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The SciNet Consortium at the University of Toronto Selects NextIO vCORE™ Express 2070 GPU Computing Solutions

Dépèche transmise le 4 mai 2011 par Business Wire

The SciNet Consortium at the University of Toronto Selects NextIO vCORE™ Express 2070 GPU Computing Solutions

AUSTIN, Texas--(BUSINESS WIRE)--NextIO, the pioneer in rack-level IO consolidation and virtualization solutions, today announced that The SciNet Consortium at the University of Toronto has selected the company’s vCORE Express 2070 GPU systems to power scientific research in a variety of academic areas including astrophysics, aerospace, cosmology simulations and computational combustion.

“These systems certainly give us better density and more memory per dollar in addition to a tremendous amount of flexibility that can be leveraged in variables for different high compute problems.”

The SciNet Consortium at the University of Toronto selected the NextIO vCORE™ Express 2070 systems because their research professors needed a powerful and flexible GPU system that would allow them to quickly solve rapidly growing and complex research problems. With the NextIO vCORE™ Express solution, researchers can obtain access to larger amounts of fast GPU memory than would be available in just a single GPU traditionally located in a system. This doubles their existing memory capabilities to run simulations, such as kinematic measurements of cosmic history, or predictions of combusting and multiphase flows encountered in aerospace propulsion systems.

“When it came to choosing a high-performance system to power the important research conducted at the University of Toronto, the NextIO vCORE GPU system was an obvious choice,” said Dr. Chris Loken, SciNet's Chief Technical Officer. “These systems certainly give us better density and more memory per dollar in addition to a tremendous amount of flexibility that can be leveraged in variables for different high compute problems.”

NextIO’s vCORE product family features NVIDIA’s record-setting GPUs for both compute-intensive and data visualization requirements. The vCORE Express enhances NextIO’s GPU consolidation product portfolio by introducing a simple, yet extremely powerful, solution for workstation and small cluster compute applications. vCORE Express is designed especially for parallel computing applications using NVIDIA Tesla 20-Series GPUs in cluster and datacenter deployments. With four massively parallel CUDA-enabled GPUs in a 1U system, vCORE Express brings economies of scale to GPU customers by delivering the same performance of a traditional CPU-based cluster – all at 10 percent of the cost and five percent of the power consumption.

The SciNet Consortium represents scientific researchers from the University of Toronto and the affiliated research hospitals and provides high-performance computing resources to the Canadian research community. Research professors who will utilize the NextIO GPUs to develop simulation codes for large-scale computing applications in science and engineering include:

• Clinton Groth, University of Toronto Institute of Aerospace Studies – Professor Groth conducts CFD algorithm research for a wide range of multi-physics problems with a major interest in combustion modeling.
• Harald Pfeiffer, Assistant Professor at the Canadian Institute for Theoretical Astrophysics (CITA) within the University of Toronto – Professor Pfeiffer conducts computer simulations of black holes and neutron stars to better understand gravity.
• Ue-Li Pen, Associate Director for CITA – Professor Pen’s primary research interest is 21cm cosmology, a study that maps the neutral hydrogen through the history of the universe.

“The SciNet Consortium along with the academic researchers at the University of Toronto represents a world-class research organization that we are proud to be associated with,” said Mike Heumann, Senior Vice President of Sales and Marketing at NextIO. “The vCORE GPU systems were developed specifically for high-performance, large-scale scientific research simulations, and we look forward to supporting the exemplary research of the SciNet research team in years to come.”

About SciNet

SciNet is one of seven regional Compute Canada consortia of universities and colleges across Canada with mandates to provide High-Performance Computing (HPC) resources to both their own academic researchers as well as other users across the country and international collaborations. SciNet was funded by the National Platform Fund (NPF) of the Canada Foundation for Innovation (CFI) and by the Province of Ontario as well as the University of Toronto Faculties of Arts and Science, Engineering and Medicine. SciNet represents a large and diverse group of internationally and nationally recognized researchers in a wide variety of fields of research endeavor based at the University of Toronto and affiliated research hospitals and institutes.

For more information please visit: http://computecanada.org

About NextIO

NextIO provides rack-level IO consolidation and virtualization solutions that maximize performance, productivity and efficiencies of complex server IO. Our innovative architecture is based upon industry standard PCIe switching technology. By separating the compute from the IO we create pools of server IO resources at the rack level that can be shared, virtualized or dynamically allocated across servers within the rack. Data center managers benefit from lower TCO and increased time to revenue. NextIO solutions address data center requirements across multiple industry segments including: Enterprise, Oil & Gas, High Performance Computing, Financial Services, and Government. For more information, visit www.nextio.com.