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MIXED-PRECISION NEURAL PROCESSING UNIT (NPU) USING SPATIAL FUSION WITH LOAD BALANCING

机译:使用带负载平衡的空间融合的混合精密神经处理单元(NPU)

摘要

According to one general aspect, an apparatus may include a machine learning system. The machine learning system may include a precision determination circuit configured to: determine a precision level of data, and divide the data into a data subdivision. The machine learning system may exploit sparsity during the computation of each subdivision. The machine learning system may include a load balancing circuit configured to select a load balancing technique, wherein the load balancing technique includes alternately loading the computation circuit with at least a first data/weight subdivision combination and a second data/weight subdivision combination. The load balancing circuit may be configured to load a computation circuit with a selected data subdivision and a selected weight subdivision based, at least in part, upon the load balancing technique. The machine learning system may include a computation circuit configured to compute a partial computation result based, at least in part, upon the selected data subdivision and the weight subdivision.
机译:根据一个一般方面,装置可以包括机器学习系统。机器学习系统可以包括配置为:确定数据的精确度级别,并将数据划分为数据细分。机器学习系统可以在每个细分的计算期间利用稀疏性。机器学习系统可以包括负载平衡电路,该负载平衡电路被配置为选择负载平衡技术,其中负载平衡技术包括交替地加载至少第一数据/权重细胞组合和第二数据/权重细胞组合的计算电路。负载平衡电路可以被配置为至少部分地基于负载平衡技术将具有所选数据细分的计算电路和所选权重细分的计算电路。机器学习系统可以包括计算电路,该计算电路被配置为至少部分地基于所选择的数据细分和权重细分来计算部分计算结果。

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