Systems Infrastructure - High Performance Computing

Q Associates' in-depth experience and track record in supporting the higher education and research sectors, has led to extensive involvement in the development of Technical & High Performance Computing solutions. These technologies are now being used in the public and commercial sectors to solve complex technical problems to real world issues.
Q Associates has provided over 50 High Performance Computing solutions to both blue-chip companies, and to UK universities and research laboratories. Q Associates has a strong reputation for its continued investment in emerging technologies, and the continued development of its staff.

Symmetric Multi-Processing (SMP)

Offers a large system image to provide vast amounts of processing resource in a single system to solve complex workloads. Q Associates works with a number of different system suppliers ensuring they provide the right platform and operating system for the right task.

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High Performance Compute Clusters

In its simplest form, joins two or more disparate systems, enabling businesses to pool available system resources (CPU, memory, I/O etc). This provides a scalable architecture for evolving capacity management and massive amounts of processing power to solve complex problems. HPC clusters are typically made up of a large number of compute nodes connected through high cluster interconnect. Clusters numbering into several hundreds of nodes are not uncommon. Q Associates provides end-to-end HPC solutions including the design, build, supply and management of HPC clusters across UNIX, Linux and Windows platforms, and associated data management and storage requirements.

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GRID

Joins together distributed resources such as CPU cycles, storage capacity or bandwidth to work in parallel to solve a problem. A form of distributed computing, GRID involves co-ordinating and ensuring computing application data or network resources across dynamic, and potentially geographically dispersed, organisations. For example, an organisation could employ the combined processing power of its PCs at night (when not being used individually by employees).

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High Performance Visualisation

Demands high-quality graphics, large datasets, computationally-intensive tasks, large scale data distribution and often extensive data communication. A typical HPV task utilises high performance computing power to visualise simulations, such as flight simulations, satellite imaging or sharing data analysis with virtual teams. These solutions help customers in solving complex engineering and research problems, utilising cost efficient infrastructure and existing processes and resources.

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Utility Computing

Dramatically reduces the expense of resources dedicated to a single application by making sharing possible. Logical pools of physical servers, storage and I/O resources can be matched to applications “on-demand” based entirely on immediate business needs. Utility computing delivers computing on an “as needed” basis, and enables the cost allocation of processing and storage requirements on a “pay-per-usage” basis.

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