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A Comprehensive Study of Task Coalescing for Selecting Parallelism Granularity in a Two-Stage Bidiagonal Reduction
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Scheduling dense linear algebra operations on multicore processors
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StarPU: a unified platform for task scheduling on heterogeneous multicore architectures
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Cilk: An Efficient Multithreaded Runtime System
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Meromorphic Functions: Progress and Problems
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Singular value decomposition and least squares solutions
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Profiling high performance dense linear algebra algorithms on multicore architectures for power and energy efficiency
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Blocked algorithms for the reduction to Hessenberg-triangular form revisited
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Parallel two-stage reduction to Hessenberg form using dynamic scheduling on shared-memory architectures
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Efficient eigenvalue and singular value computations on shared memory machines
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PVM-Parallel Virtual Machine: AUsers' Guide and Tutorial for Networked Parallel Computing
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Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects
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The decompositional approach to matrix computation
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Two-Stage Tridiagonal Reduction for Dense Symmetric Matrices Using Tile Algorithms on Multicore Architectures
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The Design and Implementation of FFTW3
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PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
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Parallel Two-Sided Matrix Reduction to Band Bidiagonal Form on Multicore Architectures
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A Storage-Efficient $WY$ Representation for Products of Householder Transformations
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Comparative study of one-sided factorizations with multiple software packages on multi-core hardware
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Parallel reduction to condensed forms for symmetric eigenvalue problems using aggregated fine-grained and memory-aware kernels
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High-performance bidiagonal reduction using tile algorithms on homogeneous multicore architectures
inferredcites →https://doi.org/10.1145/320941.320947openalex-snapshot
Unitary Triangularization of a Nonsymmetric Matrix
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A Bridging Model for Parallel Computation
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Solution of large, dense symmetric generalized eigenvalue problems using secondary storage
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Design and Implementation of the ScaLAPACK LU, QR, and Cholesky Factorization Routines
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A Portable Programming Interface for Performance Evaluation on Modern Processors
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Intel Threading Building Blocks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Performance evaluation of kernel fusion BLAS routines on the GPU: iterative solvers as case study
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Accelerating the SVD two stage bidiagonal reduction and divide and conquer using GPUs
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Linear algebra software for large-scale accelerated multicore computing
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Bidiagonalization and R-Bidiagonalization: Parallel Tiled Algorithms, Critical Paths and Distributed-Memory Implementation
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New Algorithm for Computing Eigenvectors of the Symmetric Eigenvalue Problem
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Bidiagonalization with Parallel Tiled Algorithms
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