Foundation model for weather & climate

nnScaler: Compiling DNN models for Parallel Training

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction (NIPS'24)

A Easy-to-understand TensorOp Matmul Tutorial

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

r2e: turn any github repository into a programming agent environment

Vitis Libraries

Hardware Acceleration of Long Read Pairwise Overlapping in Genome Sequencing: Open Source Repository

MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)

ICCAD'23 Best Paper Award candidate: Robust GNN-based Representation Learning for HLS

Allo: A Programming Model for Composable Accelerator Design

XLS: Accelerated HW Synthesis

A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture

Hands-On Practical MLIR Tutorial

Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set

DAC'22 paper: "Automated Accelerator Optimization Aided by Graph Neural Networks"

A playbook for systematically maximizing the performance of deep learning models.

An OpenQASM source-to-source Compiler.

Code base for OOPSLA'24 paper: UniSparse: An Intermediate Language for General Sparse Format Customization

JSON for Modern C++

An analytical framework that models hardware dataflow of tensor applications on spatial architectures using the relation-centric notation.