Video lectures and slides

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