Серия "Synthesis Lectures on Computer Architecture"

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Efficient Processing of Deep Neural...

Vivienne Sze

Efficient Processing of Deep Neural Networks

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This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve...

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Vivienne Sze

Die-stacking Architecture

Yuan Xie

Die-stacking Architecture

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Yuan Xie

Customizable Computing

Yu-Ting Chen

Customizable Computing

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Since the end of Dennard scaling in the early 2000s, improving the energy efficiency of computation has been the main concern of the research community and industry. The large energy efficiency gap between general-purpose processors and application-specific integrated circuits (ASICs) motivates the exploration of customizable architectures, where one can adapt the architecture to the workload. In this Synthesis lecture, we present an overview and introduction of the recent developments on...

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Yu-Ting Chen

Datacenter Design and Management

Benjamin C. Lee

Datacenter Design and Management

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Benjamin C. Lee

Research Infrastructures for Hardwa...

David Brooks

Research Infrastructures for Hardware Accelerators

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David Brooks

A Primer on Compression in the Memo...

Somayeh Sardashti

A Primer on Compression in the Memory Hierarchy

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Somayeh Sardashti

Space-Time Computing with Temporal...

James E. Smith

Space-Time Computing with Temporal Neural Networks

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James E. Smith

Compiling Algorithms for Heterogene...

Steven Bell

Compiling Algorithms for Heterogeneous Systems

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Steven Bell

Principles of Secure Processor Arch...

Jakub Szefer

Principles of Secure Processor Architecture Design

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Jakub Szefer

General-Purpose Graphics Processor...

Tor M. Aamodt

General-Purpose Graphics Processor Architectures

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Tor M. Aamodt

Quantum Computer Systems: Research...

Frederic T. Chong

Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers

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Frederic T. Chong

Deep Learning for Computer Architec...

David Brooks

Deep Learning for Computer Architects

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Machine learning, and specifically deep learning, has been hugely disruptive in many fields of computer science. The success of deep learning techniques in solving notoriously difficult classification and regression problems has resulted in their rapid adoption in solving real-world problems. The emergence of deep learning is widely attributed to a virtuous cycle whereby fundamental advancements in training deeper models were enabled by the availability of massive datasets and high-performance...

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David Brooks

A Primer on Memory Consistency and...

David A. Wood

A Primer on Memory Consistency and Cache Coherence

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Many modern computer systems, including homogeneous and heterogeneous architectures, support shared memory in hardware. In a shared memory system, each of the processor cores may read and write to a single shared address space. For a shared memory machine, the memory consistency model defines the architecturally visible behavior of its memory system. Consistency definitions provide rules about loads and stores (or memory reads and writes) and how they act upon memory. As part of supporting a...

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David A. Wood