The Parallel Virtual Machine (PVM), an integrated framework for heterogeneous network computing, lets scientists exploit collections of networked machines when carrying out complex scienti câ€¦ (More)

This paper compares PVM and MPI features pointing out the situ ations where one may be favored over the other Application developers can determine where their application most likely will run and ifâ€¦ (More)

An algorithm for reducing a nonsymmetric matrix to tridiagonal form as a rst step toward nding its eigenvalues is described. The algorithm uses a variation of threshold pivoting, where at each step,â€¦ (More)

Cost-effective, flexible and efficient scientific simulations in cutting-edge research areas utilize huge high-end computing resources with thousands of processors. In the next five to ten years theâ€¦ (More)

T h e B R algorithm, a new method for calculating the eigenvalues of an upper Hessenberg matrix, is introduced. I t is a bulge-chasingalgorithm like the Q R algorithm, but , unlike the QR algorithm,â€¦ (More)

This paper explores the foundations and philosophy that have made PVM both eeective and widespread: a simple system abstraction and API, transparent heterogeneity, and dynamic system conngura-tion.â€¦ (More)

The growth in computing resources at scientific computing centers has created new challenges for system software. These multi-teraflop systems often exceed the capabilities of the system software andâ€¦ (More)

Distributed-memory algorithms for finding the eigenvalues and eigenvectors of a dense unsymmetric matrix are given. While several parallel algorithms have been developed for symmetric systems, littleâ€¦ (More)