Abstract: This research proposes and evaluates a novel approach to optimizing matrix multiplication (MatMul) on Huawei Ascend NPUs, motivated by a key insight: during matrix-vector multiplication ...

Abstract: Matrix multiplication is a critical computational bottleneck in modern Transformer-based AI systems, particularly within the self-attention and Feed-Forward Network (FFN) layers. Among ...

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Nvidia leads in AI with strong growth in data center revenue, expanding into autonomous tech. Alphabet integrates AI across its services and invests heavily in AI chips and infrastructure. Microsoft's ...