![A server room with rows of server racks](/sites/default/files/styles/57_desktop/public/2023-10/IMG_3554.jpg.webp?itok=aM09HzZC)
Advanced research has moved beyond the capacity of a single computer to perform detailed multi-level simulations, data analysis, and large-scale computations.
Due to growing complexity and requirements for sheer computational horsepower, these needs are increasingly met with tightly integrated cluster systems consisting of hundreds to hundreds of thousands of processors, terabytes to petabytes of high-performance storage, and high bandwidth/low latency interconnects consuming megawatts of power. In addition to the need for powerful hardware, the software that runs on these systems must be written to take advantage of the computational power available on a particular system.
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![Code on a computer screen](/sites/default/files/styles/featured_card_desktop/public/2023-10/SourceCodeStock_0.jpg.webp?itok=S-4JgIgo)
Write resource-efficient code that takes advantage of the cluster’s ability to run parallel processes.
![Binary code pattern with rows of 1s and 0s on a white background.](/sites/default/files/styles/featured_card_desktop/public/2023-10/BinaryStock.jpg.webp?itok=lJraI_yk)
Install and run software in the cluster environment.
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Get information about national high-performance computing resources available to you through the ACCESS program via your local Campus Champion.