Dounia Khaldi, Pierre Jouvelot, Corinne Ancourt, and Francois Irigoin, "Task parallelism and data distribution: An overview of explicit parallel programming languages", in: International Workshop on Languages and Compilers for Parallel Computing, Springer, 2012, pp. 174-189....
Read how the Task Parallel Library (TPL) supports data parallelism to do the same operation concurrently on a source collection or array's elements in .NET.
Read how the Task Parallel Library (TPL) supports data parallelism to do the same operation concurrently on a source collection or array's elements in .NET.
This technique is often referred to as fork and join parallelism. Use task_group when you have several independent tasks that you want to execute at the same time, but you want to wait for the tasks to finish at a later time. For example, you can add tasks to a task_group object ...
For more information, see Task Parallelism (Task Parallel Library) and Cancellation in Managed Threads. Applies to .NET 10 and other versions ProductVersions .NET Core 1.0, Core 1.1, Core 2.0, Core 2.1, Core 2.2, Core 3.0, Core 3.1, 5, 6, 7, 8, 9, 10 .NET Framework 4.0, 4.5,...
Choosing this option will not distribute tests across agents when the task is running in a multi-agent job. Each of the selected test(s) will be repeated on each agent. This option is not applicable when the agent job is configured to run with no parallelism or with the multi-config opti...
(OmpSs or MPI combined with task parallelism vs CUDA combined with data parallelism), target platforms (AMD x86 many-core server, Intel Xeon Phi accelerator, NVIDIA GPU) and numerical semantics (sequential vs task parallel) from the perspectives of performance, convergence rate and numerical ...
--- SuperGlue is a C++ library for task-parallelism, with data-dependent tasks. The programmer specifies tasks, and which data each task reads and writes, and SuperGlue uses this information to deduce dependencies. SHOW ME THE CODE! --- An example where a single, independent task is created...
I have spent the past semester researching how to combine data parallelism with TBB, so that TBB can offset data tasks to a GPU when available. My
论文与出版物 As multicore architectures enter the mainstream, there is a pressing demand for high-level programming models that can effectively map to them. Stream programming offers an attractive way to expose coarse-grained parallelism, as streaming applications (image, v...