Introducing useful research tools
Introducing useful research tools
Benchmark program for inference tasks using neural networks
MLP_NeuroSim_V3.0
(by Prof. Shimeng Yu, Georgia Institute of Technology )
https://github.com/neurosim/MLP_NeuroSim_V3.0
Emulating the online learning/offline classification with MNIST handwritten dataset in a multilayer perceptron (MLP) neural network
DNN_NeuroSim_V2.1
(by Prof. Shimeng Yu, Georgia Institute of Technology )
https://github.com/neurosim/DNN_NeuroSim_V2.1
Emulating the deep neural networks (DNN) inference performance or on-chip training performance on the hardware accelerator
Computational calculation methods (DFT, MD etc.)
Winmostar V11
(by X-Ability Co., Ltd.)
Winmostar serves as an integrated software solution, utilizing programs (solvers) for MO, DFT, and MD calculations as its backend.
Materials Square
(by VirtualLab)
https://www.materialssquare.com/
Materials Square (MatSQ) is a web-based simulation platform that provides an intuitive interface, convenient workflow, and affordable pay-as-you-go cloud server for anyone to use material simulations easily.