首页> 外文期刊>IEEE computational science & engineering >The microprocessor for scientific computing in the year 2000
【24h】

The microprocessor for scientific computing in the year 2000

机译:2000年用于科学计算的微处理器

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The future of scientific computing, like the future of all computing, demands higher and higher performance from the computing system. In the author's view, that means exploiting concurrency at all levels of granularity, including the microprocessor. For scientific computing there is much good news. For example, the regularity of scientific computations (although Amdahl's law makes it not as good as it might be) allows for multiple instruction streams operating on behalf of a single process. That works well for the multimicro paradigm, and in fact might further suggest putting the multiprocessor on a single chip. However, the author does not believe the single chip multiprocessor is the answer for high performance scientific computing in the year 2000 for two reasons: system partitioning and pin bandwidth. At the uniprocessor level, scientific code makes the job of the compiler and the job of the microarchitecture easier, and that will translate into greater performance sooner than will be possible with integer code. Instruction and data supply will both be handled jointly by the compiler and the microarchitecture.
机译:与所有计算的未来一样,科学计算的未来也要求计算系统的性能越来越高。在作者看来,这意味着在所有粒度级别(包括微处理器)上利用并发性。对于科学计算,有很多好消息。例如,科学计算的规律性(尽管阿姆达尔定律使它不尽如人意)允许多个指令流代表一个进程运行。这对于Multimicro范例非常有效,并且实际上可能进一步建议将Multiprocessor放在单个芯片上。但是,作者不相信单芯片多处理器是2000年高性能科学计算的答案,这有两个原因:系统分区和引脚带宽。在单处理器级别,科学代码使编译器的工作和微体系结构的工作更加容易,并且与整数代码相比,这将更快地转化为更高的性能。指令和数据提供都将由编译器和微体系结构共同处理。

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