GitHub

MixQ_Tensorrt_LLM /quantkernel /cutlass

Stream-K, which is a new general way to do split-K. It can not only improve performance, but can also significantly reduce the number of tile sizes that need to be profiled to find the best one. Fused ...
IEEE

A Configurable FPGA Accelerator for 2D Convolution with Reduced Memory Footprint using Patch-Based General Matrix-Matrix Multiplication

Abstract: Convolution is considered as the core operation in any Convolutional Neural Network (CNN) model. However, these operations are computationally intensive and have higher latency. This problem ...
GitHub

CHANGELOG.md

Stream-K, which is a new general way to do split-K. It can not only improve performance, but can also significantly reduce the number of tile sizes that need to be profiled to find the best one. Fused ...
IEEE

A Lightweight 2D Projection CNN Framework for MRI-Based Brain Age Prediction

Abstract: Brain age is an important biomarker that quantifies age-related structural changes in the human brain, with the potential for early disease diagnosis and monitoring of healthy aging. However ...