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Memory management (Computer science)

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Computer storage devices. --- Computer memory systems --- Computers --- Electronic digital computers --- Storage devices, Computer --- Computer input-output equipment --- Memory management (Computer science) --- Memory systems --- Storage devices

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This book defines and explores the problem of placing the instances of dynamic data types on the components of the heterogeneous memory organization of an embedded system, with the final goal of reducing energy consumption and improving performance. It is one of the first to cover the problem of placement for dynamic data objects on embedded systems with heterogeneous memory architectures, presenting a complete methodology that can be easily adapted to real cases and work flows. The authors discuss how to improve system performance and energy consumption simultaneously. Discusses the problem of placement for dynamic data objects on embedded systems with heterogeneous memory architectures; Presents a complete methodology that can be adapted easily to real cases and work flows; Offers hints on how to improve system performance and energy consumption simultaneously.

Electronic circuits. --- Microprocessors. --- Electronics. --- Microelectronics. --- Circuits and Systems. --- Processor Architectures. --- Electronics and Microelectronics, Instrumentation. --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Electrical engineering --- Physical sciences --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Memory management (Computer science) --- Management of computer memory --- Computer storage devices --- Loop tiling (Computer science)

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This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy 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. Describes deep in-memory architectures for AI systems from first principles, covering both circuit design and architectures; Discusses how DIMAs pushes the limits of energy-delay product of decision-making machines via its intrinsic energy-SNR trade-off; Offers readers a unique Shannon-inspired perspective to understand the system-level energy-accuracy trade-off and robustness in such architectures; Illustrates principles and design methods via case studies of actual integrated circuit prototypes with measured results in the laboratory; Presents DIMA's various models to evaluate DIMA's decision-making accuracy, energy, and latency trade-offs with various design parameter.

Electronic circuits. --- Computer engineering. --- Internet of things. --- Embedded computer systems. --- Microprocessors. --- Circuits and Systems. --- Cyber-physical systems, IoT. --- Processor Architectures. --- Minicomputers --- Embedded systems (Computer systems) --- Computer systems --- Architecture Analysis and Design Language --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Computers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Design and construction --- Computer storage devices. --- Computer memory systems --- Electronic digital computers --- Storage devices, Computer --- Computer input-output equipment --- Memory management (Computer science) --- Memory systems --- Storage devices