Lecture 29 Optimizing Reduction Kernels

Lecture 29 Optimizing Reduction Kernels Information Guide

1. About of Lecture 29 Optimizing Reduction Kernels
2. Core Information
3. History
4. Expert Insights
5. Summary

About of Lecture 29 Optimizing Reduction Kernels

Comparator, Sorting subproblem, Bitonic Sort Parallel Implementation. Sorting, Sorting Networks, Bitonic Sort Serial Implementation, Recursion. For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: Andrew ... Sorting bitinic sequence, All Prefix Sum , Inclusive and exclusive scan. Message passing, async vs. blocking sends/receives, pipelining, increasing arithmetic intensity, avoiding contention To follow ... Steel inclusive scan, Prefix Sum Implementation, Blelloch Scan Algorithm and Implementation.

Byron Hsu presents LinkedIn's open-source collection of Triton

Core Information

History

Lecture 7 - Deep Learning Foundations: Neural Tangent Kernels

Lecture 31 : Optimizing Reduction Kernels (Contd.)

Lecture 7 - Kernels | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

Lecture 33 : Optimizing Reduction Kernels (Contd.)

Stanford CS149 I Lecture 6 - Performance Optimization II: Locality, Communication, and Contention

Lecture 35 : Kernel Fusion, Thread and Block Coarsening

Lecture 34 : Optimizing Reduction Kernels (Contd.)

Lecture 9 Reductions

Lecture 28: Liger Kernel - Efficient Triton Kernels for LLM Training

Expert Insights

Data is compiled from public records and verified media reports.

Last Updated: June 11, 2026

Summary

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