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This policy outlines procedures for New York State agencies to request and use supercomputing resources for research and economic development purposes.
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How to fill out state agency use of

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How to fill out State Agency Use of Supercomputing Resources

01
Obtain the application form from the State Agency's official website.
02
Fill in your personal details, including your name, title, and contact information.
03
Provide the name of your agency and the specific project that requires supercomputing resources.
04
Clearly outline the objectives of your project and how supercomputing will aid in achieving them.
05
Specify the types of resources needed, such as CPU time, memory, or storage.
06
Include any relevant timeline for your project completion.
07
Sign and date the application form.
08
Submit the completed application to the designated department as instructed.

Who needs State Agency Use of Supercomputing Resources?

01
State agencies conducting research that requires intensive computational resources.
02
Researchers working on data-intensive projects that surpass local computing capabilities.
03
Programmers and analysts needing to run complex simulations or data analyses.
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State Agency Use of Supercomputing Resources refers to the utilization of high-performance computing facilities and services by state agencies to enhance research, data analysis, and computational tasks.
State agencies that utilize supercomputing resources for their research, development, or operational activities are required to file reports on their usage.
To fill out the State Agency Use of Supercomputing Resources form, agencies must provide detailed information about their usage, including project descriptions, types of resources accessed, and the outcomes achieved.
The purpose is to track and optimize the use of supercomputing resources by state agencies, ensuring accountability, efficient use of resources, and supporting advancements in research and development.
Agencies must report information such as the names of projects, objectives, resource usage (compute time, storage), funding sources, and results of the computational work completed.
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