Parallel Programming on a CPU with AVX-512

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SUMMARY

This discussion focuses on parallel programming techniques using AVX-512 on x64 processors from Intel® and AMD®. It contrasts SIMD (Single Instruction Multiple Data) programming with SIMT (Single Instruction Multiple Thread) programming utilized in NVIDIA® GPUs. The article demonstrates how both approaches can be employed to solve the same problem of finding the best-fitting regression line for a set of points. The insights provided are essential for understanding the performance implications of different parallel programming paradigms.

PREREQUISITES
  • Understanding of SIMD programming concepts and AVX-512 architecture
  • Familiarity with x64 processor architecture from Intel® and AMD®
  • Basic knowledge of regression analysis and fitting techniques
  • Experience with parallel programming paradigms
NEXT STEPS
  • Research AVX-512 optimization techniques for performance enhancement
  • Explore SIMD programming examples in C++ or assembly language
  • Learn about regression analysis algorithms and their implementations
  • Investigate the differences between SIMD and SIMT programming models
USEFUL FOR

Software developers, data scientists, and performance engineers interested in optimizing computational tasks using parallel programming techniques on x64 architectures.

Mark44
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This article is the second of a two-part series that presents two distinctly different approaches to parallel programming. In the two articles, I use different approaches to solve the same problem: finding the best-fitting line (or regression line) for a set of points.
The two different approaches to parallel programming presented in this and the preceding Insights article (Parallel Programming on an NVIDIA GPU | Physics Forums) use these technologies.

Single-instruction multiple-thread (SIMT) programming is provided on the Nvidia® family of graphics processing units (GPUs). In SIMT programming, a single instruction is executed simultaneously on hundreds of microprocessors on a graphics card.
Single-instruction multiple data (SIMD) as provided on x64 processors from Intel® and AMD® (this article). In SIMD programming, a single instruction operates on wide registers that can contain vectors...

Continue reading...
 
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That's an interesting, and surprising, result. Most people seem to have assumed the opposite. Thank you for this work!
 
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