Stars
Diagrams for visualizing neural network architecture (Created with diagrams.net)
An Agile RISC-V SoC Design Framework with in-order cores, out-of-order cores, accelerators, and more
Chisel implementation of the NVIDIA Deep Learning Accelerator (NVDLA), with self-driving accelerated
nvdla / firesim-nvdla
Forked from CSL-KU/firesim-nvdlaFireSim-NVDLA: NVIDIA Deep Learning Accelerator (NVDLA) Integrated with RISC-V Rocket Chip SoC Running on the Amazon FPGA Cloud
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
List of awesome open source hardware tools, generators, and reusable designs
Tengine is a lite, high performance, modular inference engine for embedded device
AXI SystemVerilog synthesizable IP modules and verification infrastructure for high-performance on-chip communication
Common SystemVerilog components
An open source, parameterized SystemVerilog digital hardware IP library
Verible is a suite of SystemVerilog developer tools, including a parser, style-linter, formatter and language server
hardware design of universal NPU(CNN accelerator) for various convolution neural network
Implementation of an NPU that can be integrated into a RISC- V core through X-Interface.
Microarchitecture implementation of the decoupled vector-fetch accelerator
A higher-level Neural Network library for microcontrollers.
AZPR cpu.《CPU自制入门》附录的Verilog代码,其中的日文注释翻译成了中文。
muRISCV-NN is a collection of efficient deep learning kernels for embedded platforms and microcontrollers.
This repository is a lightweight runtime for RISC-V utility.