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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3. Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28
4. Invited: Accelerating Genome Analysis via Algorithm-Architecture Co-Design;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09
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