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61 592 (0,196s)

Result

Generator of random large sparse matrices with given properties

This work describes the design and implementation of a sparse matrix generator. One of the goals was to provide a simple user interface and many possible settings of matrix parameters, including the generation of various types of matrice...

JC - Počítačový hardware a software

  • 2010
  • R
  • Link
Result

Large-Scale Visualization of Sparse Matrices

the proposed algorithm, one can thus visualize large sparse matrices with a minimal runtimeAn efficient algorithm for parallel acquisition of visualization data for large sparse matrices is prese...

IN - Informatika

  • 2014
  • Jx
  • Link
Result

Space-efficient sparse matrix storage formats with 8-bit indices

The paper is aimed at space-efficient storage formats for very large sparse matrices (VLSMs). By VLSMs, we mean matrices that because of their size must be stored and processed by massively parallel computer system...

IN - Informatika

  • 2012
  • D
Result

Parallel Data Acquisition for Visualization of Very Large Sparse Matrices

The problem of visualization of very large sparse matrices emerging on massively parallel computer systems is identified and a new method along with an accompanying algorithm for parallel acquisition of visualization data f...

IN - Informatika

  • 2014
  • D
  • Link
Result

Sparse binary matrices

in computers grows very rapidly, there are still matrices that are bigger than available memory. But many of these matrices are sparse, so that storage only non-zero values can solve the problem. Special case of sparse...

IN - Informatika

  • 2005
  • D
Result

Algorithm for Elimination of Systems with Sparse Asymmetric Reducible Matrices.

In the paper, an algorithm for finding an optimal or almost optimal permutation for an ordering of elements of a matrix, which is sparse, asymmetric and reducible, is suggested. Using this algorithm we can solve large sparse

BA - Obecná matematika

  • 2012
  • Jx
Result

Scalable Parallel Generation of Very Large Sparse Benchmark Matrices

generation of sparse matrices intended primarily for benchmarking purposes, namely that involvesparse matrices. The proposed method is based on enlargement of small input matrices, which are supposed to be obtaine...

IN - Informatika

  • 2014
  • D
  • Link
Result

A pathfollowing technique for the analytic singular value decomposition

The aim is to compute ASVD for large sparse matrices. In particular we consider branches of selected singular values and the corresponding left/right singular vectors. We apply a predictor-corrector algorithm with an adapti...

BA - Obecná matematika

  • 2005
  • O
Result

Space Efficient Formats for Structure of Sparse Matrices Based on Tree Structures

Very large sparse matrices are often processed on massively parallel computer systems with distributed memory architectures consisting of tens or hundreds these matrices from/to a distributed file system. This pape...

IN - Informatika

  • 2014
  • D
  • Link
Result

Downsampling Algorithms for Large Sparse Matrices

Mapping of sparse matrices to processors of a parallel system may have a significant impact on the development of sparse-matrix algorithms and, in effect, to their efficiency. We present and empirically compare two downsamp...

IN - Informatika

  • 2015
  • Jx
  • Link
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