SGI customers in financial services, academia and homeland security continue to see significant performance improvements using NVIDIA Tesla accelerators. Example applications are edge trading in financial services, weapons testing, seismic wave applications at Princeton University, along with Sendai Nation College of Technology using SGI with Tesla for electromagnetic field analysis. Swinburne University is another SGI customer that has continued to leverage the NVIDIA Tesla technology for astrophysics research.
"With the assistance of NVIDIA and the Kepler GPU accelerators, the Swinburne supercomputers from SGI have proven to be excellent research tools in areas of astronomy, ranging from simulations of the dynamical evolution of the universe to the processing of data collected from radio telescopes," said Dr. Jarrod Hurley, manager of Swinburne University's supercomputer.
"NVIDIA's accelerators enable our customers to realize significant improvements in processing performance," said Bill Mannel, general manager, Compute at SGI. "Accelerator-based HPC solutions feature intelligent NVIDIA GPU Boost technology, which converts power headroom into a user-controlled performance boost, enabling our customers to unlock the untapped performance of a broad range of applications to address compute and Big Data challenges."
Based on the NVIDIA Kepler computing architecture, the NVIDIA Tesla K40 GPU accelerator provides 2,880 CUDA parallel processing cores, 4.29 teraflops single-precision and 1.43 teraflops double-precision peak floating point performance, 12GB of ultra-fast GDDR5 on-board memory and a memory bandwidth of 288 GB/s.
The accelerators are powered by NVIDIA CUDA®, the world's most pervasive parallel computing platform and programming model, and take advantage of innovative technologies like Dynamic Parallelism and Hyper-Q to boost performance and power efficiency.
"The Tesla K40 GPU accelerator is designed to bring extreme performance to the industry's broadest range of scientific, engineering, HPC and enterprise big data analytics," said Sumit Gupta, general manager of Tesla Accelerated Computing Products at NVIDIA. "SGI's new Tesla accelerator-enabled servers provide researchers with unique architectures and application capabilities, and a powerful and flexible platform upon which customers can innovate."
NVIDIA Tesla K40 GPU accelerators are available in the following SGI platforms:
- SGI® UV 2000, with scalability out to 64 TB of coherent main memory for in-memory GPU, the UV 2000 can support up to 16 NVIDIA Tesla K40 GPUs
- Dense Rackable® servers, featuring the dense C1104G or C2110G servers for up to 4 NVIDIA Tesla K40 GPUs in a single server
- The Rackable C2108 and UV 20 servers that offer larger memory and I/O footprints and up to 2 NVIDIA Tesla K40 GPUs vs. typical dual-socket servers
- In less dense configurations, NVIDIA Tesla K40 GPUs can be hosted in an SGI ICE X fabric via Rackable service nodes
All SGI UV and Rackable solutions are available and shipping today. Specific support for NVIDIA Tesla K40 GPUs varies with the platform. Limited numbers of NVIDIA Tesla K40 GPU accelerators can be configured in ICE X solutions via specialty nodes today as well.
SGI, the trusted leader in high performance computing (HPC), is focused on helping customers solve their most demanding business and technology challenges by delivering technical computing, Big Data analytics, cloud computing, and petascale storage solutions that accelerate time to discovery, innovation, and profitability.
© 2013 Silicon Graphics International Corp. All rights reserved. SGI, SGI UV, SGI ICE X, SGI Management Center, Rackable and the SGI logo are trademarks or registered trademarks of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. NVIDIA Tesla, NVIDIA CUDA and NVIDIA Kepler are registered trademarks of NVIDIA. All other trademarks are property of their respective holders.
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