For gpt2-small (d=768, 12 layers), MAC utilization holds around 33% all the way up to N=256, reaching 63,788 tokens/s at N=256 / 400 MHz. For gpt2-nano (d=128, 4 layers), utilization starts collapsing ...
A technical paper titled “Analyzing and Improving Hardware Modeling of Accel-Sim” was published by researchers at Universitat Politècnica de Catalunya. “GPU architectures have become popular for ...
atomr-accel-py exposes the atomr-accel actor system to Python so downstream libraries (PyTorch-adjacent runtimes, data pipelines, research notebooks) can drive CUDA through the same supervision / ...
Abstract: Computer architects need to choose the design configurations which will work effectively across most commonly used workloads. Design space exploration of caches enables the architect to ...
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