llnl/FPChecker

Letzte erfasste Quellaktivität: 4. April 2026 um 18:29

SkillsMP-Katalog aktualisiert: 5. November 2026 um 19:57

gesammelte Skills: 4

GitHub-Stars: 45
GitHub-Forks: 13

Mit einem KI-Assistenten installieren

Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/llnl/FPChecker.

README des Repositorys

README-Quelldatei: 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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Skills in diesem Repository

Softwareentwickler Softwarequalitätssicherungsanalysten und -tester

2 Berufskategorien · 100% klassifiziert

Skill

Beruf

Beschreibung

Aktualisiert

build-the-tool

Softwareentwickler

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

Quellsprache: Englisch

2026-04-04

html-reports-description

Softwareentwickler

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

Quellsprache: Englisch

2026-04-03

write-tests

Softwarequalitätssicherungsanalysten und -tester

Guide for writing tests in the project

Quellsprache: Englisch

2026-04-03

tool-description-error-tracking

Softwareentwickler

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

Quellsprache: Englisch

2026-04-02

Es werden 4 von 4 gesammelten Skills angezeigt.