Performance Analysis of Higher Order Tensor Storages for Highly Sparse Multidimensional Data
Author:
Affiliation:
1. Khulna University of Engineering & Technology (KUET),Department of Computer Science and Engineering,Khulna,Bangladesh
2. University of Fukui,Faculty of System Design Engineering,Fukui,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9733402/9733430/09733498.pdf?arnumber=9733498
Reference22 articles.
1. Improving performance of sparse matrix-vector multiplication
2. Detecting doubly compressed jpeg images by using mode based first digit features;li;2008 IEEE 10th Workshop on Multimedia Signal Processing,2008
3. Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks
4. An efficient fill estimation algorithm for sparse matrices and tensors in blocked formats;ahrens,2017
5. Efficient storage scheme for n-dimensional sparse array: GCRS/GCCS
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