A Data Prefetcher-Based 1000-Core RISC-V Processor for Efficient Processing of Graph Neural Networks
Abstract: Graphs-based neural networks have seen tremendous adoption to perform complex predictive analytics on massive real-world graphs. The trend in hardware acceleration has identified significant ...
Abstract: Tiny AI-edge devices use nvCIM for power-off weight storage and active-mode computation, enabling high energy efficiency (EF) and low power-on latency. While tiny Transformer models offer ...
AMD's new FSR 4.1 INT8 upscaler gives RDNA 3 GPUs a massive image quality upgrade. We examine visual quality, performance, ...
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