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Yuning Li's Projects

ara icon ara

The PULP Ara is a 64-bit Vector Unit, compatible with the RISC-V Vector Extension Version 1.0, working as a coprocessor to CORE-V's CVA6 core

axi icon axi

AXI SystemVerilog synthesizable IP modules and verification infrastructure for high-performance on-chip communication

bithesis icon bithesis

📖 北京理工大学非官方 LaTeX 模板集合,包含本科、研究生毕业设计模板及更多。🎉 (更多文档请访问 wiki 和 release 中的手册)

clacc icon clacc

Deep Learning Accelerator (Convolution Neural Networks)

cnn-fpga icon cnn-fpga

使用Verilog实现的CNN模块,可以方便的在FPGA项目中使用

core-v-mcu icon core-v-mcu

This is the CORE-V MCU project, hosting CORE-V's embedded-class cores.

core-v-xif icon core-v-xif

RISC-V eXtension interface that provides a generalized framework suitable to implement custom coprocessors and ISA extensions

cv32e40p icon cv32e40p

CV32E40P is an in-order 4-stage RISC-V RV32IMFCXpulp CPU based on RI5CY from PULP-Platform

cv32e40x icon cv32e40x

4 stage, in-order, compute RISC-V core based on the CV32E40P

cva6 icon cva6

The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux

es203-coa-cnn icon es203-coa-cnn

ES-203 Computer Organization & Architecture CNN on FPGA board

external-attention-tensorflow icon external-attention-tensorflow

🍀 Tensorflow implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

eyerissf icon eyerissf

An Eyeriss Chip (researched by MIT, a CNN accelerator) simulator and New DNN framework "Hive"

fft icon fft

Hardware implementation of a Fixed Point Recursive Forward and Inverse FFT algorithm

fpga-cnn icon fpga-cnn

FPGA implementation of Cellular Neural Network (CNN)

fpga-ddr-sdram icon fpga-ddr-sdram

An AXI4-based DDR1 controller to realize mass, cheap memory for FPGA. 基于FPGA的DDR1控制器,为低端FPGA嵌入式系统提供廉价、大容量的存储。

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