This is a simple VLIW based processor written in Verilog. A Python script has also been included to simulate static instruction scheduling.

A basic CS:GO ESP utilising DMA and HDMI-Overlay

MemProcFS

Direct Memory Access (DMA) Attack Software

A high-throughput and memory-efficient inference and serving engine for LLMs

A Rocket-based RISC-V superscalar in-order core

An Agile RISC-V SoC Design Framework with in-order cores, out-of-order cores, accelerators, and more

The PULP Ara is a 64-bit Vector Unit, compatible with the RISC-V Vector Extension Version 1.0, working as a coprocessor to CORE-V's CVA6 core

Chisel RISC-V Vector 1.0 Implementation

Development repository for the Triton language and compiler

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

This repository contains a Vulkan Framework designed to enable developers to get up and running quickly for creating sample content and rapid prototyping. It is designed to be easy to build and hav…

Working Draft of the RISC-V Debug Specification Standard

C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!

C/C++ frontend for MLIR. Also features polyhedral optimizations, parallel optimizations, and more!

DHLS (Dynamic High-Level Synthesis) compiler based on MLIR

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Machine learning compiler based on MLIR for Sophgo TPU.

This repo is for Efinix TinyML platform, which offers end-to-end flow that facilitates TinyML solution deployment on Efinix FPGAs.

An MLIR-based toy DL compiler for TVM Relay.

Next generation CGRA generator

a language for fast, portable data-parallel computation

cocotb, a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python

DPU on PYNQ

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

Hummingbird compiles trained ML models into tensor computation for faster inference.

Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks