Search Results for author: Brian Crafton

Found 3 papers, 1 papers with code

Counting Cards: Exploiting Variance and Data Distributions for Robust Compute In-Memory

no code implementations4 Jun 2020 Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury

Compute in-memory (CIM) is a promising technique that minimizes data transport, the primary performance bottleneck and energy cost of most data intensive applications.

Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices

no code implementations9 Nov 2019 Foroozan Karimzadeh, Ningyuan Cao, Brian Crafton, Justin Romberg, Arijit Raychowdhury

Deep neural networks (DNNs) have been emerged as the state-of-the-art algorithms in broad range of applications.

Direct Feedback Alignment with Sparse Connections for Local Learning

1 code implementation30 Jan 2019 Brian Crafton, Abhinav Parihar, Evan Gebhardt, Arijit Raychowdhury

Using a sparse feedback matrix, we show that a neuron needs only a fraction of the information previously used by the feedback alignment algorithms.

Cannot find the paper you are looking for? You can Submit a new open access paper.