Titlebook: High Performance Computational Science and Engineering; IFIP TC5 Workshop on Michael K. Ng,Andrei Doncescu,Tau Leng Conference proceedings

啜泣

CURT

A Sparse Distributed Memory Capable of Handling Small Cues, SDMSCueing small cues. SDM is a content-addressable memory technique that relies on similar memory items tending to be clustered together in the same region or subspace of the semantic space. SDM has been used before as associative memory or control structure for software agents. In this context, small cue

狂怒

Towards a Realistic Performance Model for Networks of Heterogeneous Computerscomputers. Unlike traditional models, it is aimed at parallel computing on common networks of computers and distributed computing on global networks. It takes into account the effect of paging and differences in the level of integration into the network of computers, with the inevitable fluctuation

陪審團(tuán)每個(gè)人

Range-Of-Motion

Rendering Complex Scenes on Clusters with Limited Precomputation architecture. On a single computer, the size of the used dataset generates an out of core computation. Cluster architectures designed with off-the-shelf components offer extended capacities which allow to keep the large dataset inside the aggregated main memories. Then, to achieve scalability of op

欄桿

容易做

Pinpointing the Real Zeros of Analytic Functions. The distinguishing feature of the algorithm is its ability to handle only zeros the analyst is interested in and to work with sufficient accuracy in cases where the number of zeros is extremely large. In the course of our discussion, we introduce two novel concepts: sweeping functions and size of

犬儒主義者

Reducing Overhead in Sparse Hypermatrix Cholesky Factorizationre dealing with sparse matrices some zeros can be stored in those dense blocks. The overhead introduced by the operations on zeros can become really large and considerably degrade performance. In this paper, we present several techniques for reducing the operations on zeros in a sparse hypermatrix C

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