<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Performance on Noureddine RAMDI</title><link>https://ramdi.fr/tags/performance/</link><description>Recent content in Performance on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/performance/index.xml" rel="self" type="application/rss+xml"/><item><title>DeepSpeed: scalable deep learning optimization with extensible hardware support</title><link>https://ramdi.fr/github-stars/deepspeed-scalable-deep-learning-optimization-with-extensible-hardware-support/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepspeed-scalable-deep-learning-optimization-with-extensible-hardware-support/</guid><description>DeepSpeed is a Python library that optimizes large-scale deep learning training with multi-hardware support and JIT CUDA extensions. Explore its architecture, strengths, and quick installation.</description></item><item><title>Inside Everything Claude Code (ECC): A multi-agent AI coding orchestration runtime evolving in Rust</title><link>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-a-multi-agent-ai-coding-orchestration-runtime-evolving-in-rust/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-a-multi-agent-ai-coding-orchestration-runtime-evolving-in-rust/</guid><description>ECC is a performance optimization system for AI coding agents, now evolving into a Rust-based orchestration runtime managing 60 agents and 232 skills across 12 languages.</description></item><item><title>Inside Everything Claude Code (ECC): AI coding agent orchestration evolving in Rust</title><link>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-ai-coding-agent-orchestration-evolving-in-rust/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/inside-everything-claude-code-ecc-ai-coding-agent-orchestration-evolving-in-rust/</guid><description>Everything Claude Code (ECC) is a performance optimization system managing 60 AI coding agents and 232 skills across 12 languages, now evolving into a Rust-based orchestration runtime.</description></item><item><title>How ripgrep combines Rust and clever algorithms for blazing-fast recursive regex search</title><link>https://ramdi.fr/github-stars/how-ripgrep-combines-rust-and-clever-algorithms-for-blazing-fast-recursive-regex-search/</link><pubDate>Tue, 05 May 2026 18:13:32 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-ripgrep-combines-rust-and-clever-algorithms-for-blazing-fast-recursive-regex-search/</guid><description>ripgrep is a Rust-based recursive regex search tool that outperforms grep and similar tools through smart optimizations, Unicode handling, and SIMD algorithms.</description></item><item><title>Frappe DataTable: a lightweight, high-performance JavaScript datagrid without jQuery</title><link>https://ramdi.fr/github-stars/frappe-datatable-a-lightweight-high-performance-javascript-datagrid-without-jquery/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/frappe-datatable-a-lightweight-high-performance-javascript-datagrid-without-jquery/</guid><description>Frappe DataTable is a modern JS library for large datasets with inline editing, keyboard nav, and tree rows—built without jQuery for performance and flexibility.</description></item><item><title>Frappe Builder: A performance-focused low-code visual website builder with Frappe CMS integration</title><link>https://ramdi.fr/github-stars/frappe-builder-a-performance-focused-low-code-visual-website-builder-with-frappe-cms-integration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/frappe-builder-a-performance-focused-low-code-visual-website-builder-with-frappe-cms-integration/</guid><description>Frappe Builder is a Vue-based low-code website builder on Frappe Framework, known for high Lighthouse scores and dynamic CMS integration. Explore its architecture, strengths, and setup.</description></item><item><title>Rapidhash: Instruction-Budgeted 64-bit Hash Functions for Diverse Deployment Contexts</title><link>https://ramdi.fr/github-stars/rapidhash-instruction-budgeted-64-bit-hash-functions-for-diverse-deployment-contexts/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/rapidhash-instruction-budgeted-64-bit-hash-functions-for-diverse-deployment-contexts/</guid><description>Rapidhash offers three 64-bit hash variants optimized for general use, HPC, and embedded systems, balancing instruction count and performance without architecture-specific intrinsics.</description></item><item><title>rust-trade: a high-performance Rust-based quantitative crypto trading system with multi-level caching</title><link>https://ramdi.fr/github-stars/rust-trade-a-high-performance-rust-based-quantitative-crypto-trading-system-with-multi-level-caching/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/rust-trade-a-high-performance-rust-based-quantitative-crypto-trading-system-with-multi-level-caching/</guid><description>rust-trade is a Rust quantitative crypto trading system combining real-time data collection, backtesting, and a Tauri desktop app. Its multi-level caching achieves ~390µs insert latency and ~13ms batch processing.</description></item><item><title>Scalene: A low-overhead Python profiler with AI-powered optimization suggestions</title><link>https://ramdi.fr/github-stars/scalene-a-low-overhead-python-profiler-with-ai-powered-optimization-suggestions/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/scalene-a-low-overhead-python-profiler-with-ai-powered-optimization-suggestions/</guid><description>Scalene is a Python profiler using statistical sampling for 10-20% overhead, offering line-level CPU/GPU/memory insights and AI-driven optimization tips via LLMs. Cross-platform with CLI and GUI.</description></item><item><title>Flow-Like: a Rust-native workflow engine with 1000x performance over interpreted runtimes</title><link>https://ramdi.fr/github-stars/flow-like-a-rust-native-workflow-engine-with-1000x-performance-over-interpreted-runtimes/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/flow-like-a-rust-native-workflow-engine-with-1000x-performance-over-interpreted-runtimes/</guid><description>Flow-Like is a Rust-native workflow automation engine delivering ~244,000 workflows/sec at ~0.6ms latency—1000x faster than typical Node.js/Python engines. It supports 900+ nodes with type-safe contracts and local-first execution.</description></item><item><title>FSearch: a lightweight C-based instant file search tool for Linux desktops</title><link>https://ramdi.fr/github-stars/fsearch-a-lightweight-c-based-instant-file-search-tool-for-linux-desktops/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/fsearch-a-lightweight-c-based-instant-file-search-tool-for-linux-desktops/</guid><description>FSearch delivers instant file search on Linux using a pre-built indexed database. Written in C with GTK3, it balances performance and minimal dependencies for advanced users.</description></item><item><title>go-interview-practice: a Go coding challenge platform with automated scoring and AI interview simulation</title><link>https://ramdi.fr/github-stars/go-interview-practice-a-go-coding-challenge-platform-with-automated-scoring-and-ai-interview-simulation/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/go-interview-practice-a-go-coding-challenge-platform-with-automated-scoring-and-ai-interview-simulation/</guid><description>Explore go-interview-practice, a Go coding challenge platform with automated testing, performance analytics, and AI-powered interview simulation supporting popular Go packages.</description></item><item><title>GrafeoDB: a high-performance Rust graph database supporting six query languages with a unified execution model</title><link>https://ramdi.fr/github-stars/grafeodb-a-high-performance-rust-graph-database-supporting-six-query-languages-with-a-unified-execution-model/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/grafeodb-a-high-performance-rust-graph-database-supporting-six-query-languages-with-a-unified-execution-model/</guid><description>GrafeoDB is a Rust-native graph database supporting LPG and RDF with six query languages. Its modular translator compiles all queries into a unified plan and delivers top-tier performance in benchmarks.</description></item><item><title>NVIDIA NeMo Agent Toolkit: Enhancing multi-agent workflows with performance primitives and observability</title><link>https://ramdi.fr/github-stars/nvidia-nemo-agent-toolkit-enhancing-multi-agent-workflows-with-performance-primitives-and-observability/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/nvidia-nemo-agent-toolkit-enhancing-multi-agent-workflows-with-performance-primitives-and-observability/</guid><description>NVIDIA NeMo Agent Toolkit adds performance primitives, profiling, and runtime intelligence to multi-agent workflows alongside existing frameworks like LangChain. It enables latency-aware routing, token-level profiling, and YAML-driven flows.</description></item><item><title>Reze Studio: React and WebGPU powering smooth animation curve editing for MMD</title><link>https://ramdi.fr/github-stars/reze-studio-react-and-webgpu-powering-smooth-animation-curve-editing-for-mmd/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/reze-studio-react-and-webgpu-powering-smooth-animation-curve-editing-for-mmd/</guid><description>Reze Studio is a WebGPU-powered, browser-native animation curve editor for MikuMikuDance, featuring a React-based timeline and performance architecture that minimizes UI stalls during playback and edits.</description></item><item><title>Gin: a zero-allocation, high-performance Go web framework for REST APIs</title><link>https://ramdi.fr/github-stars/gin-a-zero-allocation-high-performance-go-web-framework-for-rest-apis/</link><pubDate>Fri, 24 Apr 2026 14:49:28 +0000</pubDate><guid>https://ramdi.fr/github-stars/gin-a-zero-allocation-high-performance-go-web-framework-for-rest-apis/</guid><description>Gin is a Go HTTP web framework known for its zero-allocation router and up to 40x faster performance. It balances speed with developer-friendly API and middleware support.</description></item></channel></rss>