ACADEMIA
OSC Adopts the Mathworks Distributed Computing Tools for Cancer Research Project
Ohio Supercomputer Center (OSC) today announced that it has selected distributed computing tools from The MathWorks to serve as one of the analytics software for its shared instrumentation and analytics projects. OSC’s shared instrumentation and analytics project is a collaborative effort between leading research universities in Ohio and OSC to provide researchers with access to remote instruments, data and analytics capability they need to improve collaboration and speed discovery. The project’s collaborators are working to create tools that enable scientists and engineers in different organizations and locations to share multiple views of many science and engineering projects. 
For example, researchers can use the collaborative technologies to work with electron microscope images of materials, or examine cancerous cell pathologies.
“The MathWorks has demonstrated years of leadership in parallel computing, and we’ve come to rely on their tools to improve the overall creation of efficient supercomputing applications that focus on all aspects of development, experimentation, and analysis,” said Ashok Krishnamurty, Ph.D., Director of Research, Ohio Supercomputer Center. “That proven leadership, combined with the powerful capabilities and scalability of their distributed computing tools, made The MathWorks products a natural fit to power our shared instrumentation and analytics program.”
The amount of data generated through medical research has grown astronomically. Many new medical devices are designed to pre-screen data from instruments and discard the majority of it because of the difficulty in handling the data volume. Resolving this common problem with instrumentation and analysis requires a combination of software development tools, innovative data storage, advanced I/O and management systems.
With MathWorks distributed computing tools, users can solve computationally and data-intensive problems using MATLAB and Simulink in a multiprocessor computing environment. With these tools, OSC is able to prototype and develop parallel applications that can scale from a single multiprocessor workstation to a cluster.
“We have a long history with Ohio Supercomputer Center, and are pleased that OSC has selected MathWorks distributed computing tools for its VM2M project,” said Silvina Grad-Freilich, manager of parallel computing marketing at The MathWorks. “We share a similar vision with OSC as to the potential for parallel computing, and look forward to continuing to enable our customers to realize that potential.”
For example, researchers can use the collaborative technologies to work with electron microscope images of materials, or examine cancerous cell pathologies.
“The MathWorks has demonstrated years of leadership in parallel computing, and we’ve come to rely on their tools to improve the overall creation of efficient supercomputing applications that focus on all aspects of development, experimentation, and analysis,” said Ashok Krishnamurty, Ph.D., Director of Research, Ohio Supercomputer Center. “That proven leadership, combined with the powerful capabilities and scalability of their distributed computing tools, made The MathWorks products a natural fit to power our shared instrumentation and analytics program.”
The amount of data generated through medical research has grown astronomically. Many new medical devices are designed to pre-screen data from instruments and discard the majority of it because of the difficulty in handling the data volume. Resolving this common problem with instrumentation and analysis requires a combination of software development tools, innovative data storage, advanced I/O and management systems.
With MathWorks distributed computing tools, users can solve computationally and data-intensive problems using MATLAB and Simulink in a multiprocessor computing environment. With these tools, OSC is able to prototype and develop parallel applications that can scale from a single multiprocessor workstation to a cluster.
“We have a long history with Ohio Supercomputer Center, and are pleased that OSC has selected MathWorks distributed computing tools for its VM2M project,” said Silvina Grad-Freilich, manager of parallel computing marketing at The MathWorks. “We share a similar vision with OSC as to the potential for parallel computing, and look forward to continuing to enable our customers to realize that potential.” 