4 dépôts
Awesome GitHub RepositoriesBuffer Initialization Operations
Operations to fill GPU buffers with constant values or zero them out after allocation.
Distinct from GPU Buffer Allocators: Distinct from GPU Buffer Allocators: focuses on populating buffers with constant data after allocation, not the allocation itself.
Explore 4 awesome GitHub repositories matching data & databases · Buffer Initialization Operations. Refine with filters or upvote what's useful.
Awesome Buffer Initialization Operations GitHub Repositories
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- chyingp/nodejs-learning-guide
chyingp/nodejs-learning-guide
6,874Voir sur GitHubThis project is a learning guide and collection of study notes designed to teach Node.js backend development. It provides a comprehensive core API reference and practical demonstrations for implementing server-side logic, network programming, and system APIs. The guide specifically covers advanced technical domains including process management for scaling applications via clusters and child processes, as well as network programming for building TCP, UDP, and HTTP services. It also includes detailed instructional material on security implementation, focusing on cryptographic hashing and encryp
Provides a utility to populate a buffer with a repeating value for initialization.
Rubycryptoexpressnodejs - gfx-rs/gfx
gfx-rs/gfx
5,398Voir sur GitHubgfx est une abstraction d'API graphique agnostique au matériel qui traduit un ensemble unifié de commandes graphiques et de calcul en instructions natives pour plusieurs pilotes GPU. Il fournit une interface commune pour le rendu multiplateforme et la programmation de calcul GPU à usage général. Le projet dispose d'un système de traduction de shaders à représentation intermédiaire qui convertit le code source et SPIR-V en langages spécifiques à la cible. Il emploie un framework de test de référence piloté par les données pour vérifier que la sortie graphique reste cohérente sur différentes plateformes matérielles. Les capacités incluent l'encodage de buffer de commandes parallèle sur plusieurs threads et l'encapsulation des états de pipeline dans des objets uniques pour minimiser les changements d'état redondants. Le système gère les ressources GPU de bas niveau, incluant l'allocation mémoire, le mappage de buffer asynchrone et la présentation explicite d'images via des swapchains. L'implémentation cible les environnements natifs et les navigateurs web via WebAssembly, fournissant des couches de traduction pour WebGL et WebGL2.
Automatically clears GPU buffer memory upon allocation to ensure consistent state across different hardware platforms.
Rustdx11dx12gfx - tile-ai/tilelang
tile-ai/tilelang
5,226Voir sur GitHubTileLang is a Python-embedded domain-specific language compiler that JIT-compiles and autotunes GPU kernels. It uses a tile-based DSL, automatic software pipelining, and parallel autotuning to generate optimized GPU kernels at runtime. It supports tensor core operations with Pythonic syntax, automatic memory management, and thread mapping. The compiler searches over tile sizes, thread counts, and scheduling policies, compiling and benchmarking candidates in parallel to find the fastest kernel. It also caches compiled binaries and tuning results to disk for reuse across sessions. TileLang inc
TVM's feature to fill every element of a buffer with a specified constant value, including a dedicated operation to zero it out.
Python - flashinfer-ai/flashinfer
flashinfer-ai/flashinfer
4,996Voir sur GitHubFlashInfer is a library of high-performance GPU kernels purpose-built for accelerating large language model inference. It provides optimized implementations for attention operations (including flash attention, page attention, multi-head latent attention, and cascade attention) using paged key-value caches, fused kernel composition, and just-in-time compilation. The library also includes specialized kernels for mixture-of-experts layers, block-scaled low-precision quantization (FP8, FP4), and distributed collective communication. What distinguishes FlashInfer is its fused all-reduce communicat
Initializes device buffers for distributed synchronization protocols in multi-GPU inference.
Pythonattentioncudadistributed-inference
