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Whitepapers
HPC in the Cloud's white paper database contains reports from the leading thought-leaders and idea generators in the Cloud industry.
Most Recent White Papers
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Obtain the highest level of storage reliability with tape
Source: Spectra Logic
Release Date:October 4, 2011
Documents of historical significance, like the Dead Sea Scrolls, the Rosetta stone and the U.S. Constitution, only survive thanks to reliable media—stone and parchment. Digital efforts have yet to prove themselves over such a span of time, but right now, the closest equivalent storage media for digital data is magnetic tape, with a life of thirty or more years. Learn more about how magnetic tape and tape libraries deliver longevity and reliability necessary for archive data.
Debugging PGI CUDA Fortran with Allinea DDT
Source: Allinea
Release Date:October 16, 2011
GPUs have rapidly changed the landscape of software development for high performance computing with their favourable performance to power and cost ratios. PGI’s CUDA Fortran represents a straightforward way to port CPU intensive parts of Fortran applications to GPUs. Download this white paper to read more about how debugging of PGI CUDA Fortran applications can be done using Allinea DDT.
Get faster with HP starter kits accelerated by NVIDIA Tesla GPUs.
Source: HP
Release Date:October 24, 2011
Are you ready for GPU computing? The HPC industry is quickly adopting a hybrid-computing model to accelerate applications, and now it’s easy to get started with the HP GPU starter kit.
Map/Reduce on Lustre®
Source: Xyratex
Release Date:October 4, 2011
This paper compares HDFS and Lustre architectural drivers and resulting system performance of Map/Reduce computations on HPC hardware. We evaluate theoretical and actual performance of Lustre and HDFS for a variety of workloads in both traditional and Map/Reduce-based applications. Further, we examine the additional benefits (cluster efficiency, flexibility, and cost) of using a general-purpose distributed file system, such as Lustre, on a Hadoop compute cluster.
Xyratex Lustre® Priorities Architectural Overview
Source: Xyratex
Release Date:September 12, 2011
This paper summarizes a technical approach for the Lustre® community to consider implementing new features that will contribute to dramatically increasing Lustre’s stability, scalability, and performance. Xyratex is committed to community collaboration to move Lustre forward. The purpose of this document is to provide some transparency and insight into Xyratex’s architectural thoughts to extend Lustre capabilities and to stimulate discussion within the community.
Xyratex ClusterStor™ 3000 – The Future of HPC Storage
Source: Xyratex
Release Date:August 30, 2011
The performance requirements of HPC environments have placed unprecedented demands on the I/O performance of supporting storage systems. Storage I/O has become the performance bottleneck for many HPC clusters, as traditional storage systems cannot keep pace with the increasing scale of these deployments. This white paper reviews the ClusterStor™ 3000 storage solution, which integrates the highly scalable, parallel Lustre® file system with Xyratex’s innovative Scale-Out Storage Architecture to create the next generation of HPC storage.
Smart IBM Solutions for High Performance Engineering Clouds
Source: IBM
Release Date:August 22, 2011
This paper describes IBM’s rich portfolio of HPC cloud computing offerings for engineering and other technical workloads. IBM has been the leader in clustered high performance computer systems for many years and consistently dominates the TOP500 and Green500 list of the world’s most powerful and environmentally responsible supercomputers.
Map/Reduce on Lustre®
Source: Xyratex
Release Date:August 30, 2011
This paper compares HDFS and Lustre architectural drivers and resulting system performance of Map/Reduce computations on HPC hardware. We evaluate theoretical and actual performance of Lustre and HDFS for a variety of workloads in both traditional and Map/Reduce-based applications. Further, we examine the additional benefits (cluster efficiency, flexibility, and cost) of using a general-purpose distributed file system, such as Lustre, on a Hadoop compute cluster.
Xyratex Lustre® Priorities Architectural Overview
Source: Xyratex
Release Date:August 30, 2011
This paper summarizes a technical approach for the Lustre® community to consider implementing new features that will contribute to dramatically increasing Lustre’s stability, scalability, and performance. Xyratex is committed to community collaboration to move Lustre forward. The purpose of this document is to provide some transparency and insight into Xyratex’s architectural thoughts to extend Lustre capabilities and to stimulate discussion within the community.
Cracking the Parallelism Puzzle - An innovative solution for C/C++ and Fortran developers
Source: Intel
Release Date:June 27, 2011
Read “Cracking the Parallelism Puzzle” to learn about a comprehensive solution for task parallelism, data parallelism, and vectorization, with interfaces implemented using both language extensions and libraries. Get free article!
