bk174 Goto Github PK

-neural-networks-and-neuromophic-computing-on-silicon

My name is Fang Biao. I'm currently pursuing my Master degree with the college of Computer Science and Engineering, Si Chuan University, Cheng Du, China. For more informantion about me and my research, you can go to [my homepage](https://github.com/hisrg). One of my research interests is architecture design for deep learning and neuromorphic computing. This is an exciting field where fresh ideas come out every day, so I'm collecting works on related topics. Welcome to join us!

3d_neurosim_v1.0

Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration

ascent

basic-simd-processor-verilog-tutorial

Implementation of a simple SIMD processor in Verilog, core of which is a 16-bit SIMD ALU. 2's compliment calculations are implemented in this ALU. The ALU operation will take two clocks. The first clock cycle will be used to load values into the registers. The second will be for performing the operations. 6-bit opcodes are used to select the functions. The instruction code, including the opcode, will be 18-bit.

dnn_neurosim_v1.3

Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)

dnn_neurosim_v2.1

Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)

eyerissf

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

mflowgen

mflowgen -- A Modular ASIC/FPGA Flow Generator

opensparc

optoelectronic

plusdatascience

Materials for +DataScience In-Person Learning Experiences (IPLEs)

timeloop