Lecture 31 Optimizing Reduction Kernels Contd

By Editorial Team · October 16, 2026 · 6 min read

Lecture 31 Optimizing Reduction Kernels Contd Information Guide

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Lecture 28 : Optimizing Reduction Kernels Guide
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Lecture 29 : Optimizing Reduction Kernels (Contd.)
Lecture 29 : Optimizing Reduction Kernels (Contd.)
Lecture 33 : Optimizing Reduction Kernels (Contd.)
Lecture 33 : Optimizing Reduction Kernels (Contd.)
Lecture 34 : Optimizing Reduction Kernels (Contd.)
Lecture 34 : Optimizing Reduction Kernels (Contd.)
KernelAgent: Hardware-Guided GPU Kernel Optimization Via Multi-Agen... - K. Cheng, J. Khuu & L. Wang
KernelAgent: Hardware-Guided GPU Kernel Optimization Via Multi-Agen... - K. Cheng, J. Khuu & L. Wang
Optimized Reduction Kernel Explained | CUDA Warp and Block Reduction
Optimized Reduction Kernel Explained | CUDA Warp and Block Reduction
Lecture 37 : Kernel Fusion, Thread and Block Coarsening (Contd.)
Lecture 37 : Kernel Fusion, Thread and Block Coarsening (Contd.)
CUDA to Apple Silicon: K-Search MLX Kernel Optimization Delivers Up to 20× Prefill Speedup
CUDA to Apple Silicon: K-Search MLX Kernel Optimization Delivers Up to 20× Prefill Speedup
Lecture 18: Warp Scheduling and Divergence (Contd.)
Lecture 18: Warp Scheduling and Divergence (Contd.)
Custom CUDA Kernels and Agent Skills: Optimizing GPU Kernels for LLM Agent Acceleration
Custom CUDA Kernels and Agent Skills: Optimizing GPU Kernels for LLM Agent Acceleration
CUDA Part F: Kernel Optimizations: Shared Memory Accesses; Peter Messmer (NVIDIA)
CUDA Part F: Kernel Optimizations: Shared Memory Accesses; Peter Messmer (NVIDIA)

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Last Updated: October 16, 2026

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Sorting, Sorting Networks, Bitonic Sort Serial Implementation, Recursion. Comparator, Sorting subproblem, Bitonic Sort Parallel Implementation. Sorting bitinic sequence, All Prefix Sum , Inclusive and exclusive scan. Steel inclusive scan, Prefix Sum Implementation, Blelloch Scan Algorithm and Implementation. Recently, the PyTorch team released KernelAgent, an open agentic system achieving 100% correctness across all 250 L1/L2/L3 ... Inner and Inter Block Fusion - example, advantage and disadvantages. UC Berkeley and IBM Research introduced a method for transferring decades of CUDA GPU Control Flow Divergence, Branch Synchronization Stack, Predicated Instructoins. Programming for GPUs Course: Introduction to OpenACC 2.0 vesves CUDA 5.5 - ember 4-6, 2017. Programming for GPUs ...

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