TaskTorrent：一个轻量级的基于任务的分布式C++编译系统
TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++
摘要：
我们提出了TaskTorrent，一个轻量级的分布式基于任务的C++运行时。TaskTorrent使用参数化的任务图来表示任务DAG，并使用单侧活动消息来异步触发远程任务。因此，任务DAG是完全并行分布和发现的。它是一个C++14库，只依赖于MPI。我们解释了API和实现。我们对StarPU和ScaLAPACK进行了一系列基准测试。微基准测试表明，与其他解决方案相比，它具有最小的开销。然后，我们将其应用到两个大型线性代数问题。TaskTorrent可以很好地扩展到数千个核心，表现出良好的弱扩展和强扩展。
英文摘要：
We present TaskTorrent, a lightweight distributed task-based runtime in C++. TaskTorrent uses a parametrized task graph to express the task DAG, and one-sided active messages to trigger remote tasks asynchronously. As a result the task DAG is completely distributed and discovered in parallel. It is a C++14 library and only depends on MPI. We explain the API and the implementation. We perform a series of benchmarks against StarPU and ScaLAPACK. Micro benchmarks show it has a minimal overhead compared to other solutions. We then apply it to two large linear algebra problems. TaskTorrent scales very well to thousands of cores, exhibiting good weak and strong scalings.
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