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.

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

I2C models for cocotb

QICK: Quantum Instrumentation Control Kit

Open-source FPGA research and prototyping framework.

Machine learning on FPGAs using HLS

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

Verilog/SystemVerilog Syntax and Omni-completion

Circuit IR Compilers and Tools

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.

Tutorial notebooks for hls4ml

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

HLS for Networks-on-Chip

SunFounder_TB6612

User space mappable dma buffer device driver for Linux.

Cycle accurate simulator written in Elixir

CRYLOGGER: Detecting Crypto Misuses for Android and Java Apps Dynamically

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

Simple benchmark for memory throughput and latency

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

Machine learning on FPGAs using HLS