An \industrial strength" algorithm for solving sparse symmetric generalized eigen-problems is described. The algorithm has its foundations in known techniques in solving sparse symmetric eigenproblems, notably the spectral transformation of Ericsson and Ruhe and the block Lanczos algorithm. However, the combination of these two techniques is not trivial;… (More)
We describe the Harwell-Boeing sparse matrix collection, a set of standard test matrices for sparse matrix problems. Our test set comprises problems in linear systems, least squares, and eigenvalue calculations from a wide variety of scientific and engineering disciplines. The problems range from small matrices, used as counter-examples to hypotheses in… (More)
We describe the complete set of matrices in the Harwell-Boeing sparse matrix collection, a set of standard test matrices for sparse matrix problems. This description includes some documentation for each matrix (or set of matrices) in the collection. We also describe how a copy of the collection may be obtained.
The critical bottlenecks in the implementation of the conjugate gradient algorithm on distributed memory computers are the communication requirements of the sparse matrix-vector multiply and of the vector recurrences. We describe the data distribution and communication patterns of jive general implementations, whose realizations demonstrate that the cost of… (More)
This paper describes an extension to the set of Basic Linear Algebra Subprograms. The extension is targeted at sparse vector operations, with the goal of providing efficient, but portable, implementations of algorithms for high-performance computers.
Stress tolerance of Saccharomyces cerevisiae was examined after exposure to heat and salt shock in the presence or absence of the protein synthesis inhibitor cycloheximide. Cells heat-shocked (37 degrees C for 45 min) in the absence of cycloheximide demonstrated increased tolerance of heat, freezing and salt stress. For cells heat-shocked in the presence of… (More)
This paper desribes a model implementation and test software for the Sparse Basic Linear Algebra Subprograms (Sparse BLAS). The Sparse BLAS perform vector operations common in sparse linear algebra, with the goal of providing efficient, but portable, implementations of algorithms for high performance computers. The model implementation provides a portable… (More)
BACKGROUND Glucocorticoid replacement is essential in patients with primary and secondary adrenal insufficiency, but many patients remain on higher than recommended dose regimens. There is no uniformly accepted method to monitor the dose in individual patients. We have compared cortisol concentrations in plasma, saliva and urine achieved following… (More)
Phosphorothioate oligodeoxynucleotides containing the C-5 propyne analogs of uridine and cytidine bind RNA with high affinity and are potent antisense inhibitors of gene expression. In a cellular assay, gene-specific antisense inhibition occurred at nanomolar concentrations of oligonucleotide, was dose-dependent and exquisitely sensitive to sequence… (More)