no code implementations • 14 Jan 2020 • Masoomeh Jasemi, Shaahin Hessabi, Nader Bagherzadeh
We propose a lightweight scheme where the formation of a data block is changed in such a way that it can tolerate soft errors significantly better than the baseline.
no code implementations • 21 Jan 2019 • Sina Shahhosseini, Ahmad Albaqsami, Masoomeh Jasemi, Nader Bagherzadeh
We evaluated the performance and energy consumption of parallel inference of partitioned models, which showed a 7. 72x speed up of performance and a 2. 73x reduction in the energy used for computing pruned layers of TinyVGG16 in comparison to running the unpruned model on a single accelerator.
1 code implementation • The Journal of Open Source Software 2018 • Sepand Haghighi, Masoomeh Jasemi, Shaahin Hessabi, Alireza Zolanvari
PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters.