公开(公告)号：US08799696B2

公开(公告)日：2014-08-05

申请号：US13706882

申请日：2012-12-06

申请人： International Business Machines Corporation

发明人： Thomas M. Gooding ,  Brant L. Knudson ,  Cory Lappi ,  Ruth J. Poole ,  Andrew T. Tauferner

IPC分类号： G06F1/32

CPC分类号： G06F1/3234 ,  G06F1/206 ,  Y02D10/16

摘要： Power throttling may be used to conserve power and reduce heat in a parallel computing environment. Compute nodes in the parallel computing environment may be organized into groups based on, for example, whether they execute tasks of the same job or receive power from the same converter. Once one of compute nodes in the group detects that a parameter (i.e., temperature, current, power consumption, etc.) has exceeded a first threshold, power throttling on all the nodes in the group may be activated. However, before deactivating power throttling, a plurality of parameters associated with the group of compute nodes may be monitored to ensure they are all below a second threshold. If so, the power throttling for all of the compute nodes is deactivated.

公开(公告)号：US20160011996A1

公开(公告)日：2016-01-14

申请号：US14701371

申请日：2015-04-30

申请人： International Business Machines Corporation

发明人： Sameh Asaad ,  Ralph E. Bellofatto ,  Michael A. Blocksome ,  Matthias A. Blumrich ,  Peter Boyle ,  Jose R. Brunheroto ,  Dong Chen ,  Chen-Yong Cher ,  George L. Chiu ,  Norman Christ ,  Paul W. Coteus ,  Kristan D. Davis ,  Gabor J. Dozsa ,  Alexandre E. Eichenberger ,  Noel A. Eisley ,  Matthew R. Ellavsky ,  Kahn C. Evans ,  Bruce M. Fleischer ,  Thomas W. Fox ,  Alan Gara ,  Mark E. Giampapa ,  Thomas M. Gooding ,  Michael K. Gschwind ,  John A. Gunnels ,  Shawn A. Hall ,  Rudolf A. Haring ,  Philip Heidelberger ,  Todd A. Inglett ,  Brant L. Knudson ,  Gerard V. Kopcsay ,  Sameer Kumar ,  Amith R. Mamidala ,  James A. Marcella ,  Mark G. Megerian ,  Douglas R. Miller ,  Samuel J. Miller ,  Adam J. Muff ,  Michael B. Mundy ,  John K. O'Brien ,  Kathryn M. O'Brien ,  Martin Ohmacht ,  Jeffrey J. Parker ,  Ruth J. Poole ,  Joseph D. Ratterman ,  Valentina Salapura ,  David L. Satterfield ,  Robert M. Senger ,  Burkhard Steinmacher-Burow ,  William M. Stockdell ,  Craig B. Stunkel ,  Krishnan Sugavanam ,  Yutaka Sugawara ,  Todd E. Takken ,  Barry M. Trager ,  James L. Van Oosten ,  Charles D. Wait ,  Robert E. Walkup ,  Alfred T. Watson ,  Robert W. Wisniewski ,  Peng Wu

IPC分类号： G06F13/28 ,  G06F9/38 ,  G06F9/30 ,  G06F15/80 ,  G06F12/08

CPC分类号： G06F13/287 ,  G06F9/06 ,  G06F9/3004 ,  G06F9/30047 ,  G06F9/3885 ,  G06F12/0811 ,  G06F12/0831 ,  G06F12/0862 ,  G06F12/0864 ,  G06F12/1027 ,  G06F15/17381 ,  G06F15/17387 ,  G06F15/76 ,  G06F15/8069 ,  G06F2212/1016 ,  G06F2212/602 ,  G06F2212/6022 ,  G06F2212/6024 ,  G06F2212/6032 ,  Y02D10/13 ,  Y02D10/14

摘要： A Multi-Petascale Highly Efficient Parallel Supercomputer of 100 petaflop-scale includes node architectures based upon System-On-a-Chip technology, where each processing node comprises a single Application Specific Integrated Circuit (ASIC). The ASIC nodes are interconnected by a five dimensional torus network that optimally maximize the throughput of packet communications between nodes and minimize latency. The network implements collective network and a global asynchronous network that provides global barrier and notification functions. Integrated in the node design include a list-based prefetcher. The memory system implements transaction memory, thread level speculation, and multiversioning cache that improves soft error rate at the same time and supports DMA functionality allowing for parallel processing message-passing.

摘要翻译： 100 petaflop规模的多千兆高效并行超级计算机包括基于片上系统技术的节点架构，其中每个处理节点包括单个专用集成电路（ASIC）。 ASIC节点通过五维环面网络互连，最优化节点之间的分组通信的吞吐量并最小化等待时间。 网络实现集体网络和提供全局障碍和通知功能的全球异步网络。 集成在节点设计中包括一个基于列表的预取器。 存储系统实现事务存储器，线程级别推测和多重切换缓存，同时提高软错误率，并支持DMA功能，允许并行处理消息传递。