Performance monitoring and benchmarking suite
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Updated
Sep 16, 2026 - C
Performance monitoring and benchmarking suite
Python interface for the LIKWID C API (https://github.com/RRZE-HPC/likwid)
This CLI tool and Python3 module collects the current system state for documentation
Performance Counter Analysis
Theoretical-practical study of the main numerical calculation methods used in scientific computing, focusing on the efficient implementation of these methods in serial computers and addressing code optimization techniques and resilience to numerical errors.
Summer IP High performance computing lab
Nuxt 4 GitHub template: Pug, SCSS, TypeScript, Vitest, Playwright, SYS_ENV matrix, dual agent surfaces
Projects for introduction to scientific computing at UFPR
Coletânea de exercícios de computação científica em C: aritmética intervalar e erro de ponto flutuante, ajuste polinomial por mínimos quadrados com eliminação de Gauss, interpolação de Newton e Lagrange, integração de Monte Carlo e multiplicação de matriz otimizada com unroll & jam e blocking, medida com LIKWID e plotada em gnuplot.
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