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Video lectures and slides - Kokkos documentation

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Video lectures and slidesΒΆ

Module

Video lectures

Slides

Intro, Build, Parallel dispatch

Slides

1.1.

Introduction

1.2.

Concepts for Data Parallelism

1.3.

Data parallel patterns

1.4.

Building Applications with Kokkos

Views and Spaces

Slides

2.1.

Views

2.2.

Execution and Memory Spaces

2.3.

Managing memory access patterns for performance portability

2.4.

Advanced Reductions

Multidim loops and Data Structures

Slides

3.1.

Tightly Nested Loops with MDRangePolicy

3.2.

Subviews: Taking slices of Views

3.3.

Unmanaged Views: Dealing with external memory

3.4.

Thread safety and atomic operations

3.5.

ScatterView

3.6.

DualView

Hierarchical Parallelism

Slides

4.1.

Hierarchical parallelism

4.2.

Scratch memory

4.3.

Unique Token

SIMD, Streams, Tasking

Slides

5.1.

SIMD

5.2.

Asynchronicity and Streams

5.3.

Task parallelism

Fortran/Python interop, MPI, PGAS

Slides

6.1.

Fortran InterOp

6.2.

Python InterOp

6.3.

MPI - Kokkos Interoperability

6.4.

Kokkos Remote Spaces: Support for PGAS in Kokkos

Kokkos Tools

Slides

7.1.

Kokkos Tools

7.2.

Vendor and Independent Profiling GUIs

7.3.

Tuning

7.4.

Custom Tools

7.5.

Clang Based Static Analysis

Kokkos Kernels Math Library

Slides

8.1.

Kokkos Kernels: Library Based Approach for Performance Portable Sparse/Dense linear algebra and Graph Kernels

8.2.

BLAS and LAPACK

8.3.

Batched BLAS and LAPACK

8.4.

Sparse Linear Algebra

8.5.

Graph Kernels

8.6.

Sparse Solvers

8.7.

Sparse Solvers 2

8.8.

Building Applications with Kokkos Kernels


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