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Showing 2 open source projects for "edge"
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BlockSparse
Efficient GPU kernels for block-sparse matrix multiplication
The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse... -
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Community driven projects featuring the latest innovations for cutting edge apps. Our flagship project JBoss AS is the leading Open Source, standards-compliant, Java EE based application server implemented in 100% Pure Java.
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