株式会社極東書店トップ ＞ 商品一覧 ＞ Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices. 2023 ed.
商品詳細
Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices. 2023 ed.
・ISBN 978-3-031-18601-1 paper EUR 79.99
￥21,380.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Abich, Geancarlo / Ost, Luciano / Reis, Ricardo, |
|---|---|
| シリーズ | (Synthesis Lectures on Engineering, Science, and Technology) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 131 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-13173＞ |
解説
This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, optimization parameters, and processor models. The authors also evaluate the relative performance, memory utilization, and soft error reliability trade-offs analysis of different CNN models considering a compiler-based technique w.r.t. traditional redundancy approaches.