CHMPR Vision Statement

The NSF Center for Multicore Productivity Research (CHMPR) and its affiliated industry and government partners aim to be recognized globally as the preeminent cooperative research consortium for addressing the productivity, performance and scalability issues in meeting the insatiable computational demands of its sponsors applications through the continuous evolution of multicore architectures and open source tools.

CHMPR Mission

To evolve to a leading national center in providing service oriented computational solutions employing multi-core technologies for the optimization of problems in the fields of environmental and geophysical sciences, chemical, aerospace, defense, biomedical informatics, financial, and event driven simulations and visualizations.

Research Areas

The CHMPR research programs draw on the diverse computational science expertise available at the partnering universities to address industry’s current and future multicore application needs. The specific multicore applications and cloud computing services will be focused on the following:

  • Big Data Computations; Personal Medical Intelligence, Climate Change, Bio-Cellular imaging, Material Genomics
  • Sustainable Environment; Human Sensor Networks, Visual Animation Social Media Mining and Modeling
  • Next Gen Computing; GPU/CPU hybrid workflow systems, Acquire 512 node IBM iDataplax Dual Intel Nehalem Processors; 1439663 5 Peta-Exascale Resilience and Scalability, Quantum Computing
  • Cognitive and Neuroscience; Hybrid compute hardware and software designs for previously incomputable domains of social consequence
  • Assured Social Media Information; Crowd sourcing, False Information, steganography detection

As part of this, CHMPR will conduct:

  • Performance analysis and scaling optimization of compute data intensive modeling and simulation applications on hybrid multicore systems
  • Software tool deployments and algorithmic design to take advantage of parallel distributed computing
  • Interactive digital media and 3-D graphic environments.
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