Tags: models

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  1. Certainties and Uncertainties in Our Energy and Climate Futures

    06 Jun 2019 | | Contributor(s):: Steven E. Koonin

    I’ll first discuss the certainties and uncertainties in our understanding of the earth’s changing climate and its response to human influences. The historical record, climate models, and projections through the next century will be reviewed in ways not usually covered in...

  2. Simulation #2- Bucky Ball

    Collections | 14 Apr 2016 | Posted by Tanya Faltens

    https://nanohub.org/groups/outreach/collections/introducing-models-and-simulations---outreach-activity

  3. Data-Centric Models for Multilevel Algorithms

    07 Feb 2016 | | Contributor(s):: Samuel Guiterrez

    Today, computational scientists must contend with a diverse set of supercomputer architectures that are capable of exposing unprecedented levels of parallelism and complexity. Effectively placing, moving, and operating on data residing in complex distributed memory hierarchies is quickly becoming...

  4. Task-Graph and Functional Programming Models: The New Paradigm

    04 Feb 2016 | | Contributor(s):: Ben Bergen

    The Message Passing Interface (MPI) is an example of a distributed-memory communication model that has served us well through the CISC processor era. However, because of MPI's low-level interface, which requires the user to manage raw memory buffers, and its bulk-synchronous communication...

  5. [Illinois] Biological Models with Combinatorial Spaces

    02 Feb 2014 | | Contributor(s):: Bonnie Kirkpatrick

  6. Nano Roughness MEA - Day 1 Training

    29 Jul 2013 | | Contributor(s):: Heidi A Diefes-Dux, Kelsey Joy Rodgers, Paul Branham, Krishna Madhavan

    This is the first part of Day 1 (out of 3) Training for the NanoRoughness MEA. This training introduces Model-Eliciting Activities (MEAs), the NanoRoughness MEA, and problem scoping.