Cornell Zhang Research Group (@cornell-zhang)
  • Stars
    star
    1,733
  • Global Org. Rank 10,552 (Top 4 %)
  • Registered about 10 years ago
  • Most used languages
    Python
    54.2 %
    C++
    25.0 %
    MLIR
    4.2 %
    VHDL
    4.2 %
    C
    4.2 %
    HTML
    4.2 %
    LLVM
    4.2 %

Top repositories

1

heterocl

HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
Python
322
star
2

bnn-fpga

Binarized Convolutional Neural Networks on Software-Programmable FPGAs
C
297
star
3

rosetta

Rosetta: A Realistic High-level Synthesis Benchmark Suite for Software Programmable FPGAs
C++
156
star
4

allo

Allo: A Programming Model for Composable Accelerator Design
Python
130
star
5

GraphZoom

GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
Python
112
star
6

dnn-quant-ocs

DNN quantization with outlier channel splitting
Python
109
star
7

FracBNN

FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
Python
87
star
8

HiSparse

High-Performance Sparse Linear Algebra on HBM-Equipped FPGAs Using HLS
C++
79
star
9

dnn-gating

Conditional channel- and precision-pruning on neural networks
Python
72
star
10

GraphLily

A graph linear algebra overlay
C++
48
star
11

facedetect-fpga

C++
43
star
12

hcl-dialect

HeteroCL-MLIR dialect for accelerator design
C++
40
star
13

GARNET

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
Python
33
star
14

UniSparse

Code base for OOPSLA'24 paper: UniSparse: An Intermediate Language for General Sparse Format Customization
MLIR
28
star
15

Polynormer

Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Python
28
star
16

quickest

QuickEst repository: Quick Estimation of Quality of Results
Python
26
star
17

uptune

A Generic Distributed Auto-Tuning Infrastructure
Python
21
star
18

HOGA

Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
Python
21
star
19

llm-datatypes

Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
Python
18
star
20

datuner

DATuner Repository
LLVM
17
star
21

allo-pldi24-artifact

Artifact evaluation of PLDI'24 paper "Allo: A Programming Model for Composable Accelerator Design"
VHDL
14
star
22

GLAIVE

Graph-learning assisted instruction vulnerability estimation published in DATE 2020
C++
13
star
23

tutorial-fccm21

HTML
6
star
24

catalyst2018

Python
3
star