Efficient System-Level Design Space Exploration for High-Level Synthesis Using Pareto-Optimal Subspace Pruning-Reference-Cited by-同舟云学术

Efficient System-Level Design Space Exploration for High-Level Synthesis Using Pareto-Optimal Subspace Pruning

Published:2023-01-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th Asia and South Pacific Design Automation Conference
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Author:

Liao Yuchao¹,Adegbija Tosiron¹,Lysecky Roman¹

Affiliation:

1. University of Arizona

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3566097.3567841

Reference19 articles.

1. Emmanuel Abidemi Adeniyi , Roseline Oluwaseun Ogundokun, and Joseph Bamidele Awotunde . 2021 . IoMT-based wearable body sensors network healthcare monitoring system. In IoT in healthcare and ambient assisted living. Springer , 103--121. Emmanuel Abidemi Adeniyi, Roseline Oluwaseun Ogundokun, and Joseph Bamidele Awotunde. 2021. IoMT-based wearable body sensors network healthcare monitoring system. In IoT in healthcare and ambient assisted living. Springer, 103--121.

2. ECG-Based Authentication Using Timing-Aware Domain-Specific Architecture

3. Lattice-Traversing Design Space Exploration for High Level Synthesis

4. Effective High-Level Synthesis Design Space Exploration through a Novel Cost Function Formulation

5. Sherlock: A Multi-Objective Design Space Exploration Framework

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