Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Enhancing Endurance of Non Volatile Memory in Embedded Systems

Enhancing Endurance of Non Volatile Memory in Embedded Systems

J. P., Shritharanyaa
R, Saravana Kumar

Paperback

Technology & Engineering

ISBN10: 620780483X
ISBN13: 9786207804832
Publisher: LAP Lambert Academic Publishing
Published: Jun 14 2024
Pages: 136
Weight: 0.46
Height: 0.32 Width: 6.00 Depth: 9.00
Language: English
This book is focused on enhancing the endurance of Non-Volatile Random Access Memory (NVRAM) for embedded systems applications. It describes the methodology that combines optimized machine learning algorithms based on workload prediction and data compression techniques to prolong the lifespan of NVRAM. The framework utilizes an Instruction Per Cycle-based Dynamic Pattern Compression model to analyze and compress workloads, as well as a Workload Hybrid Energy Adaptive Learning model to categorize and further compress data for storage. The book provides a solution for improving NVRAM endurance, which is crucial for the performance of embedded devices, by addressing workload prediction and efficient compression.

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