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Showing 5 open source projects for "chapel"
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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GASNet is a language-independent, networking middleware layer that provides network-independent, high-performance communication primitives including Remote Memory Access (RMA) and Active Messages (AM). It has been used to implement parallel programming models and libraries such as UPC, UPC++, Co-Array Fortran, Legion, Chapel, and many others.
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Chapel
a Productive Parallel Programming Language
Chapel is an emerging parallel programming language whose design and development are being led by HPE in collaboration with academia, computing labs, and industry. Chapel's goal is to improve the productivity of parallel programmers, from laptops to supercomputers. **Please note that Chapel development has moved to GitHub** -
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...An output-sensitive algorithm for computing projections of resultant polytopes. In Proc. 28th Annual Symposium on Computational Geometry (SoCG 2012), pp.179-188, Chapel Hill, USA.
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The Regional Urban Growth Model (RUG). RUG Development Team c/o Todd BenDor Department of City and Regional Planning University of North Carolina at Chapel Hill CB #3140, New East Building Chapel Hill, NC 27599-3140 bendor AT unc.edu
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Comet Backup - Fast, Secure Backup Software for MSPsComet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
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The Carolina Computer Assistive Technolog group at UNC-Chapel Hill focuses on the development of enabling technologies. We are currently maintaining the pyTTS package here, but our older work is still available for (unsupported) use.
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