1 مستودع
Awesome GitHub RepositoriesDistributed Synchronization Buffer Initializers
Sets device buffers to negative zero to prepare for a distributed synchronization protocol.
Distinct from Buffer Initialization Operations: Distinct from Buffer Initialization Operations: specifically prepares buffers for distributed synchronization protocols, not general constant filling.
Explore 1 awesome GitHub repository matching data & databases · Distributed Synchronization Buffer Initializers. Refine with filters or upvote what's useful.
Awesome Distributed Synchronization Buffer Initializers GitHub Repositories
اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
- flashinfer-ai/flashinfer
flashinfer-ai/flashinfer
4,996عرض على 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
