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.

Circuit IR Compilers and Tools

Machine learning on FPGAs using HLS

User space mappable dma buffer device driver for Linux.

My Vim configuration more Python, Javascript, Vue.js, Golang and Markdown, will add Haskell, Ruby and C/C++

Tutorial notebooks for hls4ml

Verilog/SystemVerilog Syntax and Omni-completion

Simple benchmark for memory throughput and latency

Embedded Scalable Platforms: Heterogeneous SoC architecture and IP integration made easy

QICK: Quantum Instrumentation Control Kit

Open-source FPGA research and prototyping framework.

CRYLOGGER: Detecting Crypto Misuses for Android and Java Apps Dynamically

Raspberry Pi v2 camera (IMX219) to DisplayPort of Ultra96-V2 board through PL

I2C models for cocotb

HLS for Networks-on-Chip

ESI is an FPGA connectivity system. It uses typed, latency-insensitive on-chip connections between ESI-enabled modules. It also bridges off-chip and creates high-level APIs using the type data.

Mini-ERA is a simplified still-representative version of the main ERA workload.

Machine learning on FPGAs using HLS

Repository for the paper "Neural network accelerator for quantum control" https://arxiv.org/abs/2208.02645

Cycle accurate simulator written in Elixir

SunFounder_TB6612