MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis

MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis

<italic>Time Series Analysis</italic> (<italic>TSA</italic>) is a critical workload to extract valuable information from collections of sequential data, e.g., detecting anomalies in electrocardiograms. Subsequence Dynamic Time Warping (sDTW) is the state-of-the-art algorithm...

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Bibliographic Details
Main Authors: Ivan Fernandez, Christina Giannoula, Aditya Manglik, Ricardo Quislant, Nika Mansouri Ghiasi, Juan Gomez-Luna, Eladio Gutierrez, Oscar Plata, Onur Mutlu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Time series analysis
processing-using-memory
memory-bound
emerging technologies
Online Access:https://ieeexplore.ieee.org/document/10458946/

Internet

https://ieeexplore.ieee.org/document/10458946/

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