Helix
Author:
Affiliation:
1. Indiana University Bloomington, Bloomington, IN, USA
2. Indiana University - Purdue University Indianapolis, Indianapolis, IN, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3410463.3414626
Reference43 articles.
1. Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks
2. PUMA
3. DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads;Vladim'ir Bovz;PloS one,2017
4. Design of a Low-Voltage Analog-to-Digital Converter Using Voltage-Controlled Stochastic Switching of Low Barrier Nanomagnets
5. NVSim: A Circuit-Level Performance, Energy, and Area Model for Emerging Nonvolatile Memory
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1. Invited: Accelerating Genome Analysis via Algorithm-Architecture Co-Design;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09
2. SieveMem: A Computation-in-Memory Architecture for Fast and Accurate Pre-Alignment;2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2023-07
3. RawHash: Enabling Fast and Accurate Real-Time Analysis of Raw Nanopore Signals for Large Genomes;2023-01-23
4. Efficient Signed Arithmetic Multiplication on Memristor-Based Crossbar;IEEE Access;2023
5. TargetCall: Eliminating the Wasted Computation in Basecalling via Pre-Basecalling Filtering;2022-12-12
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