Accelerating BLAS and LAPACK via efficient floating point architecture design

• Main Authors: Merchant, Farhad, Chattopadhyay, Anupam, Raha, Soumyendu, Nandy, S. K., Narayan, Ranjani
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Computer science and engineering; Parallel Computing; Instruction Level Parallelism
• 在線閱讀: https://hdl.handle.net/10356/141525

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...