ORNL’s supercomputing program grew from humble beginnings to deliver the most powerful system ever seen. On the way, it has helped researchers deliver practical breakthroughs and new scientific knowledge in climate, materials, nuclear science, and a wide range of other disciplines.
Learn more about the OLCF’s comprehensive suite of hardware and software resources for the creation, manipulation, and retention of scientific data. For User support in using these resources, please visit the For Users section of this website.
Learn more about the OLCF’s comprehensive suite of hardware and software resources for the creation, manipulation, and retention of scientific data. Please note that the For Users section of this website provides extensive information on accessing and employing these resources.
The Oak Ridge Leadership Computing Facility (OLCF) engages a world-class team from national laboratories, research institutions, computing centers, universities, and vendors to take a dramatic step forward to field a new capability for high-end science.
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The Project Narrative should address the following:
Overview and Significance of Research: Place the proposal in the context of other work in your discipline. In addition, explain what innovation, scientific advance, or impact you expect to be enabled by a Director's Discretionary award that justifies an allocation of large-scale resources. For industrial users, also place proposed research in context of your business and to the significance of your business.
Research Objectives and Milestones: Describe the proposed research, including its goals, milestones, and the theoretical and computational methods it employs. This section should correlate with the type of request checked above (for example, scaling studies in anticipation of a larger INCITE or ALCC proposal request, architectural porting and development work, discussion of the specific scientific simulations to be carried out, etc.). Goals and milestones should articulate simulation and developmental objectives and be commensurate with the size and duration of the proposal request. Proposals will be evaluated on both technical merit and computational feasibility.
Proposed Computational Approach: Provide a detailed description of your proposed computational approach, including a discussion of the state-of-the-art in the field. The description may mention:
• The underlying mathematical formulation (e.g., ODE, PDE).
• Particular libraries required by the simulation and analysis software, algorithms and numerical techniques employed (e.g., finite element, iterative solver), programming languages, and other software used.
• Parallel programming model(s) used (e.g., MPI, OpenMP, Pthreads, CUDA, OpenACC).
• Project workflow, including the role of analysis and visualization and the availability of checkpoint and restart files.
• I/O requirements (e.g., amount, size, bandwidth, etc) for restart, analysis, and workflow. Highlight any exceptional I/O needs.
• Data storage requirements. Estimate anticipated cumulative size of stored data at the end of the requested project. What do you plan to do with the data at the end of the project? Do you have tools and/or plans to reduce the data? Justify data storage needs that exceed one petabyte.
Parallel Performance: As appropriate, provide direct evidence, including supporting quantitative data, for your project's application parallel performance. Supporting quantitative data should be provided in either tabular or graphical form, or both. Describe what, if any, development work will be carried out to improve the performance of your application on the resource chosen.
References: References should be included at the end of the Project Narrative.
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