christopher Smith
- SIAM J. Scientific Computing
- 1998

We describe a parallel algorithm for finding the eigenvalues and eigenvectors of a dense symmetric matrix, with an emphasis on the dense linear algebra operations. We follow the traditional… (More)

When solving a system of linear equations with the restarted GMRES method, a fixed restart parameter is typically chosen. We present numerical experiments that demonstrate the beneficial effects of… (More)

- Elizabeth R. Jessup, Dafeng Yang, Stavros A. Zenios
- SIAM Journal on Optimization
- 1994

Solving the deterministic equivalent formulation of two-stage stochastic programs using interior point algorithms requires the solution of linear systems of the form\[ \left( AD^2 A^\top \right) dy =… (More)

- Elizabeth R. Jessup, Ilse C. F. Ipsen
- SIAM J. Scientific Computing
- 1992

The EISPACK routine TINVIT is an implementation of inverse iteration for computing eigenvectors of real symmetric tridiagonal matrices. Experiments have shown that the eigenvectors computed with… (More)

- John M. Dennis, Elizabeth R. Jessup
- SIAM J. Scientific Computing
- 2006

In this paper, we describe automated memory analysis, a technique to improve the memory efficiency of a sparse linear iterative solver. Our automated memory analysis uses a language processor to… (More)