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SPIKE algorithm

Known as: Spike 
The SPIKE algorithm is a hybrid parallel solver for banded linear systems developed by Eric Polizzi and Ahmed Sameh
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Related topics

Related topics

13 relations
Algebraic connectivityBiconjugate gradient stabilized methodDiagonally dominant matrixIterative method

Broader (1)

Numerical linear algebra

Papers overview

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2018
2018
A Feature Complete SPIKE Banded Algorithm and Solver
New features and enhancements for the SPIKE banded solver are presented. Among all the SPIKE algorithm versions, we focus our… 
2017
2017
Improving the Truncated Spike Algorithm via Neumann Series Approximations
Large memory overhead of LU decomposition during the factorization stage of the truncated SPIKE algorithm represents a common… 
2015
2015
A Spike Algorithm for Solving Tridiagonal Block Matrix Equations on a Multicore Machine
2015/1/9 2 We are developing a recursive direct-solver for linear equations with the coefficient matrix of a tridiagonal block… 
2015
2015
A Stable Parallel Algorithm for Diagonally Dominant Tridiagonal Linear Systems
In this work, we present a stable parallel algorithm based on WZ factorization for solving diagonally dominant tridiagonal linear… 
2014
2014
SPIKE::GPU A SPIKE-based preconditioned GPU Solver for Sparse Linear Systems
This contribution outlines an approach that draws on general purpose graphics processing unit (GPGPU) computing to solve large… 
2014
2014
A Hierarchical Tridiagonal System Solver for Heterogenous Supercomputers
Tridiagonal system solver is an important kernel in many scientific and engineering applications. Even though quite a few… 
2012
2012
Key-Frame Redundancy Transmitting Algorithm for Streaming Media Transmission
With the development of 3G technology and the widespread popularity of Wi-Fi coverage, mobile stream media technology plays a key… 
2011
2011
A Banded Spike Algorithm and Solver for Shared Memory Architectures
A BANDED SPIKE ALGORITHM AND SOLVER FOR SHARED MEMORY ARCHITECTURES 
2009
2009
Spike artifact reduction in nonconvex Compressed Sensing
Compressed sensing (CS), a reconstruction method for undersampled MR data, was recently introduced [1]. Since only undersampled… 
Highly Cited
1980
Highly Cited
1980
MINOS/AUGMENTED User's Manual.
Abstract : The scope of this manual is restricted to matters additional to those covered in the MINOS User's Guide (2). We assume… 
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