Projects with this topic
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High-performance hashing functions written in Zig
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Performance loading and testing workflows targeted at testing AutoSD & RHIVOS builds.
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🐚 This repository contains my personal packages developed by me.Updated -
The GitLab Performance Tool (GPT) tests the server performance of GitLab environments.
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Cross-platform orchestration engine designed to mitigate PowerShell profile bloat. By intercepting command calls, it auto-installs and loads modules, binaries, and dependencies only when they are actually needed.
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LiteSpeed cache optimization utilities for PHP applications. Programmatic cache control, tag-based purging, and ESI support.
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Joe helps backend engineers and DBAs troubleshoot and optimize SQL, moving really quickly. Joe works on top of Database Lab https://gitlab.com/postgres-ai/database-lab.
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A personal Angular 20 playground showcasing modern Angular features, best practices, and performance optimization. Live at: https://davidmartins.dev
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Automated LLM Benchmarking on GPU - tokens/sec, latency percentiles, VRAM profiling, multi-format support (HuggingFace, GGUF, GPTQ)
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Lightweight file-based page caching library for PHP. Drop-in HTML cache with TTL, cache groups, and automatic invalidation. Zero dependencies.
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Lazy-loading video embed optimization library. Replaces iframe embeds with lightweight placeholders that load on interaction.
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The GitLab Browser Performance Tool (GBPT) tests the browser performance of various GitLab pages with SiteSpeed.
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Benchmark suite for measuring Univec performance.
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ZFS arc cache max value evaluation script.
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Front-end. Вопросы на собеседовании
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A demo code for my talks on
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Benchmarks data processing tools
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Performance tweaks for and Garuda Linux
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A lightweight, containerized HTML-to-PDF rendering microservice built with WebKitGTK and Go, optimized for low CPU/memory usage, fast response times, and scalable cloud deployments.
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Reproducible C++ benchmark comparing Data-Oriented Design (DOD) and Object-Oriented Programming (OOP) approaches for rendering performance, including scalar, SSE, and AVX optimizations.
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