Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Parallelization is needed everywhere, from laptops and mobile phones to supercomputers. Among parallel programming models, task-based programming has demonstrated a powerful potential and is widely used in high-performance scientific computing. Not only does it allow efficient parallelization across...

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Bibliographic Details
Published in:PeerJ. Computer science Vol. 11; p. e2966
Main Authors: Cardosi, Paul, Bramas, Bérenger
Format: Journal Article
Language:English
Published: United States PeerJ. Ltd 11.07.2025
PeerJ
PeerJ Inc
Subjects:
Algorithms
C++
Computer Science
CUDA
Distributed processing (Computers)
Hip
Methods
Runtime system
Scheduling
Scheduling (Management)
Task-based
France
CUDA
Runtime system
C++
Scheduling
Task-based
Hip
scheduler
mpi
parallelization
gpu
runtime system
task-based
ISSN:2376-5992, 2376-5992
Online Access:Get full text
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Summary:Parallelization is needed everywhere, from laptops and mobile phones to supercomputers. Among parallel programming models, task-based programming has demonstrated a powerful potential and is widely used in high-performance scientific computing. Not only does it allow efficient parallelization across distributed heterogeneous computing nodes, but it also allows for elegant source code structuring by describing hardware-independent algorithms. In this article, we present Specx, a task-based runtime system written in modern C++. Specx supports distributed heterogeneous computing by simultaneously exploiting central processing units (CPUs) and graphics processing units (GPUs) (CUDA/HIP) and incorporating communication into the task graph. We describe the specificities of Specx and demonstrate its potential by running parallel applications.
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ISSN:2376-5992
2376-5992
DOI:10.7717/peerj-cs.2966