首页> 外文期刊>Proceedings of the IEEE >Nonsilicon, Non-von Neumann Computing—Part I [Scanning the Issue]
【24h】

Nonsilicon, Non-von Neumann Computing—Part I [Scanning the Issue]

机译:非硅,非冯·诺依曼计算-第一部分[扫描问题]

获取原文
获取原文并翻译 | 示例
           

摘要

The future of computing is at crossroads. The technological advances that have sustained the exponential growth of computing performance over the last several decades are slowing and the roadmap for future advances is uncertain. The phenomenal expansion of computing power has made computers ubiquitous, spawned a $300 billion semiconductor industry, enabled unprecedented global economic growth, and transformed many aspects of society at large. Emerging technologies are placing an ever-growing and changing demand on computing, especially the profusion of data from the Internet of Things, large-scale scientific experiments (high-energy physics, astronomy, and genomics), autonomous vehicles, social media (including video), national security systems, and the finance sector. Transmitting, storing, processing, and analyzing this data explosion with the requisite speed and performance—and enabling significant processing and analysis to occur locally or at network nodes (i.e., edge computing)—may require a radical departure from the traditional computing paradigm of von Neumann computing architectures running on CMOS-based digital logic. New paradigms will likely require a range of new devices, software, design and simulation tools, and benchmarking, and may ultimately require rethinking the tasks that computing machines undertake. Recently, government, industry, and academia collectively have recognized that the future of computing requires a new, multidisciplinary research and development agenda.
机译:计算的未来正处于十字路口。在过去的几十年中,持续保持计算性能指数级增长的技术进步正在放缓,未来发展的路线图也不确定。计算能力的惊人增长使计算机无处不在,催生了3000亿美元的半导体产业,实现了前所未有的全球经济增长,并改变了整个社会的许多方面。新兴技术对计算的需求不断增长和变化,尤其是来自物联网,大规模科学实验(高能物理,天文学和基因组学),自动驾驶汽车,社交媒体(包括视频)的大量数据),国家安全系统和金融部门。以所需的速度和性能传输,存储,处理和分析此数据爆炸,并允许在本地或网络节点(即边缘计算)进行大量处理和分析,可能需要与von的传统计算范例完全不同在基于CMOS的数字逻辑上运行的Neumann计算架构。新范例可能需要一系列新设备,软件,设计和仿真工具以及基准测试,并且最终可能需要重新考虑计算机所承担的任务。最近,政府,工业界和学术界共同认识到,计算的未来需要新的,多学科的研发议程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号