Abstract: This paper investigates the impact of loop unrolling on CUDA matrix multiplication operations’ performance across NVIDIA GPUs. We benchmarked both basic and unrolled kernels with varying ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient ...

Abstract: Analog computing-in-memory accelerators promise ultra-low-power, on-device AI by reducing data transfer and energy usage. Yet inherent device variations and high energy consumption for ...

The one chip startup building accelerators for something other than AI boasts performance up 10x that of modern GPUs using a ...