{"product_id":"reram-based-machine-learning-hao-yu-9781839530814","title":"Reram-Based Machine Learning","description":"\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\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Hao Yu, Leibin Ni, Sai Manoj Pudukotai Dinakarrao\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1839530812\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781839530814\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Institution of Engineering \u0026amp; Technology\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/30\/2021\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 261\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.19lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.40h x 6.30w x 0.70d","brand":"Hao Yu","offers":[{"title":"Hardcover","offer_id":43993520079103,"sku":"9781839530814","price":150.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_8995613c-145c-410d-bfdb-d990183dffae.jpg?v=1683324788","url":"https:\/\/www.whiterainbookhouse.com\/products\/reram-based-machine-learning-hao-yu-9781839530814","provider":"WR Book House","version":"1.0","type":"link"}