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Christian Trott edited this page Jan 19, 2021 · 7 revisions

Parallel patterns

Parallel execution patterns for composing algorithms.

Function Description
parallel_for Executes user code in parallel
parallel_reduce Executes user code to perform a reduction in parallel
parallel_scan Executes user code to generate a prefix sum in parallel
fence Fences execution spaces

Built-in Reducers

Reducer objects used in conjunction with parallel_reduce.

Reducer Description
BAnd Binary 'And' reduction
BOr Binary 'Or' reduction
LAnd Logical 'And' reduction
LOr Logical 'Or' reduction
Max Maximum reduction
MaxLoc Reduction providing maximum and an associated index
Min Minimum reduction
MinLoc Reduction providing minimum and an associated index
MinMax Reduction providing both minimum and maximum
MinMaxLoc Reduction providing both minimum and maximum and associated indices
Prod Multiplicative reduction
Sum Sum reduction

Tags for Team Policy Calculations

Tags passed to team_size_max or team_size_recommended to identify whether the pattern for which the team size for a functor is being requested

Tag pattern
ParallelForTag parallel_for
ParallelReduceTag parallel_reduce
ParallelScanTag parallel_scan

Home:

Programming Guide

Content: Core

  1. Introduction
  2. Machine Model
  3. Programming Model
  4. Compiling
  5. Initialization
  6. View
  7. Parallel Dispatch
  8. Hierarchical Parallelism
  9. Custom Reductions
  10. Atomic Operations
  11. Subviews
  12. Interoperability
  13. Kokkos and Virtual Functions

Content: Containers

  1. Dual View
  2. Dynamic Rank View
  3. Dynamic Length View
  4. Offset View
  5. Unordered Map

Content: Algorithms

  1. Sorting
  2. Random Numbers
  3. Iterators
  4. Std Algorithms
    1. NonModSequenceOps
    2. ModSeqOps
    3. PartioningOps

API Reference

Content: Alphabetical

Content: Core

  1. Initialization and Finalization
  2. View
  3. Data Parallelism
  4. Execution Policies
  5. Spaces
  6. Task Parallelism
  7. Utilities
  8. STL Compatibility
  9. Numerics
  10. Detection Idiom

Content: Containers

Content: Algorithms

  1. Sort
  2. Random Number

Use Cases

  1. MPI Halo Exchange
  2. ScatterView Average To Nodes
  3. Tightly nested loops
  4. Using Virtual Functions
  5. Classes and Functors
  6. Overlapping Host and Device work
  7. Tasking
  8. Fortran Interop
  9. SoA and AoSoA with Cabana

A Guide to Kokkos Testing and Issue Tracking

  1. Requirement Tracking
  2. Testing Processes
  3. Testing Workflow Components
  4. Kokkos Testing
  5. Testing Process Details
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