New to Windows HPC Server 2008 ?
get acquainted.
A Competitive Advantage
High Performance Computing gives analysts, engineers and scientists the computation resources they need to make better decisions, fuel product innovation, speed research and development, and accelerate time to market. Some examples of HPC usage include: decoding genomes, animating movies, analyzing financial risks, streamlining crash test simulations, modeling global climate solutions and other highly complex problems.
More Accessible Than Ever
In the past, the most common way to apply multiple compute cycles to a complex problem was to use specialized supercomputing hardware – a solution with a very high cost of entry and technical complexity.
However, recent software and hardware advances have made it possible to leverage existing IT skills and create an HPC environment using off-the-shelf servers and high speed interconnects. These systems can deliver industry-leading computing power with more efficiency and at a significantly lower cost of entry and ownership. This form of HPC is called a commodity HPC cluster.
Basic Architecture of an HPC Cluster
A cluster consists of several servers networked together where each server in the cluster performs one or more specific tasks. Cluster components include Head Nodes, and Compute Nodes, Job Scheduler and Broker Nodes (for SOA enabled clusters.)
Head Node
The single point of management and job scheduling for the cluster. It provides failover and controls and mediates access to the cluster resources.
Compute Node
Carries out the computational tasks assigned to it by the job scheduler.
Job Scheduler
Queues jobs and their associated tasks. It allocates resources to these jobs, initiates the tasks on the compute nodes; and monitors the status of jobs, tasks, and compute nodes.
Broker Node
Act as intermediaries between the application and the services. The broker load-balances the service requests to the services, and finally return results to the application.
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