Abstract: With the advancement of Artificial Intelligence (AI), the reliability of AI accelerators has become increasingly critical. Moreover, sparse matrix multiplication has become a fundamental ...
Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...
Chinese AI developer DeepSeek has released DeepSeek-V3.2-Exp, an experimental model it calls an “intermediate step” toward its next-generation architecture. T he Hangzhou-based company announced the ...
DeepSeek-V3.2-Exp Launches with Sparse Attention for Faster AI Model Training and 50% API Price Drop
According to DeepSeek (@deepseek_ai), the company has launched DeepSeek-V3.2-Exp, an experimental AI model built on the V3.1-Terminus architecture. This release introduces DeepSeek Sparse Attention ...
Currently many operations in wp.sparse modify the end matrix topology, using CUB-backed reductions that require temporary storage allocations under the hood. As a result, then cannot be captured in ...
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