Software Updates on an Intel® Cluster Ready SystemAugust 26th, 2009 10:18 am
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My last post concluded that eventually the answer to, ‘is my cluster's software too old,' is yes. Updating software ...
IB Diagnostics for Large Scale Heterogeneous Clusters – Best Practices Learnt from JuropaAugust 13th, 2009 2:11 pm
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Overview of Juropa
The name JuRoPA is itself an acronym which reflects the broader goals of the project of which this ...
Consider This When Building HPC ClustersMay 14th, 2009 1:15 pm
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Many IT departments in the high performance computing market are feeling the rising pressure to deliver more capacity computing and ...
Red Hat HPC SolutionMay 11th, 2009 2:17 pm
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[Excerpt] Analysts, engineers, and scientists are constantly pushing the computational limits of current IT resources. In response, businesses are increasingly ...
SGI and Intel® Cluster Ready Program BriefApril 27th, 2009 3:04 pm
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[Excerpt] SGI Moving Forward with the Intel® Cluster Ready Program
SGI, a leader in high-performance computing, is a founding platform partner ...
Scalability of Transient CFD on Large-Scale Linux ClustersApril 7th, 2009 4:40 pm
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[Excerpt] This work examines the parallel scalability characteristics of commercial CFD software FLUENT and STAR-CD for up to 256 processing ...
Accelerated HPC Productivity with Intel® Cluster Ready SolutionsApril 7th, 2009 9:36 am
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[Excerpt] The Intel® Cluster Ready program provides a standardized, replicable way to build and run high-performance computing (HPC) clusters, ...
Appro and Intel® Cluster Ready VideoApril 2nd, 2009 4:38 pm
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Appro and Intel® Cluster Ready — Extreme Performance, Extreme Scalability
Find out how Appro is delivering a complete High Performance Computing ...
Dell and Intel® Cluster Ready Tech Brief: Simplifying HPC ClustersApril 1st, 2009 3:40 pm
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[Excerpt] Many organizations have departments and workgroups that could benefit from high performance computing (HPC) resources to analyze, model, and ...
Dell Case Study: Stanford UniversityApril 1st, 2009 3:27 pm
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[Excerpt] Simulations are among the most demanding computational tasks. At Stanford, models working against large data sets can take weeks ...
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