An operator for running distributed k6 tests.
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Updated
May 23, 2024 - Go
An operator for running distributed k6 tests.
An experimental code analyzer for Julia. No need for additional type annotations.
Performance monitoring and benchmarking suite
MLOS is a project to enable autotuning for systems.
python performance optimization tricks
Cycle-level, trace-driven, parallel GPU simulator for NVIDIA Pascal.
Coz: Causal Profiling
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Julia wrapper for the performance monitoring and benchmarking suite LIKWID.
Collection of examples and links that uses different profiling tools to show memory usage and timings.
A curated collection of publicly available resources on how companies around the world perform load testing
An open-source expert system for automated end-to-end objective-driven performance testing and performance insights.
A cross-architecture resource-based parallel simulation framework that can efficiently predict the performance of real or hypothetical massively parallel MPI programs on current and future heterogeneous systems.
AEM JMeter template is a predefined, AEM web appliactions Test Plan template, ready to use.
Run your JMeter load tests without installing JMeter in your local inside Docker Desktop using this awesome extension.
Experiment tracker: organize, visualize, compare and share runs. Removes toil from algorithm/performance R&D and tuning.
Performance-driven softwAre moDel Refactoring framEwork
Coz: Causal Profiling
Analysis of using Mutable or Immutable types.
GitHub Action to easily integrate Gatling performance tests to GitHub workflows.
Add a description, image, and links to the performance-engineering topic page so that developers can more easily learn about it.
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