Whitepapers HPCwire's white paper database contains reports from the leading thought-leaders and idea generators in the HPC industry.

SpotlightON: Working Toward Workflow as a Service

Source: Nimbis Services
Release Date: Nov 6, 2014

For manufacturers, HPC cloud is primed and ready to bring to the small-to medium-sized enterprises the very tools that keep industry giants on the leading edge. Whether cloud services are used to meet peak demand requirements or host applications for advanced modeling and simulation, find out how this scalable environment is opening doors for enterprises Read more…

PBS Works Suite Deployed for Comprehensive Workload Management at The University of Nottingham

Source: Altair
Release Date: Sep 26, 2014

The University of Nottingham chose Altair’s PBS Works suite as the integrated workload management solution for their HPC system comprising over 170 machines. The solution includes PBS Professional for scheduling, PBS Analytics for workload analytics and reporting, and Compute Manager for web-based job submission and management.

SpotlightON: Software-Defined Networking in the Datacenter

Source: Extreme Networks
Release Date: Sep 4, 2014

When it comes to networking, switches and routers are breaking free of their physical constraints to create readily reconfigurable software defined networks. Join us as we explore the world of SDN and get a glimpse of where this technology is heading.

SpotlightON: Scaling for Research and Analytics in the Cloud

Source: Amazon Web Services
Release Date: Aug 26, 2014

Many HPC applications are experiencing unprecedented agility in the cloud – the flexibility to scale up and out depending on workload demands and pay according to use. Nicole Hemsoth, Editor of HPCwire offers her insight followed by a comprehensive collection of stories highlighting the steady progression and acceleration of HPC in the Cloud.

Are You in Control of Your Cloud Data?

Source: NetApp
Release Date: Aug 15, 2014

Find out how new hybrid cloud architectures enable you to take advantage of public cloud resources from Amazon, Microsoft, and others while keeping your enterprise firmly in the driver‘s seat. You’ll learn how you can benefit from the elastic compute power of public clouds and still maintain control over your company’s data.

Moving your HPC Applications into Overdrive with Acceleware

Source: Acceleware
Release Date: Jul 17, 2014

Learn about advanced software engineering techniques that leverage the power of today’s parallel hardware to optimize applications for maximum performance.

Distributed Computing Using the Digipede Network

Source: Digipede
Release Date: Jun 26, 2014

Distribute and accelerate: How running compute-intensive applications in a distributed computing environment can significantly shorten the time to results without the need for expensive and complex HPC systems.

Custom Workflows for Oil and Gas

Source: Adaptive Computing
Release Date: Jun 19, 2014

Despite the bleeding edge HPC, big data, and cloud-based technologies backing the world’s largest oil and gas companies,  there is still a great deal of outdated manual work required to orchestrate priority, access, and outcomes. Are there solutions on the horizon that can streamline the currently cluttered, hand-managed workflows that collide, lock down silos, and Read more…

The UberCloud Experiment Compendium – Part 2

Source: UberCloud Project
Release Date: Jun 12, 2014

This second Compendium is a selection of 17 case studies from Rounds 3 and 4 of the Experiment, to raise awareness in the CAE, Bio, Finance, Big Data, and HPC communities about the benefits and best practices of using remote HPC capabilities.

Intel Solution Brief: Maximize Performance and Scalability of RADIOSS on Intel® Xeon® Processor E7 v2 Family-Based Platforms

Source: Altair
Release Date: May 12, 2014

This paper summarizes the findings of a benchmark study with RADIOSS and Intel® Xeon® processors. In the study, Altair benchmarked RADIOSS using a modified crash simulation model on a single-node platform — RADIOSS was able to easily take advantage of all 60 cores, running the workload 2.75X faster than on a comparable 24-core platform.