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Applying neural networks to performance estimation of embedded software

  • Published:2008-01 Issue:1-2 Volume:54 Page:224-240
  • ISSN:1383-7621
  • Container-title:Journal of Systems Architecture
  • language:en
  • Short-container-title:Journal of Systems Architecture

Author:

Oyamada Marcio Seiji,Zschornack Felipe,Wagner Flávio Rech

Publisher

Elsevier BV

Subject

Hardware and Architecture,Software

Reference26 articles.

1. Analog Devices, VisualDSP++ 3.5 for 16-bit Processors, .

2. Software performance estimation strategies in a system-level design tool;Bammi,2000

3. CACO-PS: a general purpose cycle-accurate configurable power simulator;Beck,2003

4. Performance analysis with confidence intervals for embedded software processes;Bjuréus,2001

5. A data analysis method for software performance prediction;Bontempi,2002

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1. Efficient ML-Based Performance Estimation Approach Across Different Microarchitectures for RISC-V Processors;2023 26th Euromicro Conference on Digital System Design (DSD);2023-09-06

2. ANN-based Performance Estimation of Embedded Software for RISC-V Processors;2022 IEEE International Workshop on Rapid System Prototyping (RSP);2022-10-13

3. Early Performance Estimation of Embedded Software on RISC-V Processor using Linear Regression;2022 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS);2022-04-06

4. Optimization of MLP Neural Networks in 8-bit Microcontrollers using Program Memory;2021 International Joint Conference on Neural Networks (IJCNN);2021-07-18

5. Real-time Neural Networks Implementation Proposal for Microcontrollers;Electronics;2020-09-29
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