3 papers
cs.AR2024
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…
cs.AR2023
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…
cs.AR2023
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…