llnl/FPChecker

최근 기록된 소스 활동: 2026년 4월 4일 18:29

SkillsMP 카탈로그 업데이트: 2026년 11월 5일 19:57

수집된 skills: 4

GitHub 스타: 45
GitHub 포크: 13

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저장소 README

README 원본 파일: README.md

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<img src="figures/logo_fpchecker.png" /> [![Build Status](https://travis-ci.org/LLNL/FPChecker.svg?branch=master)](https://travis-ci.org/LLNL/FPChecker) **FPChecker** (Floating-Point Checker) is a dynamic analysis tool for profiling floating-point behavior in HPC applications. It gives developers clear, execution-based insight into how floating-point arithmetic behaves under real workloads and is currently the only tool in its class tailored to the HPC domain. Designed for straightforward adoption, FPChecker integrates with existing build workflows and produces detailed reports that pinpoint the exact file and line locations of numerical issues, including exceptions, high accumulated rounding error, cancellation, and related events. Its rounding-error reports also support data-driven mixed-precision tuning by highlighting code locations where promotion to higher precision is most beneficial. ## Documentation To see how to install and use FPChecker, visit: [https://fpchecker.org/](https://fpchecker.org/) ## Features - **Easy adoption:** FPChecker requires only minor build-script updates, such as replacing the compiler invocation (for example, `clang++`) with FPChecker wrappers (for example, `clang++-fpchecker`). Instrumentation is then applied automatically at build time. - **Execution-accurate detection:** FPChecker reports issues based on actual execution for the selected inputs, reducing false alarms from paths that are not exercised. - **Built for HPC workflows:** FPChecker supports key HPC languages and programming models, including C/C++, MPI, and, in selected modes, OpenMP and Pthreads. - **Actionable reporting:** FPChecker produces detailed reports that identify the exact source location (file and line) of floating-point issues. - **Mixed-precision guidance:** Rounding-error accumulation reports highlight high-risk lines, helping users prioritize selective FP32-to-FP64 promotion based on measured numerical impact. ### Contact For questions, contact Ignacio Laguna <ilaguna@llnl.gov>. To cite FPChecker please use ``` Laguna, Ignacio. "FPChecker: Detecting Floating-point Exceptions in GPU Applications." In 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 1126-1129. IEEE, 2019. ``` or ``` Ignacio Laguna, Tanmay Tirpankar, Xinyi Li, and Ganesh Gopalakrishnan. "Fpchecker: Floating-point exception detection tool and benchmark for parallel and distributed HPC." In 2022 IEEE International Symposium on Workload Characterization (IISWC), pp. 39-50. IEEE, 2022. ``` ## License FPChecker is distributed under the terms of the Apache License (Version 2.0). All new contributions must be made under the Apache-2.0 license. See LICENSE and NOTICE for details. LLNL-CODE-769426

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업데이트

build-the-tool

소프트웨어 개발자

Guide for building the tool when asked by the user or testing a code change that requires a new build of the tool

원문 언어: 영어

2026-04-04

html-reports-description

소프트웨어 개발자

Guide for understanding the structure and content of HTML reports generated by the tool

원문 언어: 영어

2026-04-03

write-tests

소프트웨어 품질 보증 분석가·테스터

Guide for writing tests in the project

원문 언어: 영어

2026-04-03

tool-description-error-tracking

소프트웨어 개발자

Guide for understanding the tool's functionality and usage in error tracking

원문 언어: 영어

2026-04-02

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