Lustre Dell Storage for HPC with Intel

The following sections of this paper will describe the Lustre File System, the Dell Storage for HPC with Intel EE for Lustre solution followed by performance analysis and conclusions. Appendix A: Benchmark Command Reference

Amazon EC2 Computing Cloud and High-Performance Computing

2013 has been an exciting year for the field of Statistics and Big Data, with the release of the new R version 3.0.0. We discuss a few topics in this area, providing toy examples and supporting code for configuring and using Amazon’s EC2 Computing Cloud. There are other ways to get the job done, of course. But we found it helpful to build the infrastructure on Amazon from scratch, and hope others might find it useful, too.

LexisNexis Cluster Computing

LexisNexis, an industry leader in data content, data aggregation, and information services, faced this information explosion challenge
early on. The company independently developed a massively parallel processing (MPP) solution for data-intensive computing called the Data Analytics Supercomputer (DAS). For more than a decade, LexisNexis has been using the DAS internally to power its multi-billion dollar LexisNexis Accurint® public records business. This is the fusion of over 24,000 structured and unstructured data sources that are cleansed, linked, and disambiguated on the DAS.

Design of Projects using HPC

With high-performance computing construction firms and architects have the tools to design more efficient, comfortable and safer buildings by subjecting prototypes to thorough robustness simulations, including detailed analysis of smoke hazard and countermeasures.

HPC Storage simpler, faster and more productive

The Dell Storage for HPC with Intel® Enterprise Edition (EE) for Lustre Solution allows end-users that need the benefits of large–scale, high bandwidth storage to tap the power and scalability of Lustre, with its simplified installation, configuration, and man- agement features that are backed by Dell and Intel.

IBM Storage with OpenStack

This paper reviews the increasingly popular OpenStack cloud platform and the abilities that IBM storage solutions provide to enable and enhance OpenStack deployments. But before addressing those specifics, it is useful to remind ourselves of the “whys and wherefores” of cloud computing.

Clusters for Dummies: IBM Platform

Clustering may sound exotic, it isn’t. Cluster technology relies on fast networks and some clever software to schedule and manage big, complex computing jobs on relatively inexpensive server and networking technology. Major players in industries from pharmaceuticals to oil and gas exploration to chip design bet their bottom lines on clusters and they win big. You can do likewise.

HPC Storage InsideHPC Guide

HPC and technical computing environments require the collection, storage, and transmission of large-scale datasets. To meet these demands, datacenter architects must consider how increasing storage capacity over time will affect HPC workloads, performance, and system availability.

Architecting a Data Storage System

Designing a large-scale, high-performance data storage system presents significant challenges. This paper describes a step-by-step approach to designing such a system and presents an iterative methodology that applies at both the component level and the system level. A detailed case study using the methodology described to design a Lustre storage system is presented.