A Conversation with John Hennessy and David Patterson: They wrote the book on computing.
Open accessAbstract
As authors of the seminal textbook, ’Computer Architecture: A Quantitative Approach’, John Hennessy and David Patterson probably don’t need an introduction. You’ve probably read them in college or, if you were lucky enough, even attended one of their classes. Since rethinking, and then rewriting, the way computer architecture is taught, both have remained committed to educating a new generation of engineers with the skills to tackle today’s tough problems in computer architecture, Patterson as a professor at Berkeley and Hennessy as a professor, dean, and now president of Stanford University.
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Autotuners have become popular for producing high-quality, portable scientific code for serial microprocessors by generating many variants of a kernel and measuring each variant on the target platform.
“In recent years, autotuners have become popular for producing highquality, portable scientific code for serial microprocessors, 10 optimizing a set of library kernels by generating many variants of a kernel and measuring each variant by running on the target platform.”
From A view of the parallel computing landscape (2009) · cites this paper as [10]
The DAVID PATTERSON passages (page unavailable) discuss microprocessor architecture, parallel programming, and performance evaluation, but not autotuners. Searches for kernel variants, target-platform measurement, and portable scientific code found no passage addressing the claim. (LLM, conf=0.73)
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A view of the parallel computing landscape
Asanovic, K., Bodik, R., Demmel, J., Keaveny, T., Keutzer, K., Kubiatowicz, J., Morgan, N., Patterson, D., Sen, K., Wawrzynek, J., et al. (2009) · Communications of the ACM · doi:10.1145/1562764.1562783 · Cited by 627 · see citing works
- Authors
- O'Hanlon, C.
- Affiliations
- ACM Queue
- Corresponding author
- O'Hanlon, Charlene
- Venue
- Queue
- Published
- 2006-12
- Volume
- 4
- Issue
- 10
- Pages
- 14-22
- ISSN
- 1542-7730 (ISSN-L)
- 1542-7749
- OpenAlex
- W2063909201
- Cited by
- 39
- References
- 0
- Citations by year
- 2021: 1 · 2019: 2 · 2017: 2 · 2016: 1 · 2015: 2 · 2014: 1 · 2013: 3 · 2012: 5
- FWCI
- 162.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Queue (publishedVersion)
- Topics
- Physical Sciences › Engineering › Architecture › Engineering Education and Pedagogy
- Physical Sciences › Engineering › Media Technology › Engineering Education and Curriculum Development
- Physical Sciences › Computer Science › Hardware and Architecture › Parallel Computing and Optimization Techniques
- Keywords
- computer architecture education, engineering education, Stanford University, University of California, Berkeley
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