Self-Adapting Linear Algebra Algorithms and Software
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- Type
- article
- Published
- 2005-06-27
- Cited by
- 239
- References
- 78
- Access
- Open access
- OpenAlex
- https://openalex.org/W2148542244
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3065125
Keywords
Linear algebra, Computer science, Solver, Software, Selection (genetic algorithm)
References
- Automatic Performance Tuning and Analysis of Sparse Triangular Solve
- An object oriented design for high performance linear algebra on distributed memory architectures
- A proposal for standard linear algebra subprograms
- Multigrid equation solvers for large-scale nonlinear finite element simulations
- The High Performance Fortran Handbook
- Structure Prediction and Computation of Sparse Matrix Products
- The Fastest Fourier Transform in the West
- Optimizing the Performance of Sparse Matrix-Vector Multiplication
- Applied Numerical Linear Algebra
- Performance Modeling and Analysis of Cache Blocking in Sparse Matrix Vector Multiply
- Cache Optimization for Structured and Unstructured Grid Multigrid
- Adaptive use of iterative methods in interior point methods for linear programming
- On improving the performance of sparse matrix-vector multiplication
- Improving the efficiency of portable software for linear algebra
- Authoritative sources in a hyperlinked environment
- Basic Linear Algebra Subprograms for Fortran Usage
- State of the art in scientific computing
- A general parallel sparse-blocked matrix multiply for linear scaling SCF theory
- Towards a fast parallel sparse matrix-vector multiplication
- A set of level 3 basic linear algebra subprograms
Cited by
- GPU Accelerated Parallel Iris Segmentation
- Performance Portable Tracking of Evolving Surfaces
- Auto-Optimization of Linear Algebra Parallel Routines: The Cholesky Factorization
- Adaptive Discontinuous Galerkin Finite Element Methods
- Programmation des systèmes parallèles distribués : tolérance aux pannes, résilience et adaptabilité. (Parallel and distributed systems programming: Fault-Tolerance, resilience and adaptability)
- An Optimized ZGEMM Implementation for the Cell BE
- Field-Programmable Gate Array (FPGA) Emulation for Computer Architecture
- Accelerating Dense Linear Algebra for GPUs, Multicores and Hybrid Architectures: an Autotuned and Algorithmic Approach
- Future Directions in Tensor-Based Computation and Modeling
- GPU Accelerated Cardiac Electrophysiology
- Predicting and Optimizing System Utilization and Performance via Statistical Machine Learning
- Tuning Hardware and Software for Multiprocessors
- Library generation for linear transforms
- Technique detection software for Sparse Matrices
- ASlib: A benchmark library for algorithm selection
- Science Driven Supercomputing Architectures: AnalyzingArchitectural Bottlenecks with Applications and Benchmark Probes
- Optimizing Communication for Massively Parallel Processing
- Generating Optimized Fourier Interpolation Routines for Density Functional Theory Using SPIRAL
- Parameterizing loop fusion for automated empirical tuning
- Constraint-aware computational adaptation framework to support realtime multimedia applications
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