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High-Performance Innovation

机译:高性能创新

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摘要

What laboratory tool has made the most difference in research and development? Arguably, it's the personal computer. In the early days of computing, specialized clusters of high-performing processors were often needed for data-intensive tasks. But as chipmakers upheld Moore's Law, desktop machines and even laptops became powerful enough to handle complex design and processing tasks. Personal computers are ubiquitous and indispensible, but often are no longer powerful enough, even for daily research tasks such as processing a Microsoft Excel spreadsheet. Circumstances have conspired to force researchers to seek a better solution. As microprocessor speed has stalled, data volume has exploded. In 2004, according to Dave Turek, vice president of deep computing at IBM Corp., Armonk, N.Y., computer scientists recognized the limits of microprocessor technology and realized the best avenue for more performance was to group large numbers of processors together and leverage strength in numbers. Multi-core was born.
机译:哪种实验室工具在研发方面发挥了最大的作用?可以说是个人计算机。在计算的早期,经常需要高性能处理器的专用集群来处理数据密集型任务。但是随着芯片制造商坚持摩尔定律,台式机甚至笔记本电脑的功能变得强大到足以处理复杂的设计和处理任务。个人计算机无处不在且必不可少,但通常不再具有足够的功能,甚至不能用于日常研究任务,例如处理Microsoft Excel电子表格。各种情况合谋迫使研究人员寻求更好的解决方案。随着微处理器速度的停滞,数据量激增。根据纽约州阿蒙克市IBM公司深度计算副总裁Dave Turek的说法,2004年,计算机科学家认识到微处理器技术的局限性,并意识到提高性能的最佳途径是将大量处理器组合在一起并充分利用处理器的优势。数字。多核诞生了。

著录项

  • 来源
    《R & D》 |2011年第1期|p.8-11|共4页
  • 作者

    Paul Livingstone;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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