Emerging applications involving large-scale data and high-complexity computational models are challenging existing computing resources. CHMPR and its affiliated industry and government partners aim to be the preeminent cooperative research consortium for addressing the productivity, performance, and scalability issues that lie at the heart of these challenges. CHMPR research draws on the diverse computational science expertise available at the partnering universities to address industry’s current and future multicore application needs through the continual improvement of multicore architectures and open source tools. CHMPR’s vision is to become a leading national center in providing service-oriented computational solutions. These solutions employ multicore 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 specific multicore applications and cloud computing services will be focused on:
Big Data computations: personal medical intelligence, climate change, bio-cellular imaging, materials genomics.
Sustainable environment: human sensor networks, visual animation social media mining and modeling.
Next-gen computing platforms, including: GPU/CPU hybrid workflow systems, 512 node IBM iDataplex Dual Intel Nehalem processors, peta-exascale storage systems, and 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 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 3D graphic environments.
Facilities & Resources
Partner Organizations
Abbreviation |
CHMPR
|
Country |
United States
|
Region |
Americas
|
Primary Language |
English
|
Evidence of Intl Collaboration? |
|
Industry engagement required? |
Associated Funding Agencies |
Contact Name |
Milton Halem
|
Contact Title |
Center Director
|
Contact E-Mail |
halem@umbc.edu
|
Website |
|
General E-mail |
|
Phone |
|
Address |
Emerging applications involving large-scale data and high-complexity computational models are challenging existing computing resources. CHMPR and its affiliated industry and government partners aim to be the preeminent cooperative research consortium for addressing the productivity, performance, and scalability issues that lie at the heart of these challenges. CHMPR research draws on the diverse computational science expertise available at the partnering universities to address industry’s current and future multicore application needs through the continual improvement of multicore architectures and open source tools. CHMPR’s vision is to become a leading national center in providing service-oriented computational solutions. These solutions employ multicore 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.
Abbreviation |
CHMPR
|
Country |
United States
|
Region |
Americas
|
Primary Language |
English
|
Evidence of Intl Collaboration? |
|
Industry engagement required? |
Associated Funding Agencies |
Contact Name |
Milton Halem
|
Contact Title |
Center Director
|
Contact E-Mail |
halem@umbc.edu
|
Website |
|
General E-mail |
|
Phone |
|
Address |
Research Areas
The specific multicore applications and cloud computing services will be focused on:
Big Data computations: personal medical intelligence, climate change, bio-cellular imaging, materials genomics.
Sustainable environment: human sensor networks, visual animation social media mining and modeling.
Next-gen computing platforms, including: GPU/CPU hybrid workflow systems, 512 node IBM iDataplex Dual Intel Nehalem processors, peta-exascale storage systems, and 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 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 3D graphic environments.