Accelerating BLAS and LAPACK via efficient floating point architecture design

Accelerating BLAS and LAPACK via efficient floating point architecture design

Basic Linear Algebra Subprograms (BLAS) and Linear Algebra Package (LAPACK) form basic building blocks for several High Performance Computing (HPC) applications and hence dictate performance of the HPC applications. Performance in such tuned packages is attained through tuning of several algorithmic...

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Bibliographic Details
Main Authors: Merchant, Farhad, Chattopadhyay, Anupam, Raha, Soumyendu, Nandy, S. K., Narayan, Ranjani
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Parallel Computing
Instruction Level Parallelism
Online Access:https://hdl.handle.net/10356/141525
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/141525

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