Release Notes » Release 3.2.0 (2021/07/29)

Taskflow 3.2.0 is the 3rd release in the 3.x line! This release includes several new changes such as CPU-GPU tasking, algorithm collection, enhanced web-based profiler, documentation, and unit tests.

Download

Taskflow 3.2.0 can be downloaded from here.

System Requirements

To use Taskflow v3.2.0, you need a compiler that supports C++17:

• GNU C++ Compiler at least v8.4 with -std=c++17
• Clang C++ Compiler at least v6.0 with -std=c++17
• Microsoft Visual Studio at least v19.27 with /std:c++17
• AppleClang Xcode Version at least v12.0 with -std=c++17
• Nvidia CUDA Toolkit and Compiler (nvcc) at least v11.1 with -std=c++17
• Intel C++ Compiler at least v19.0.1 with -std=c++17
• Intel DPC++ Clang Compiler at least v13.0.0 with -std=c++17 and SYCL20

Taskflow works on Linux, Windows, and Mac OS X.

Working Items

• enhancing support for SYCL with Intel DPC++
• enhancing parallel CPU and GPU algorithms
• designing pipeline interface and its scheduling algorithms

New Features

Taskflow Core

• added tf::SmallVector optimization for optimizing the dependency storage in a graph

• added move constructor and move assignment operator for tf::Taskflow

  • tf::Taskflow::Taskflow(Taskflow&&)
  • tf::Taskflow::operator=(Taskflow&&)

• added moved run in tf::Executor for automatically managing taskflow's lifetimes

  • tf::Executor::run(Taskflow&&)
  • tf::Executor::run(Taskflow&&, C&&)
  • tf::Executor::run_n(Taskflow&&, size_t)
  • tf::Executor::run_n(Taskflow&&, size_t, C&&)
  • tf::Executor::run_until(Taskflow&&, P&&)
  • tf::Executor::run_until(Taskflow&&, P&&, C&&)

cudaFlow

• improved the execution flow of tf::cudaFlowCapturer when updates involve

New algorithms in tf::cudaFlow and tf::cudaFlowCapturer:

• added tf::cudaFlow::reduce
• added tf::cudaFlow::transform_reduce
• added tf::cudaFlow::uninitialized_reduce
• added tf::cudaFlow::transform_uninitialized_reduce
• added tf::cudaFlow::inclusive_scan
• added tf::cudaFlow::exclusive_scan
• added tf::cudaFlow::transform_inclusive_scan
• added tf::cudaFlow::transform_exclusive_scan
• added tf::cudaFlow::merge
• added tf::cudaFlow::merge_by_key
• added tf::cudaFlow::sort
• added tf::cudaFlow::sort_by_key
• added tf::cudaFlow::find_if
• added tf::cudaFlow::min_element
• added tf::cudaFlow::max_element
• added tf::cudaFlowCapturer::reduce
• added tf::cudaFlowCapturer::transform_reduce
• added tf::cudaFlowCapturer::uninitialized_reduce
• added tf::cudaFlowCapturer::transform_uninitialized_reduce
• added tf::cudaFlowCapturer::inclusive_scan
• added tf::cudaFlowCapturer::exclusive_scan
• added tf::cudaFlowCapturer::transform_inclusive_scan
• added tf::cudaFlowCapturer::transform_exclusive_scan
• added tf::cudaFlowCapturer::merge
• added tf::cudaFlowCapturer::merge_by_key
• added tf::cudaFlowCapturer::sort
• added tf::cudaFlowCapturer::sort_by_key
• added tf::cudaFlowCapturer::find_if
• added tf::cudaFlowCapturer::min_element
• added tf::cudaFlowCapturer::max_element
• added tf::cudaLinearCapturing

syclFlow

CUDA Standard Parallel Algorithms

• added tf::cuda_for_each
• added tf::cuda_for_each_index
• added tf::cuda_transform
• added tf::cuda_reduce
• added tf::cuda_uninitialized_reduce
• added tf::cuda_transform_reduce
• added tf::cuda_transform_uninitialized_reduce
• added tf::cuda_inclusive_scan
• added tf::cuda_exclusive_scan
• added tf::cuda_transform_inclusive_scan
• added tf::cuda_transform_exclusive_scan
• added tf::cuda_merge
• added tf::cuda_merge_by_key
• added tf::cuda_sort
• added tf::cuda_sort_by_key
• added tf::cuda_find_if
• added tf::cuda_min_element
• added tf::cuda_max_element

Utilities

• added CUDA meta programming
• added SYCL meta programming

Taskflow Profiler (TFProf)

Bug Fixes

• fixed compilation errors in constructing tf::cudaRoundRobinCapturing

• fixed compilation errors of TLS worker pointer in tf::Executor

• fixed compilation errors of nvcc v11.3 in auto template deduction

  • std::scoped_lock
  • tf::Serializer and tf::Deserializer

• fixed memory leak when moving a tf::Taskflow

Breaking Changes

There are no breaking changes in this release.

Deprecated and Removed Items

• removed tf::cudaFlow::kernel_on method
• removed explicit partitions in parallel iterations and reductions
• removed tf::cudaFlowCapturerBase
• removed tf::cublasFlowCapturer
• renamed update and rebind methods in tf::cudaFlow and tf::cudaFlowCapturer to overloads

Documentation

• revised Static Tasking

  • Move a Taskflow

• revised Executor

  • Execute a Taskflow with Transferred Ownership

Miscellaneous Items

We have published tf::cudaFlow in the following conference:

• Dian-Lun Lin and Tsung-Wei Huang, "Efficient GPU Computation using Task Graph Parallelism," European Conference on Parallel and Distributed Computing (EuroPar), 2021