{"product_id":"reram-based-machine-learning-9781839530814","title":"Reram-Based Machine Learning","description":"\u003cp\u003e • Author(s): Hao Yu\u003cbr\u003e • Publisher: Institution of Engineering \u0026amp; Technology\u003cbr\u003e • Publisher Imprint: Institution of Engineering \u0026amp; Technology\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe transition towards exascale computing has resulted in major transformations in computing paradigms. The need to analyze and respond to such large amounts of data sets has led to the adoption of machine learning (ML) and deep learning (DL) methods in a wide range of applications.\u003c\/p\u003e \u003cp\u003eOne of the major challenges is the fetching of data from computing memory and writing it back without experiencing a memory-wall bottleneck. To address such concerns, in-memory computing (IMC) and supporting frameworks have been introduced. In-memory computing methods have ultra-low power and high-density embedded storage. Resistive Random-Access Memory (ReRAM) technology seems the most promising IMC solution due to its minimized leakage power, reduced power consumption and smaller hardware footprint, as well as its compatibility with CMOS technology, which is widely used in industry.\u003c\/p\u003e \u003cp\u003eIn this book, the authors introduce ReRAM techniques for performing distributed computing using IMC accelerators, present ReRAM-based IMC architectures that can perform computations of ML and data-intensive applications, as well as strategies to map ML designs onto hardware accelerators.\u003c\/p\u003e \u003cp\u003eThe book serves as a bridge between researchers in the computing domain (algorithm designers for ML and DL) and computing hardware designers.\u003c\/p\u003e","brand":"Institution of Engineering \u0026 Technology","offers":[{"title":"Hardcover","offer_id":45413249351831,"sku":"9781839530814","price":11776.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781839530814.webp?v=1767919143","url":"https:\/\/atlanticbooks.com\/products\/reram-based-machine-learning-9781839530814","provider":"Atlantic Books","version":"1.0","type":"link"}