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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.
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Awesome Distributed Synchronization Buffer Initializers GitHub Repositories
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- flashinfer-ai/flashinfer
flashinfer-ai/flashinfer
4,996GitHub पर देखेंFlashInfer 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
