SyncNOVA: an end-to-end fine-grained profiling tool oN lOck behaVior detection and critical section diAgnosis
Abstract Synchronization performance issues related to lock such as too large critical section and improper lock usage, are inevitable in scientific computing. Even skilled programmers suffer from complicated reports of existing lock behavior profilers, not to mention scientists who are most of the scientific computing programmers. Besides, ARM-based supercomputers emerge on the top 500 list while ARM-supported lock behavior profiling tools haven’t got enough attention as they deserve. Based on an “one step for all” workflow including problem identification, problem analysis and solution generation, this paper presents an end-to-end and fine-grained lock behavior profiling tool, supporting both ARM and $$\times$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>×</mml:mo> </mml:math> 86 architecture. Specially, this paper introduces a priority function to quantify the priority of distinct solutions and users can adjust different weights of metrics. Compared to existing work using library interception and replacement or $$\times$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>×</mml:mo> </mml:math> 86-based analysis framework, fined-grained analysis, highly usable report, high portability and strong compatibility make it an efficient tool for scientific computing programmers to find and optimize lock related performance bugs.
Authors
- Hailong Yang (ORCID: https://orcid.org/0000-0003-1101-7927)
- Wenhao Feng
- Zhongzhi Luan (ORCID: https://orcid.org/0000-0002-7186-0556)
- Depei Qian (ORCID: https://orcid.org/0000-0002-5382-1473)
- Pengfei Li (ORCID: https://orcid.org/0009-0009-4234-1579)
- Shizhe Shang
Institutions
- Beihang University (CN)
Publication Details
- Journal
- CCF Transactions on High Performance Computing
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1007/s42514-024-00210-1
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Key Technologies Research and Development Program