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Matrix representation
Speeding up Spmv for Power-Law Graph Analytics by Enhancing Locality & Vectorization
Sparse-Matrix Representation of Spiking Neural P Systems for Gpus
A Framework for Efficient Execution of Matrix Computations
Automatic Selection of Sparse Matrix Representation on Gpus
Tridiagonalization of an Arbitrary Square Matrix William Lee Waltmann Iowa State University
REPRESENTATIONS of FINITE GROUPS Contents 1. Introduction 1
A Matrix-Based Approach to Global Locality Optimization
Data-Parallel Language for Correct and Efficient Sparse Matrix Codes
Scientific Software Libraries for Scalable Architectures
Complex Conjugation of Group Representations by Inner Automorphlsms
Optimization of GPU-Based Sparse Matrix Multiplication for Large Sparse Networks
Introduction to Programming with Arrays Using ELI
Sparse Matrix-Vector Multiplication on Gpgpus
Sparse and Dense Matrix Classes and Methods
Chapter 6. Unitary Matrices
A RISC Multiprocessor for Matrix Applications
The Use of Matrix Methods in the Modeling of Spectroscopic Data Sets
Tridiagonal Normal Forms for Orthogonal Similarity Classes of Symmetric Matricesୋ Dragomir Ž
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