cornell-zhang/GARNET

Stars
33
Rank 783,877 (Top 16 %)
Language
Python
License
BSD 3-Clause "New...
Created almost 2 years ago
Updated about 1 year ago

cornell-zhang/GARNET

cornell-zhang

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks

heterocl

HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing

bnn-fpga

Binarized Convolutional Neural Networks on Software-Programmable FPGAs

rosetta

Rosetta: A Realistic High-level Synthesis Benchmark Suite for Software Programmable FPGAs

allo

Allo: A Programming Model for Composable Accelerator Design

GraphZoom

GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding

dnn-quant-ocs

DNN quantization with outlier channel splitting

FracBNN

FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations

HiSparse

High-Performance Sparse Linear Algebra on HBM-Equipped FPGAs Using HLS

dnn-gating

Conditional channel- and precision-pruning on neural networks

GraphLily

A graph linear algebra overlay

facedetect-fpga

hcl-dialect

HeteroCL-MLIR dialect for accelerator design

UniSparse

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

Polynormer

Polynormer: Polynomial-Expressive Graph Transformer in Linear Time

quickest

QuickEst repository: Quick Estimation of Quality of Results

uptune

A Generic Distributed Auto-Tuning Infrastructure

HOGA

Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits

llm-datatypes

Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs

datuner

DATuner Repository

allo-pldi24-artifact

Artifact evaluation of PLDI'24 paper "Allo: A Programming Model for Composable Accelerator Design"

GLAIVE

Graph-learning assisted instruction vulnerability estimation published in DATE 2020

tutorial-fccm21

catalyst2018