Pinned Repositories
allo
Allo: A Programming Model for Composable Accelerator Design
bnn-fpga
Binarized Convolutional Neural Networks on Software-Programmable FPGAs
dnn-gating
Conditional channel- and precision-pruning on neural networks
dnn-quant-ocs
DNN quantization with outlier channel splitting
FracBNN
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
GraphLily
A graph linear algebra overlay
GraphZoom
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
heterocl
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
HiSparse
High-Performance Sparse Linear Algebra on HBM-Equipped FPGAs Using HLS
rosetta
Rosetta: A Realistic High-level Synthesis Benchmark Suite for Software Programmable FPGAs
Cornell Zhang Research Group's Repositories
cornell-zhang/heterocl
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
cornell-zhang/bnn-fpga
Binarized Convolutional Neural Networks on Software-Programmable FPGAs
cornell-zhang/allo
Allo: A Programming Model for Composable Accelerator Design
cornell-zhang/rosetta
Rosetta: A Realistic High-level Synthesis Benchmark Suite for Software Programmable FPGAs
cornell-zhang/GraphZoom
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
cornell-zhang/dnn-quant-ocs
DNN quantization with outlier channel splitting
cornell-zhang/FracBNN
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
cornell-zhang/HiSparse
High-Performance Sparse Linear Algebra on HBM-Equipped FPGAs Using HLS
cornell-zhang/dnn-gating
Conditional channel- and precision-pruning on neural networks
cornell-zhang/GraphLily
A graph linear algebra overlay
cornell-zhang/facedetect-fpga
cornell-zhang/hcl-dialect
HeteroCL-MLIR dialect for accelerator design
cornell-zhang/Polynormer
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
cornell-zhang/GARNET
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
cornell-zhang/UniSparse
Code base for OOPSLA'24 paper: UniSparse: An Intermediate Language for General Sparse Format Customization
cornell-zhang/quickest
QuickEst repository: Quick Estimation of Quality of Results
cornell-zhang/llm-datatypes
Codebase for ICML'24 paper: Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs
cornell-zhang/HOGA
Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
cornell-zhang/uptune
A Generic Distributed Auto-Tuning Infrastructure
cornell-zhang/datuner
DATuner Repository
cornell-zhang/allo-pldi24-artifact
Artifact evaluation of PLDI'24 paper "Allo: A Programming Model for Composable Accelerator Design"
cornell-zhang/GLAIVE
Graph-learning assisted instruction vulnerability estimation published in DATE 2020
cornell-zhang/SPADE
cornell-zhang/bsg_bladerunner
Meta-Repository for Bespoke Silicon Group's Manycore Architecture (A.K.A HammerBlade)
cornell-zhang/Dagger
HW/SW co-designed end-host RPC stack
cornell-zhang/FeatGraph
cornell-zhang/pokebnn
JAX quantization library used for PokeBNN project
cornell-zhang/tutorial-fccm21
cornell-zhang/RapidStream
[FPGA 2022, Best Paper Award] Parallel placement and routing of Vivado HLS dataflow designs.
cornell-zhang/svpp
Mixing HLS and Backend Versions in Vitis