Search Results for author:
Found 2 papers, 1 papers with code
The Feasibility of Implementing Large-Scale Transformers on Multi-FPGA Platforms
In this paper, we explore the feasibility of implementing large transformers using multiple FPGAs by developing a scalable multi-FPGA platform and some tools to map large applications to the platform.
Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have gained significant traction in the field of machine learning, particularly due to their high accuracy in visual recognition.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
