taoyilee / claccLinks
Deep Learning Accelerator (Convolution Neural Networks)
☆196Updated 8 years ago
Alternatives and similar repositories for clacc
Users that are interested in clacc are comparing it to the libraries listed below
Sorting:
- A SystemVerilog implementation of Row-Stationary dataflow and Hierarchical Mesh Network-on-Chip Architecture based on Eyeriss CNN Acceler…☆178Updated 6 years ago
- ☆124Updated 5 years ago
- Convolutional accelerator kernel, target ASIC & FPGA☆240Updated 2 years ago
- A Flexible and Energy Efficient Accelerator For Sparse Convolution Neural Network☆126Updated 5 months ago
- IC implementation of Systolic Array for TPU☆319Updated last year
- verilog实现TPU中的脉动阵列计算卷积的module☆152Updated 8 months ago
- You can run it on pynq z1. The repository contains the relevant Verilog code, Vivado configuration and C code for sdk testing. The size o…☆222Updated last year
- A FPGA Based CNN accelerator, following Google's TPU V1.☆167Updated 6 years ago
- Convolutional Neural Network Using High Level Synthesis☆90Updated 5 years ago
- FPGA/AES/LeNet/VGG16☆109Updated 7 years ago
- ☆46Updated 5 years ago
- A DNN Accelerator implemented with RTL.☆68Updated last year
- INT8 & FP16 multiplier accumulator (MAC) design with UVM verification completed.☆114Updated 5 years ago
- IC implementation of TPU☆144Updated 6 years ago
- A VGG accelerator by System Verilog on DE1-SoC FPGA. Row Stationary (RS) dataflow is adopted, and computations are based on fixed point 1…☆34Updated 6 years ago
- achieve softmax in PYNQ with heterogeneous computing.☆67Updated 7 years ago
- This is a fully parameterized verilog implementation of computation kernels for accleration of the Inference of Convolutional Neural Netw…☆194Updated last year
- SystemVerilog files for lab project on a DNN hardware accelerator☆18Updated 4 years ago
- An LeNet RTL implement onto FPGA☆51Updated 7 years ago
- This repository hosts the code for an FPGA based accelerator for convolutional neural networks☆177Updated last year
- Deep Learning Accelerator Based on Eyeriss V2 Architecture with custom RISC-V extended instructions☆206Updated 5 years ago
- FPGA-based hardware accelerator for Vision Transformer (ViT), with Hybrid-Grained Pipeline.☆116Updated 11 months ago
- FPGA and GPU acceleration of LeNet5☆35Updated 6 years ago
- 清華大學 | 積體電路設計實驗 (IC LAB) | 110上☆47Updated 3 years ago
- hardware design of universal NPU(CNN accelerator) for various convolution neural network☆160Updated 10 months ago
- CNN-Accelerator based on FPGA developed by verilog HDL.☆48Updated 5 years ago
- Hardware accelerator for convolutional neural networks☆61Updated 3 years ago
- Verilog implementation of Softmax function☆77Updated 3 years ago
- The second place winner for DAC-SDC 2020☆99Updated 3 years ago
- Convolutional Neural Network RTL-level Design☆72Updated 4 years ago