8 citations · 10 across the 4 of their papers we have counts for
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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★ 1 cited
GateSeeder: Near-memory CPU-FPGA Acceleration of Short and Long Read Mapping
Julien Eudine, Mohammed Alser, Gagandeep Singh +2
Motivation: Read mapping is a computationally expensive process and a major bottleneck in genomics analyses. The performance of read mapping is mainly limited by the performance of…