Pinned Repositories
AccDNN
A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.
antares
Antares: an automatic engine for multi-platform kernel generation and optimization. Supporting CPU, CUDA, ROCm, DirectX12, GraphCore, SYCL for CPU/GPU, OpenCL for AMD/NVIDIA, Android CPU/GPU backends.
awesome-real-time-AI
This is a list of awesome edgeAI inference related papers.
edge-ai
A curated list of resources for embedded AI
gemm_spmm
Hardware accelerator for pruned nertworks
How_to_optimize_in_GPU
This is a series of GPU optimization topics. Here we will introduce how to optimize the program on the GPU in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
onnx-simplifier
Simplify your onnx model
SEAsynth
A synthesize-able CNN accelerator based on systolic arrays 🌊
TENNA
TENNA: Tiny Embedded Neural Network Accelerator
xla
A machine learning compiler for GPUs, CPUs, and ML accelerators
Deepware's Repositories
deepware-ai/antares
Antares: an automatic engine for multi-platform kernel generation and optimization. Supporting CPU, CUDA, ROCm, DirectX12, GraphCore, SYCL for CPU/GPU, OpenCL for AMD/NVIDIA, Android CPU/GPU backends.
deepware-ai/awesome-real-time-AI
This is a list of awesome edgeAI inference related papers.
deepware-ai/onnx-simplifier
Simplify your onnx model
deepware-ai/TENNA
TENNA: Tiny Embedded Neural Network Accelerator
deepware-ai/xla
A machine learning compiler for GPUs, CPUs, and ML accelerators
deepware-ai/acceltran
[TCAD'23] AccelTran: A Sparsity-Aware Accelerator for Transformers
deepware-ai/Awesome-Embeded-AI
收集关于嵌入式领域的机器学习算法实现的进展、相关论文和文章、开发库等，帮助初学者快速了解、学习和入门嵌入式领域的机器学习。CC-BY-NC-SA 4.0。
deepware-ai/awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
deepware-ai/BARVINN
BARVINN: A Barrel RISC-V Neural Network Accelerator: https://barvinn.readthedocs.io/en/latest/
deepware-ai/BlockMinifloatMAC
Block minifloat MAC unit for single block GEMM
deepware-ai/braggHLS
PyTorch model to RTL flow for low latency inference
deepware-ai/CHARM
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture (Full Paper accepted to FPGA2023!)
deepware-ai/fpga-snntorch-spike
Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.
deepware-ai/FusedGCN4HLS
Systolic Three Matrix Multiplier for Graph Convolutional Networks using High Level Synthesis
deepware-ai/gamma
deepware-ai/garnet
Next generation CGRA generator
deepware-ai/halutmatmul
Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator
deepware-ai/HiSparse
High-Performance Sparse Linear Algebra on HBM-Equipped FPGAs Using HLS
deepware-ai/iob-versat
Coarse Grained Reconfigurable Array
deepware-ai/Magicube
Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
deepware-ai/neureka
deepware-ai/nitta
NITTA - Tool for Hard Real-Time CGRA Processors
deepware-ai/nngen
NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network
deepware-ai/qonnx
QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
deepware-ai/redmule
deepware-ai/RiscV_CPU_with_Accelerator
A RiscV CPU with an accelerator for accelerating neural networks attached to it
deepware-ai/rknn-toolkit
RKNN from Rockchip
deepware-ai/Sextans
An FPGA accelerator for general-purpose Sparse-Matrix Dense-Matrix Multiplication (SpMM).
deepware-ai/SNN-DSE
Hardware and software implementation of Sparsely-active SNNs
deepware-ai/SNNQuantPrune
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks