Abstract: Using high-level synthesis techniques, this paper proposes an adaptable high-performance streaming dataflow engine for sparse matrix dense vector multiplication (SpMV) suitable for embedded ...
LongCat 2.0 is Meituan's 1.6T-parameter MoE model with a native 1M-token context, trained entirely on domestic AI ASIC ...
Sparse matrices, which are common in scientific applications, are matrices in which most elements are zero. To save space and running time it is critical to only store the nonzero elements. A standard ...
Hamburg's Congress Center (CCH) opens its doors today to the global high-performance computing community as ISC High Performance 2026 begins its five-day run through June 26. Now in its 41st year, ISC ...
Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...
This package uses the Matrix package as well as standard base R to generate Markov traces for models of successive tunnel states. Within a given health state, patients can do one of three things: This ...
[2026-07] MultiMax is now integrated into PaddleFleet, the large-scale distributed training framework by PaddlePaddle. Key highlights of the integration: Optimizer: Use Adam (or AdamW) for MultiMax ...
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