SCHEDULING: A FAST C++ THREAD POOL IMPLEMENTATION CAPABLE OF EXECUTING TASK GRAPHS

In this paper, the author presents a simple and efficient C++ thread pool implementation capable of executing task graphs. The conducted experiments demonstrate that the proposed solution achieves CPU performance comparable to Taskflow, a highly optimized library for parallel and heterogeneous programming. The implementation is small and straightforward, consisting of less than one thousand lines of C++ code at the time of writing this paper.

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Publication Details

Journal
Computer Systems and Information Technologies
Published
2025-03-27
DOI
https://doi.org/10.31891/csit-2025-1-9
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

SCHEDULING: A FAST C++ THREAD POOL IMPLEMENTATION CAPABLE OF EXECUTING TASK GRAPHS

Dmytro Puyda
Computer Systems and Information Technologies
Distributed and Parallel Computing Systems
article

SCHEDULING: A FAST C++ THREAD POOL IMPLEMENTATION CAPABLE OF EXECUTING TASK GRAPHS

Dmytro Puyda
article en

Abstract

In this paper, the author presents a simple and efficient C++ thread pool implementation capable of executing task graphs. The conducted experiments demonstrate that the proposed solution achieves CPU performance comparable to Taskflow, a highly optimized library for parallel and heterogeneous programming. The implementation is small and straightforward, consisting of less than one thousand lines of C++ code at the time of writing this paper.

Computer Systems and Information Technologies(1)
Lviv Polytechnic National University (UA)
Openalex Percentile: Top 91%
Distributed and Parallel Computing Systems
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SCHEDULING: A FAST C++ THREAD POOL IMPLEMENTATION CAPABLE OF EXECUTING TASK GRAPHS — Dmytro Puyda · Computer Systems and Information Technologies (2025) | TGRS Research Map | TGRS