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高校结缘Linux集群
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《开放系统世界》 2003年第10期14-16,共3页
9月份,Linux集群的应用成为人们关注的热点。既有IBM与日本最大的国立研究机构——日本国家高级工业科技学院共同建立运算能力超过11万亿次/秒的超级Linux集群计算机,也有曙光使用2000片AMD Opteron芯片与国产Linux制造的整体运算能... 9月份,Linux集群的应用成为人们关注的热点。既有IBM与日本最大的国立研究机构——日本国家高级工业科技学院共同建立运算能力超过11万亿次/秒的超级Linux集群计算机,也有曙光使用2000片AMD Opteron芯片与国产Linux制造的整体运算能力将达到10万亿次/秒的Dawning 4000A集群系统,更有南开大学、北京师范大学都选择建立Llnux集群来推动各自的教学与科研。 展开更多
关键词 LINUX集群 南开大学 北京师范大学 群集系统 分布式计算网格 曙光公司 Dawning 4000A群集系统 超级计算 服务器 生命科学 工业标准技术 开放性
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Frequency-Feedback Based Islanding Detection Algorithm for Micro-Grid 被引量:1
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作者 李永丽 李盛伟 +1 位作者 摆世彬 牛冲宣 《Transactions of Tianjin University》 EI CAS 2008年第2期85-91,共7页
The unintentional islanding of micro-grid may cause negative impacts on distribution loads and distributed generations,so it must be detected within the acceptable duration.In this paper a new islanding detection algo... The unintentional islanding of micro-grid may cause negative impacts on distribution loads and distributed generations,so it must be detected within the acceptable duration.In this paper a new islanding detection algorithm is proposed.This algorithm introduces the frequency feedback method by the reactive power compensation to derive the frequency continuous shift. Accordingly,the islanding can be detected by monitoring the frequency within 0.1 s.The simulation results prove that this algorithm has extremely small non-detection zone,and meanwhile it presents an excellent islanding detection speed as well. 展开更多
关键词 distributed generation MICRO-GRID islanding detection reactive power compensation
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Fast distributed and parallel pre-processing on massive satellite data using grid computing
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作者 Wongoo Lee Yunsoo Choi +1 位作者 Kangryul Shon Jaesoo Kim 《Journal of Central South University》 SCIE EI CAS 2014年第10期3850-3855,共6页
Distributed/parallel-processing system like sun grid engine(SGE) that utilizes multiple nodes/cores is proposed for the faster processing of large sized satellite image data. After verification, distributed process en... Distributed/parallel-processing system like sun grid engine(SGE) that utilizes multiple nodes/cores is proposed for the faster processing of large sized satellite image data. After verification, distributed process environment for pre-processing performance can be improved by up to 560.65% from single processing system. Through this, analysis performance in various fields can be improved, and moreover, near-real time service can be achieved in near future. 展开更多
关键词 satellite data image processing computation intensive computing
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IBM推出世界上Linux超级计算机
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《中国信息导报》 2003年第9期63-63,共1页
关键词 IBM eServer-Linux 超级计算 分布式计算网格
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