Abstract: Deep learning (DL) accelerators are optimized for standard convolution. However, lightweight convolutional neural networks (CNNs) use depthwise convolution (DwC) in key layers, and the ...
NVIDIA introduces nvMatmulHeuristics to streamline GEMM kernel tuning, reducing time and improving performance on GPUs, integrated with CUTLASS 4.2. NVIDIA has unveiled a new approach to optimize ...
The UK has created a new market-maker category for its government bonds, aimed at banks looking to take on less onerous requirements than fully-fledged dealers. Bank of Montreal and Toronto-Dominion ...
When I use quantized::conv2d in my model I noticed that a quantized convolution layer still keeps its scale parameter as a floating-point value. I think this scale is used to requantize the ...
A new technical paper titled “e-GPU: An Open-Source and Configurable RISC-V Graphic Processing Unit for TinyAI Applications” was published by researchers at EPFL. “Graphics processing units (GPUs) ...
Efficient matrix multiplications remain a critical component in modern deep learning and high-performance computing. As models become increasingly complex, conventional approaches to General Matrix ...
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