Titlebook: Deep In-memory Architectures for Machine Learning; Mingu Kang,Sujan Gonugondla,Naresh R. Shanbhag Book 2020 Springer Nature Switzerland AG

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DIMA Prototype Integrated Circuits,is a multi-functional DIMA that implements four different machine learning algorithms—the support vector machine (SVM), template matching (TM), .-nearest neighbor (.-NN), and matched filter (MF), thereby demonstrating DIMA’s versatility. The second IC implements the random forest (RF) algorithm whic

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PROMISE: A DIMA-Based Accelerator,nts a DIMA-based accelerator called PROMISE, which realizes a high level of programmability for diverse ML algorithms without noticeably losing the efficiency of mixed-signal accelerators for specific ML algorithms. PROMISE exposes instruction set mechanisms that allow software control over energy-v

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Hasso Plattner,Christoph Meinel,Larry Leiferficiency of mixed-signal accelerators for specific ML algorithms. PROMISE exposes instruction set mechanisms that allow software control over energy-vs-accuracy trade-offs, and supports compilation of high-level languages down to the hardware.

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Book 2020y trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware..