4 papers
High-Performance Data Mapping for BNNs on PCM-based Integrated Photonics
Taha Shahroodi, Raphael Cardoso, Stephan Wong +3
State-of-the-Art (SotA) hardware implementations of Deep Neural Networks (DNNs) incur high latencies and costs. Binary Neural Networks (BNNs) are potential alternative solutions to…
Spin Wave Threshold Gate
Arne Van Zegbroeck, Pantazis Anagnostou, Said Hamdioui +3
While Spin Waves (SW) interaction provides natural support for low power Majority (MAJ) gate implementations many hurdles still exists on the road towards the realization of practi…
Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors
Taha Shahroodi, Gagandeep Singh, Mahdi Zahedi +6
Basecalling, an essential step in many genome analysis studies, relies on large Deep Neural Networks (DNNs) to achieve high accuracy. Unfortunately, these DNNs are computationally…
An In-Memory Architecture for High-Performance Long-Read Pre-Alignment Filtering
Taha Shahroodi, Michael Miao, Joel Lindegger +3
With the recent move towards sequencing of accurate long reads, finding solutions that support efficient analysis of these reads becomes more necessary. The long execution time req…