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Automated empirical optimizations of software and the ATLAS project
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“Thus, building a static auto-tuning library in the spirit of ATLAS [25] or OSKI [24] to implement the many different stencil kernels is infeasible.”
From An auto-tuning framework for parallel multicore stencil computations (2010) · cites this paper as [25]
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Metadata
- Authors
- Clint Whaley, R., Petitet, A., & Dongarra, J. J.
- Affiliations
- University of Tennessee at Knoxville (US)
- Corresponding author
- Dongarra, Jack J.
- ORCID
- Dongarra, Jack J.
- Venue
- Parallel Computing
- Publisher
- Elsevier BV
- Published
- 2001-01
- Volume
- 27
- Issue
- 1-2
- Pages
- 3-35
- ISSN
- 0167-8191 (ISSN-L)
- OpenAlex
- W1964031104
- Cited by
- 1,317
- References
- 25
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 9 · 2023: 25 · 2022: 19 · 2021: 25 · 2020: 39 · 2019: 22 · 2018: 37 · 2017: 37 · 2016: 57 · 2015: 40 · 2014: 78 · 2013: 88 · 2012: 101
- FWCI
- 66.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Parallel Computing (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Matrix Theory and Algorithms
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Numerical Methods and Algorithms
- Keywords
- ATLAS project, BLAS, linear algebra software, software maintenance, Moore's law
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