Español
Abrir en Telegram

Publicación Building a GPU Compiler from Scratch

22 de octubre de 2026
P
PythonHub
Enlace
haz clic para mostrar
Building a GPU Compiler from Scratch Progressive multi-level IR lowering systematically transforms high-level PyTorch graphs into optimized CUDA code through six explicit compiler stages. By separating graph fusion, hardware scheduling, and autotuning, the architecture makes GPU optimization easier to reason about, measure, and improve. https://kernelspace.substack.com/p/building-a-gpu-compiler-from-scratch
1 · 100 ·

Cerca en el feed

PPythonHubBuild your own decision model Nish Tahir shows how to turn a small Qwen model into a fixed-choice decision model by masking outputs to allowed tokens, then evalPPythonHubsecurity-suite Open-source security suite for OSINT, web scanning, API testing, SIEM integration, and AI-powered analysis. https://github.com/TheSecuredAnalyst/
este mensaje
PPythonHubgoogle / artemis ARTEMIS turns natural-language instructions into reliable Android automation. It automates end-to-end workflows, captures logs, and integrates PPythonHubPolars Query Optimization: Lazy vs. Eager Mode Learn how Polars' lazy mode improves memory efficiency and performance compared to eager mode by building an opti

Un feed público abierto del índice de búsqueda ChatCrawler — el “Google del Telegram público”; se actualiza a medida que se rastrea la comunidad. Las horas se muestran en UTC.

Solo contenido público, API oficial de Telegram. Acerca de · Preguntas frecuentes · Límites del índice · Eliminar una página · Catálogo · Búsqueda · Cómo contamos