Pcie P2p Communication For The High Performance Heterogeneous Computing System

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Reconfigurable Computing: Architectures, Tools and Applications

Author: Oliver Choy
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-03-02
This book constitutes the refereed proceedings of the 8th International Symposium on Reconfigurable Computing: Architectures, Tools and Applications, ARC 2012, held in Hongkong, China, in March 2012. The 35 revised papers presented, consisting of 25 full papers and 10 poster papers were carefully reviewed and selected from 44 submissions. The topics covered are applied RC design methods and tools, applied RC architectures, applied RC applications and critical issues in applied RC.
Edge Computing Acceleration

Discover the latest advances in computer architecture and software at the dawn of the 5G/6G era In Edge Computing Acceleration from 5G to 6G and Beyond, distinguished researchers Dr. Patrick Hung, Hongwei Kan, and Greg Knopf deliver a comprehensive overview of personal computer architecture and software design usage in the upcoming 5G decade. The authors begin by introducing key components and exploring different hardware acceleration architectures. They move on to discuss 5G data security and data integrity and offer a survey of network virtualization technologies, including accelerated virtualization technologies. The book analyzes 5G/6G system performance, investigating key design considerations and trade-offs and introducing high-level synthesis flow. It concludes with chapters exploring design verification and validation flow, illustrations of 5G applications based on artificial intelligence and other emerging technologies and offering highlights of emerging 6G research and roadmaps. Readers will enjoy the combination of accessible descriptions of new technologies presented side-by-side as a step-by-step guide to designing effective 5G systems. The book also includes: A thorough introduction to key 5G/6G components, including new wireless communication protocols, edge and fog computing, acceleration technologies, IoE architectures, software-designed networks, network function virtualization, and data security Explorations of various hardware acceleration architectures, like FPGA and GPU acceleration architectures Practical discussions of 5G/6G data security, data integrity, and a survey of network virtualization technologies In-depth treatments of 5G/6G system performance, key design considerations, high-level synthesis flow, design verification, and validation flow Perfect for undergraduate and graduate students in programs related to communications technology, engineering, and computer science, Edge Computing Acceleration from 5G to 6G and Beyond is a must-have resource for engineers, programmers, system architects, technical managers, communications business executives, telco operators, and government regulators who regularly interact with cutting-edge communications equipment.
ROCm Deep Dive

"ROCm Deep Dive" "ROCm Deep Dive" is a definitive guide for practitioners and researchers seeking a comprehensive understanding of the Radeon Open Compute (ROCm) platform. The book begins by grounding readers in ROCm's historical evolution, architectural underpinnings, and its distinctive approach to heterogeneous computing, contrasting it with prevailing standards such as CUDA and OpenCL. This foundation is expertly extended to cover practical deployment and tuning across diverse AMD hardware, ensuring developers and systems architects can confidently establish robust environments tailored for high-performance GPU computing. Delving into the technical heart of ROCm, the book unpacks its innovative execution model, advanced memory hierarchies, and the orchestration of compute kernels. Readers are guided through HIP programming, compiler toolchains, and device-specific optimizations—empowering them to port and optimize complex codebases from CUDA while leveraging ROCm's powerful profiling, debugging, and performance modeling tools. Detailed attention is paid to system integration, from kernel drivers to runtime services, highlighting design strategies for secure, efficient, and scalable multi-GPU systems in both on-premises and cloud-based deployments. The book culminates by exploring the vibrant ROCm ecosystem and its trajectory. It features in-depth coverage of core libraries, machine learning acceleration, and distributed computation, personalized for both emerging AI workloads and traditional HPC. Comprehensive chapters address operationalizing ROCm at scale—including containerization, CI/CD pipelines, monitoring, and security hardening—while a forward-looking analysis prepares readers for the next wave of innovation in heterogeneous compute standards, community-driven development, and sustainable coding practices. "ROCm Deep Dive" is an indispensable resource for mastering state-of-the-art, open source GPU computing.