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arXiv · 2207.12127

Quantifying Overheads in Charm++ and HPX using Task Bench

Nanmiao Wu·Ioannis Gonidelis·Simeng Liu·Zane Fink·Nikunj Gupta·Karame Mohammadiporshokooh·Patrick Diehl·Hartmut Kaiser·Laxmikant V. Kale
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Abstract

Asynchronous Many-Task (AMT) runtime systems take advantage of multi-core architectures with light-weight threads, asynchronous executions, and smart scheduling. In this paper, we present the comparison of the AMT systems Charm++ and HPX with the main stream MPI, OpenMP, and MPI+OpenMP libraries using the Task Bench benchmarks. Charm++ is a parallel programming language based on C++, supporting stackless tasks as well as light-weight threads asynchronously along with an adaptive runtime system. HPX is a C++ library for concurrency and parallelism, exposing C++ standards conforming API. First, we analyze the commonalities, differences, and advantageous scenarios of Charm++ and HPX in detail. Further, to investigate the potential overheads introduced by the tasking systems of Charm++ and HPX, we utilize an existing parameterized benchmark, Task Bench, wherein 15 different programming systems were implemented, e.g., MPI, OpenMP, MPI + OpenMP, and extend Task Bench by adding HPX implementations. We quantify the overheads of Charm++, HPX, and the main stream libraries in different scenarios where a single task and multi-task are assigned to each core, respectively. We also investigate each system's scalability and the ability to hide the communication latency.

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Nanmiao Wu, Ioannis Gonidelis, Simeng Liu, Zane Fink, Nikunj Gupta, Karame Mohammadiporshokooh, Patrick Diehl, Hartmut Kaiser, Laxmikant V. Kale. 2022-07-21. Quantifying Overheads in Charm++ and HPX using Task Bench. https://doi.org/10.1007/978-3-031-31209-0_1

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