This Government Contract opportunity from Department Of The Interior was posted on July 16, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
High-Performance Computing (HPC) Integration & Scalability Optimization
Contract Overview
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The contract seeks to optimize SyncroSim and ST-Sim software for high-performance computing environments to enable scalable, high-resolution simulations that assess the combined impacts of climate change and urbanization on landscapes. The goal is to enhance computational efficiency and parallel processing capabilities on HPC platforms, allowing for more detailed, dynamic, and timely modeling of ecological and land-use scenarios at regional to national scales. This work will focus on improving data handling, memory management, and algorithmic performance to support large-scale simulations that were previously limited by computational constraints. The subcontract is classified under NAICS code 541512 for custom computer programming services and is issued by the Department of the Interior’s Office of Acquisition Grants. Proposals must be submitted by July 31, 2026, with the work to be performed in an undefined location but expected to leverage existing HPC infrastructure. The effort requires deep technical expertise in software optimization, parallel computing, and ecological modeling frameworks, with an emphasis on delivering robust, reproducible, and deployable solutions that extend the utility of SyncroSim/ST-Sim beyond current capabilities. Successful proposals will demonstrate a clear pathway to integration with federal HPC resources and measurable improvements in simulation speed, resolution, and scalability.
General Info
Agency
NAICS
Place of Performance
CASet-Aside
Documents
This scope was carved out of 140G0326Q0168.
The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.
D--Land Use Modeling
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Timeline
Submission Closed
Organization & Contact Information
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