This paper describes the ARGUS prototype, a high-density, low-power supercomputer built from an IXIA network analyzer chassis and load modules. The prototype is configured as a diskless distributedsystem that is scal...
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This paper describes the ARGUS prototype, a high-density, low-power supercomputer built from an IXIA network analyzer chassis and load modules. The prototype is configured as a diskless distributedsystem that is scalable to 128 processors in a single 9U chassis. The entire system has a footprint of 0.25 m(2) (2.5 ft(2)), a volume of 0.09 m(3) (3.3 ft(3)) and maximum power consumption of less than 2200 W. We compare and contrast the characteristics of ARGUS against various machines including our on-site 32-node Beowulf and LANL's Green Destiny. Our results show that the computing density (Gflops ft(-3)) of ARGUS is about 30 times higher than that of the Beowulf and about three times higher than that of Green Destiny with a comparable performance. Copyright (c) 2006 John Wiley & Sons, Ltd.
The Kohonen self-organizing map (SOM) is an important tool to find a mapping from high-dimensional space to low dimensional space. The time a SOM requires increases with the number of neurons. A parallel implementatio...
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The Kohonen self-organizing map (SOM) is an important tool to find a mapping from high-dimensional space to low dimensional space. The time a SOM requires increases with the number of neurons. A parallel implementation of the algorithm can make it faster. This paper investigates the most recent parallel algorithms on SOMs. Using Java network programming utilities, improved parallel and distributed system are set up to simulate these algorithms. From the simulations, we conclude that those algorithms form good feature maps.
This article presents a method and a tool for estimating a global time base from local event traces. These event traces result from monitoring parallel and distributed systems of arbitrary topology, where the processo...
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ISBN:
(纸本)0818683325
This article presents a method and a tool for estimating a global time base from local event traces. These event traces result from monitoring parallel and distributed systems of arbitrary topology, where the processors are working on a common application, The method relies on stability properties of physical clocks and on the causality relationships of cooperating processes. The tool copes with arbitrary communication structures, event trace formats, and any number of different clocks.
This paper demonstrates the use of a model-based evaluation approach for instrumentation systems (ISs). The overall objective of this study is to provide early feedback to tool developers regarding IS overhead and per...
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This paper demonstrates the use of a model-based evaluation approach for instrumentation systems (ISs). The overall objective of this study is to provide early feedback to tool developers regarding IS overhead and performance;such feedback helps developers make appropriate design decisions about alternative system configurations and task scheduling policies. We consider three types of system architectures: network of workstations (NOW), symmetric multiprocessors (SMP), and massively parallel processing (MPP) systems. We develop a Resource OCCupancy (ROCC) model for an on-line IS for an existing tool and parameterize it for an IBM SP-2 platform. This model is simulated to answer several 'what if' questions regarding two policies to schedule instrumentation data forwarding: collect-and-forward (CF) and batch-and-forward (BF). In addition, this study investigates two alternatives for forwarding the instrumentation data: direct and binary tree forwarding for an MPP system. Simulation results indicate that the BF policy can significantly reduce the overhead and that the tree forwarding configuration exhibits desirable scalability characteristics for MPP systems. Initial measurement-based testing results indicate more than 60 percent reduction in the direct IS overhead when the BF policy was added to Paradyn parallel performance measurement tool.
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