Search Results for author: David Novo

Found 3 papers, 2 papers with code

Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction

1 code implementation1 Sep 2022 Rahul Bera, Konstantinos Kanellopoulos, Shankar Balachandran, David Novo, Ataberk Olgun, Mohammad Sadrosadati, Onur Mutlu

To this end, we propose a new technique called Hermes, whose key idea is to: 1) accurately predict which load requests might go off-chip, and 2) speculatively fetch the data required by the predicted off-chip loads directly from the main memory, while also concurrently accessing the cache hierarchy for such loads.

Fast Exploration of Weight Sharing Opportunities for CNN Compression

no code implementations2 Feb 2021 Etienne Dupuis, David Novo, Ian O'Connor, Alberto Bosio

The computational workload involved in Convolutional Neural Networks (CNNs) is typically out of reach for low-power embedded devices.

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