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Quick answer

LAMP-FPGA: Accelerating Time Series Similarity Prediction is an open source FPGA project from Hackster.io, indexed by ZouIC. Predicting similar patterns in time series data on Ultra96-V2 FPGA board.

Source
Hackster.io
Focus
FPGA
Author
Philip Brisk
Published
2020-12-08

Common questions

What does LAMP-FPGA: Accelerating Time Series Similarity Prediction do?

Predicting similar patterns in time series data on Ultra96-V2 FPGA board.

Where does LAMP-FPGA: Accelerating Time Series Similarity Prediction come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/amin-kalantar/lamp-fpga-accelerating-time-series-similarity-prediction-660432.

What stack does LAMP-FPGA: Accelerating Time Series Similarity Prediction use?

tags AMD Xilinx, tutorial, advanced.

When was LAMP-FPGA: Accelerating Time Series Similarity Prediction published?

The source page lists 2020-12-08.

LAMP-FPGA: Accelerating Time Series Similarity Prediction
Hackster.io All from this source License per the original page fpga

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

LAMP-FPGA: Accelerating Time Series Similarity Prediction

Published 2020-12-08

Predicting similar patterns in time series data on Ultra96-V2 FPGA board

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
advanced
content type
tutorial

Related resources and purchase links

Statistics

respects
10
views
1821

Project Info

Source PlatformHackster.io
Categoryfpga
LicenseLicense per the original page
Views1821
Likes10
Discussions0

Author Info

Philip Brisk
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Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
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