Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

   

Technical Reports - James Demmel

The Parallel Computing Laboratory at U.C. Berkeley: A Research Agenda Based on the Berkeley View (EECS-2008-23)
Krste Asanovic, Ras Bodik, James Demmel, Tony Keaveny, Kurt Keutzer, John D. Kubiatowicz, Edward A. Lee, Nelson Morgan, George Necula, David A. Patterson, Koushik Sen, John Wawrzynek, David Wessel and Katherine A. Yelick

Using GPUs to Accelerate the Bisection Algorithm for Finding Eigenvalues of Symmetric Tridiagonal Matrices (EECS-2007-179)
Vasily Volkov and James Demmel

Avoiding Communication in Computing Krylov Subspaces (EECS-2007-123)
James Demmel, Mark Frederick Hoemmen, Marghoob Mohiyuddin and Katherine A. Yelick

Extra-precise Iterative Refinement for Overdetermined Least Squares Problems (EECS-2007-77)
James Demmel, Yozo Hida, Xiaoye Li and Edward Jason Riedy

Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks (EECS-2006-121)
Sukun Kim, Shamim Pakzad, David E. Culler, James Demmel, Gregory Fenves, Steve Glaser and Martin Turon

Continuation of Invariant Subspaces for Large Bifurcation Problems (EECS-2006-13)
David Samuel Bindel, James Demmel and Mark Friedman

Error Bounds from Extra Precise Iterative Refinement (CSD-04-1344)
James W. Demmel, Yozo Hida, William Kahan, Xiaoye S. Li, Soni Mukherjee and E. Jason Riedy

Performance Modeling and Analysis of Cache Blocking in Sparse Matrix Vector Multiply (CSD-04-1335)
Rajesh Nishtala, Richard W. Vuduc, James W. Demmel and Katherine A. Yelick

Performance Optimizations and Bounds for Sparse Symmetric Matrix-Multiple Vector Multiply (CSD-03-1297)
Benjamin C. Lee, Richard W. Vuduc, James W. Demmel, Katherine A. Yelick, Michael de Lorimier and Lijue Zhong

Memory Hierarchy Optimizations and Performance Bounds for Sparse A^T Ax (CSD-03-1232)
Richard Vuduc, Attila Gyulassy, James Demmel and Katherine A. Yelick

Accurate Floating Point Summation (CSD-02-1180)
James Demmel and Yozo Hida

SuperLU Users' Guide (CSD-97-944)
James W. Demmel, John Gilbert and Xiaoye S. Li

An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian Elimination (CSD-97-943)
James W. Demmel, John R. Gilbert and Xiaoye S. Li

Computing the Singular Value Decomposition with High Relative Accuracy (CSD-97-934)
James Demmel, Ming Gu, Stanley Eisenstat, Ivan Slapnicar, Kresimir Veselic and Zlatco Drmac

Modeling and Identifying Bottlenecks in the EOSDIS Architecture (CSD-97-957)
Sharon L. Smith, Melody Y. Ivory and James Demmel

A Supernodal Approach to Sparse Partial Pivoting (CSD-95-883)
James W. Demmel, Stanley C. Eisenstat, John R. Gilbert, Xiaoye S. Li and Joseph W.H. Liu

On the Correctness of Parallel Bisection in Floating Point (CSD-94-805)
James W. Demmel, Inderjit Dhillon and Huan Ren

Inverse Free Parallel Spectral Divide and Conquer Algorithms for Nonsymmetric Eigenproblems (CSD-94-793)
Zhaojun Bai, James W. Demmel and Ming Gu

Faster Numerical Algorithms via Exception Handling (CSD-93-728)
James W. Demmel and Xiaoye Li

Design of a Parallel Nonsymmetric Eigenroutine Toolbox, Part I (CSD-92-718)
Zhaojun Bai and James W. Demmel

Computing the Generalized Singular Value Decomposition (CSD-92-720)
Zhaojun Bai and James W. Demmel

Parallel Numerical Linear Algebra (CSD-92-703)
James W. Demmel, Michael T. Heath and Henk A. van der Vorst

Trading Off Parallelism and Numerical Stability (CSD-92-702)
James W. Demmel

The Dimension of Matrices (Matrix Pencils) with Given Jordan (Kronecker) Canonical Forms (CSD-92-706)
James W. Demmel and Alan Edelman

Algorithms for Intersecting Parametric and Algebraic Curves (CSD-92-698)
Dinesh Manocha and James W. Demmel

Computing the Generalized Singular Value Decomposition (CSD-91-645)
Zhaojun Bai and James W. Demmel

Improved Error Bounds for Underdetermined System Solvers (CSD-90-587)
James W. Demmel and Nicholas J. Higham

Stability of Block Algorithms with Fast Level 3 BLAS (CSD-90-584)
James W. Demmel and Nicholas J. Higham

Effects of Underflow on Solving Linear Systems (CSD-83-128)
James W. Demmel

The Condition Number of Similarities that Diagonalize Matrices (CSD-83-127)
James W. Demmel

An Interval Algorithm for Solving Systems of Linear Equations to Prespecified Accuracy (CSD-83-126)
James W. Demmel and Fritz Kruckeberg