CLUSTER 2003 - PDF Preprint Papers

CLUSTER 2003 IEEE International Conference on Cluster Computing

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CLUSTER
2003
IEEE

265views Distributed And Parallel Com...» more CLUSTER 2003»

"Plug-and-Play" Cluster Computing Using Mac OS X

13 years 9 months ago

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At UCLA's Plasma Physics Group, to achieve accessible computational power for our research goals, we developed the tools to build numerically-intensive parallel computing clu...

Dean E. Dauger, Viktor K. Decyk

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Id	Views	Title	Status

1	265	"Plug-and-Play" Cluster Computing Using Mac OS X	claim
2	186	A General Self-Adaptive Task Scheduling System for Non-Dedicated Heterogeneous Computing	claim
3	165	Coordinated Checkpoint versus Message Log for Fault Tolerant MPI	claim
4	164	A Cluster-Based Solution for High Performance Hmmpfam Using EARTH Execution Model	claim
5	147	Adaptive Grid Resource Brokering	claim
6	147	Application-Bypass Reduction for Large-Scale Clusters	claim
7	147	A Case Study of Parallel I/O for Biological Sequence Search on Linux Clusters	claim
8	141	A Kernel Running in a DSM - Design Aspects of a Distributed Operating System	claim
9	137	Compiler Optimized Remote Method Invocation	claim
10	136	Computing Large-Scale Alignments on a Multi-Cluster	claim
11	135	A Robust Scheduling Strategy for Moldable Scheduling of Parallel Jobs	claim
12	131	Dynamic Scheduling of Parallel Real-Time Jobs by Modelling Spare Capabilities in Heterogeneous Clusters	claim
13	131	Parallel Design Pattern for Computational Biology and Scientific Computing Applications	claim
14	129	Performance Analysis of Java Message-Passing Libraries on Fast Ethernet, Myrinet and SCI Clusters	claim
15	127	Adding Memory Resource Consideration into Workload Distribution for Software DSM Systems	claim
16	126	Impact of Computational Resource Reservation to the Communication Performance in the Hypercluster Environment	claim
17	123	HPCM: A Pre-Compiler Aided Middleware for the Mobility of Legacy Code	claim
18	121	Communication Middleware Systems for Heterogenous Clusters: A Comparative Study	claim
19	121	From Clusters to the Fabric: The Job Management Perspective	claim
20	120	Improving Performance of a Dynamic Load Balancing System by Using Number of Effective Tasks	claim
21	120	Optimized Implementation of Extendible Hashing to Support Large File System Directory	claim
22	120	Design and Performance of the Dawning Cluster File System	claim
23	117	Towards Load Balancing Support for I/O-Intensive Parallel Jobs in a Cluster of Workstations	claim
24	116	Distributed Recursive Sets: Programmability and Effectiveness for Data Intensive Applications	claim
25	114	GridRM: An Extensible Resource Monitoring System	claim
26	114	Run-Time Prediction of Parallel Applications on Shared Environments	claim
27	113	Wide Area Cluster Monitoring with Ganglia	claim
28	112	Kernel Implementations of Locality-Aware Dispatching Techniques for Web Server Clusters	claim
29	111	A Distributed Performance Analysis Architecture for Clusters	claim
30	107	Supporting Efficient Noncontiguous Access in PVFS over InfiniBand	claim
31	105	Performance Evaluation of Routing Algorithms in RHiNET-2 Cluster	claim
32	105	Shared Memory Mirroring for Reducing Communication Overhead on Commodity Networks	claim
33	103	Availability Prediction and Modeling of High Availability OSCAR Cluster	claim
34	103	A Performance Monitor Based on Virtual Global Time for Clusters of PCs	claim
35	102	Improving the Performance of MPI Derived Datatypes by Optimizing Memory-Access Cost	claim
36	100	Interstitial Computing: Utilizing Spare Cycles on Supercomputers	claim
37	98	A Performance Comparison of Linux and a Lightweight Kernel	claim
38	96	Efficient Structured Data Access in Parallel File Systems	claim
39	93	Implications of a PIM Architectural Model for MPI	claim
40	92	A System Recovery Benchmark for Clusters	claim
41	91	VegaFS: A Prototype for File-Sharing Crossing Multiple Administrative Domains	claim
42	87	View I/O: Improving the Performance of Non-Contiguous I/O	claim
43	87	Optimizing Mechanisms for Latency Tolerance in Remote Memory Access Communication on Clusters	claim

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