情报高级研究项目活动高级图形智能逻辑运算环境计划：重塑计算

IF 1.8 4区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computing in Science & Engineering Pub Date : 2024-02-15 DOI:10.1109/mcse.2023.3332321

William J. Harrod

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引用次数: 0

摘要

我们迫切需要新的以数据为中心的架构，以优化知识发现和分析。本文介绍了情报高级研究项目活动的高级图形智能逻辑运算环境计划，这是通过开创专为数据处理和移动量身定制的新型软硬件协同设计来催化计算革命的第一步。该计划的目标是通过高效、可扩展的系统，同时兼顾数据密集型和计算密集型工作负载，为所有领域的变革性应用提供支持。要实现这一愿景，就必须继续研究以数据为优先的组件、原型和架构设计原则。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Intelligence Advanced Research Projects Activity Advanced Graph Intelligent Logical Computing Environment Program: Reinventing Computing

New data-centric architectures optimized for knowledge discovery and analytics are urgently required. This article describes the Intelligence Advanced Research Projects Activity’s Advanced Graph Intelligent Logical Computing Environment program, the first step toward catalyzing a computing revolution by pioneering new hardware and software co-designs tailored for data handling and movement. The goal is to empower transformative applications across all fields through efficient, scalable systems balanced for both data-intensive and compute-intensive workloads. Realizing this vision demands continued research into components, prototypes, and architectural design principles that place priority on the data.

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来源期刊

Computing in Science & Engineering 工程技术-计算机：跨学科应用

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Physics, medicine, astronomy -- these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering presents scientific and computational contributions in a clear and accessible format. The computational and data-centric problems faced by scientists and engineers transcend disciplines. There is a need to share knowledge of algorithms, software, and architectures, and to transmit lessons-learned to a broad scientific audience. CiSE is a cross-disciplinary, international publication that meets this need by presenting contributions of high interest and educational value from a variety of fields, including—but not limited to—physics, biology, chemistry, and astronomy. CiSE emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques. CiSE publishes peer-reviewed research articles, and also runs departments spanning news and analyses, topical reviews, tutorials, case studies, and more.