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48917 results in Computer Science

Page 127 of 2446

  • 10 - The Future of Computing: Synergies in Data Management and System Architecture

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 266-269

  • Summary

    The concluding chapter consolidates the key learnings and projects future trends and emerging technologies in the dynamic field of data management and computing. It explores how the convergence of advanced hardware, sophisticated algorithms, and AI-driven solutions is shaping the next frontier of data management and computing. Emphasizing practical implications and future possibilities, this final chapter aims to equip readers with a comprehensive understanding and vision of how these integrated technologies will continue to transform the landscape of computing and data management.

  • 9 - Ray Tracing Hardware in GPUs for Accelerated Computation

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 237-265

  • Summary

    This chapter delves into the transformative world of ray tracing, a technology reshaping computational graphics and data processing. It bridges the gap between advanced graphical rendering and general computational tasks, exploring how ray tracing hardware, originally designed for stunning visual effects, is now being harnessed for diverse applications beyond graphics. The chapter employs Nvidia GPU RT Cores and the OptiX programming framework as conduits to explain ray tracing’s fundamental concepts and practical implementations.

  • 3 - Main Memory: The Physical Space

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 41-81

  • Summary

    This chapter offers a comprehensive examination of main memory, considering both its architectural aspects and its critical role in systems software. The discussion includes the utilization of physical memory addresses as a linkage mechanism, connecting programs in virtual space to their corresponding execution spaces in the cache and main memory. The chapter also presents advancements in CPU and memory products, elucidating their relevance to memory management. Additionally, it introduces the concept of the OS buffer cache and the development of a key–value store at the user level, highlighting their significance in the broader context of data management systems.

  • Analysis and optimization design of motion characteristics for a 3-PUU/R parallel ankle joint rehabilitation mechanism

  • Xuechan Chen, Jianxin Liu, Jin an Dong, Zhouhao Zhang, Yu Guo, Bo Xiao, Ziming Chen
  • Journal:
    Robotica / Volume 42 / Issue 10 / October 2024
    Published online by Cambridge University Press:
    28 November 2024, pp. 3450-3479

  • The large number of patients with ankle injuries and the high incidence make ankle rehabilitation an urgent health problem. However, there is a certain degree of difference between the motion of most ankle rehabilitation robots and the actual axis of the human ankle. To achieve more precise ankle joint rehabilitation training, this paper proposes a novel 3-PUU/R parallel ankle rehabilitation mechanism that integrates with the human ankle joint axis. Moreover, it provides comprehensive ankle joint motion necessary for effective rehabilitation. The mechanism has four degrees of freedom (DOFs), enabling plantarflexion/dorsiflexion, eversion/inversion, internal rotation/external rotation, and dorsal extension of the ankle joint. First, based on the DOFs of the human ankle joint and the variation pattern of the joint axes, a 3-PUU/R parallel ankle joint rehabilitation mechanism is designed. Based on the screw theory, the inverse kinematics inverse, complete Jacobian matrix, singular characteristics, and workspace analysis of the mechanism are conducted. Subsequently, the motion performance of the mechanism is analyzed based on the motion/force transmission indices and the constraint indices. Then, the performance of the mechanism is optimized according to human physiological characteristics, with the motion/force transmission ratio and workspace range as optimization objectives. Finally, a physical prototype of the proposed robot was developed, and experimental tests were performed to evaluate the above performance of the proposed robot. This study provides a good prospect for improving the comfort and safety of ankle joint rehabilitation from the perspective of human-machine axis matching.

  • 6 - GPU Computing: A New Algorithm-to-Architecture Interaction

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 122-166

  • Summary

    Providing a comprehensive introduction to GPU programming and its application in data management, this chapter uses sorting algorithms as a case study. It explores how parallel programming and architecture-oriented performance tuning are integral to unlocking the full potential of GPUs as powerful computing devices. The chapter takes readers through the transformation process of a sequential bubble sorting algorithm into GPU-friendly bitonic sorting and odd–even merging sorting algorithms, illustrating the capabilities and advantages of GPU computing in data management.

Page 127 of 2446