{"product_id":"9783031185984","title":"Synthesis Lectures on Engineering, Science, and Technology","description":"\u003ch1\u003eSynthesis Lectures on Engineering, Science, and Technology\u003c\/h1\u003e \u003ch2\u003eAbich, Geancarlo; Ost, Luciano; Reis, Ricardo\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2023-01-02\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031185984\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-18599-1\u003c\/p\u003e \u003cp\u003eDimensions: 240cm x168cm\u003c\/p\u003e \u003cp\u003ePages: 131\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":45385619800204,"sku":"9783031185984","price":80.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031185984.jpg?v=1776055434","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783031185984","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}