Vitis Libraries

This repository contains the code for this paper: Chiplet-Gym: An RL-based Optimization Framework for Chiplet-based AI Accelerator

CIM-MLC is a multi-level compilation stack for computing-in-memory accelerators

Exocompilation for productive programming of hardware accelerators

Source code for the architectural simulator used for modeling the PUD system proposed in our HPCA 2024 paper `MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficie…

LLM Program Watermarking

Advanced Profiling and Analytics for AMD Hardware

MultiPIM: A Detailed and Configurable Multi-Stack Processing-In-Memory Simulator

Processing-In-Memory (PIM) Simulator

Omnitrace: Application Profiling, Tracing, and Analysis

Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)

A lightweight memory allocator for hardware-accelerated machine learning

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

An Open Source Machine Learning Framework for Everyone

A machine learning compiler for GPUs, CPUs, and ML accelerators

InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editin…

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

Inference code for LLaMA models

Inference code for CodeLlama models

Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

PIM Runtime Library and Tools

LaVIT: Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization

[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding