Convolution-with-AVX

Implementation of AlexNet with 2D Convolution operation for Neural Networks using Intel x86(i368)/x86-6(amd64) AVX-256 instructions. All data flow methods, i.e input stationary, weight stationary and output stationary are implemented. Course Assignment.

x86

View on GitHub

4 Stars

1 Forks

4 Watchers

C++ Language

71 SrcLog Score

Cost to Build

$60.9K

Market Value

$35.4K

How is this calculated?

Growth over time

7 data points · 2021-07-01 → 2026-04-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about Convolution-with-AVX

Question copied to clipboard

What is the Sooryakiran/Convolution-with-AVX GitHub project? Description: "Implementation of AlexNet with 2D Convolution operation for Neural Networks using Intel x86(i368)/x86-6(amd64) AVX-256 instructions. All data flow methods, i.e input stationary, weight stationary and output stationary are implemented. Course Assignment.". Written in C++. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Convolution-with-AVX

Clone via HTTPS

git clone https://github.com/Sooryakiran/Convolution-with-AVX.git

Clone via SSH

[email protected]:Sooryakiran/Convolution-with-AVX.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Convolution-with-AVX issue tracker:

Open GitHub Issues

Similar to Convolution-with-AVX

x64dbg RE-for-beginners reactos v86 capstone plasma unicorn asmjit mcsema barf-project VisualMASM edb-debugger keystone SmallerC bap rappel reicast-emulator likwid steed keypatch x86-assembly-cheat reverse-engineering-reference-manual cross arm_now FlingOS mnist-android-tensorflow y86 The_Holy_Book_of_X86 mini-c WinREPL