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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SyncNOVA: an end-to-end fine-grained profiling tool oN lOck behaVior detection and critical section diAgnosis

Hailong Yang, Wenhao Feng, Zhongzhi Luan, Depei Qian et al.
CCF Transactions on High Performance Computing
Parallel Computing and Optimization Techniques
article

SyncNOVA: an end-to-end fine-grained profiling tool oN lOck behaVior detection and critical section diAgnosis

Hailong Yang, Wenhao Feng, Zhongzhi Luan, Depei Qian, Pengfei Li, Shizhe Shang
article en

Abstract

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.

CCF Transactions on High Performance ComputingVol. 7(2)
Beihang University (CN)
National Natural Science Foundation of China, Key Technologies Research and Development Program
Openalex Percentile: Top 94%
Parallel Computing and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SyncNOVA: an end-to-end fine-grained profiling tool oN lOck behaVior detection and critical section diAgnosis — Hailong Yang, Wenhao Feng, et al. · CCF Transactions on High Performance Computing (2025) | TGRS Research Map | TGRS