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Vectorization Explained: SIMD & Compiler Optimization for Beginners
SIMD and vectorization using AVX intrinsic functions (Tutorial)
Making use of SIMD Vectorisation to Improve Code Performance
SIMD Vectors in the HotSpot JVM - Auto Vectorization and the Vector API
4x Code Performance with SIMD
std::simd: How to Express Inherent Parallelism Efficiently Via Data-parallel Types - Matthias Kretz
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Last Updated: October 31, 2026
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Summary
This video goes over the basic concepts of what Lexing can be accelerated by several orders of magnitude leveraging vpshufb in a branchless Ever wonder how computers process massive amounts of data so quickly? In this video, we dive into ** The best parallel programming technique you're probably not using. Using intrinsic functions to force We are reaching the end of Moore's Law, the number of cores per chip is increasing and clock rates are peaking. Applications ... Explore the latest work on the HotSpot JVM, with a focus on auto- Dives into the significant performance gains of using Modern CPUs don't just execute multiple instructions per cycle — they can also apply a single instruction to multiple data ... How can one CPU instruction add 8 pairs of numbers at the same time? In this lecture we explain Andy Pavlo ( cs.cmu.edu/~pavlo/) Slides: 15721.courses.cs.cmu.edu/spring2024/slides/06-