1 repo
Awesome GitHub RepositoriesSparse Softmax Kernels
Computational kernels for applying softmax operations while maintaining sparsity constraints in neural networks.
Distinguishing note: Specifically targets the softmax operation within sparse contexts, distinct from general sparse matrix multiplication.
Explore 1 awesome GitHub repository matching scientific & mathematical computing · Sparse Softmax Kernels. Refine with filters or upvote what's useful.
Awesome Sparse Softmax Kernels GitHub Repositories
Find the best repos with AI.We'll search the best matching repositories with AI.
- deepspeedai/DeepSpeed
deepspeedai/DeepSpeed
41,638View on GitHubDeepSpeed is a high-performance library designed to scale deep learning model training and inference across massive clusters of GPUs and compute nodes. It provides a comprehensive suite of tools for distributed training, enabling the execution of models that exceed the memory capacity of single devices through advanced parameter partitioning, pipeline-based model parallelism, and memory-efficient state offloading. The framework distinguishes itself through specialized communication-efficient optimizers and hardware-aware acceleration techniques. By utilizing gradient compression, quantization
The framework maintains sparsity constraints within attention mechanisms by applying block-sparse softmax operations during forward and backward passes.
Pythonbillion-parameterscompressiondata-parallelism
