Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Testing shows RNGD chips up to 2.25x higher performance per watt than.... five-year-old Nvidia silicon South Korean AI chip ...

In this paper, we propose an over-the-air (OTA)-based approach for distributed matrix-vector multiplications in the context of distributed machine learning (DML). Thanks to OTA computation, the column ...

Description My colleague @WiseAndy and I noticed when converting from an ElementwiseKernel to a Raw kernel that the data layout between the way the two are handling transposed matrices (ie. matrix.T) ...

The performance of traditional sparse matrix multiplication accelerators is typically bounded by memory access due to the poor data locality and irregular memory access. In-memory computing (IMC) is a ...