Lecture 34 Optimizing Reduction Kernels Contd

Lecture 34 : Optimizing Reduction Kernels (Contd.)

Steel inclusive scan, Prefix Sum Implementation, Blelloch Scan Algorithm and Implementation.

Lecture 33 : Optimizing Reduction Kernels (Contd.)

Sorting bitinic sequence, All Prefix Sum , Inclusive and exclusive scan.

Lecture 29 : Optimizing Reduction Kernels (Contd.)

Reduction Kernel

Lecture 30 : Optimizing Reduction Kernels (Contd.)

Complete unrolling, Multiple

Lecture 32 : Optimizing Reduction Kernels (Contd.)

Comparator, Sorting subproblem, Bitonic Sort Parallel Implementation.

Lecture 28 : Optimizing Reduction Kernels

Reduction Kernel

Lecture 23: Memory Access Coalescing (Contd.)

Transpose Operation: Naive Row and Naive Col Implementations.

Lecture 24: Memory Access Coalescing (Contd.)

Profiling Analysis using NVPROF, load transactions, store transactions.

Heterogeneous Parallel Programming 4.3 - Parallel Computation Patterns A Better Reduction Kernel

Instructor - Prof. Wen-mei Hwu Playlist - https://www.youtube.com/playlist?list=PLzn6LN6WhlN06hIOA_ge6SrgdeSiuf9Tb.

Lecture 35 : Kernel Fusion, Thread and Block Coarsening

Loop fusion ,

Lecture 26: Memory Access Coalescing (Contd.)

Transpose: Resolving Shared Memory Bank Conflicts, Memory Padding.

Lecture 34: Design Strategies (Contd.)

Concepts Covered: Parameters required for design of axial flow compressor Selection of design mass flow rate Fixing of initial ...

Optimized Reduction Kernel Explained | CUDA Warp and Block Reduction

In this video, we explore the

Lecture 27: Memory Access Coalescing (Contd.)

Transpose: Global Memory

Lecture 9 Reductions

Slides https://docs.google.com/presentation/d/1s8lRU8xuDn-R05p1aSP6P7T5kk9VYnDOCyN5bWKeg3U/edit?usp=sharing ...

Mod-01 Lec-34 Optimization

Foundations of

Must Know Technique in GPU Computing | Episode 4: Tiled Matrix Multiplication in CUDA C

Tiled (general) Matrix Multiplication from scratch in CUDA C. Code Repo: ...