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Optimizing GPU compiler and database system for NVIDIA hardware
CUDA kernel for matrix-matrix multiplication on Nvidia GPUs, using a Hilbert curve to improve L2 cache utilization.
Neuro Matrix Performance Primitives library. Documentation: http://rc-module.github.io/nmpp/
The CORE-V CVA6 is a highly configurable, 6-stage RISC-V core for both application and embedded applications. Application class configurations are capable of booting Linux.
This repository is used to create the Chisel of the RISC-V DSP.
Machine learning on FPGAs using HLS
Open-source high-performance RISC-V processor
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
RISC-V processor emulator written in Rust+WASM
You like pytorch? You like micrograd? You love tinygrad! ❤️
🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
a simulation of a dynamical system of particles
Implementation of TAGE Branch Predictor - currently considered state of the art
Leptonica is an open source library containing software that is broadly useful for image processing and image analysis applications. The official github repository for Leptonica is: danbloomberg/le…
Pluto: An automatic polyhedral parallelizer and locality optimizer
A retargetable MLIR-based machine learning compiler and runtime toolkit.
A modern and intuitive terminal-based text editor
terminal mode directory-oriented tabbed editor shell