By DE Editors
NVIDIA unveiled the NVIDIA Tesla K40 GPU accelerator. Providing double the memory and up to 40 percent higher performance than its predecessor, the Tesla K20X GPU accelerator, the K40 GPU is optimized for big data analytics and large-scale scientific workloads, the company says.
It features intelligent NVIDIA GPU Boost technology, which converts power headroom into a user-controlled performance boost. It can achieve 4.29 teraflops single-precision and 1.43 teraflops double-precision peak floating point performance.
“GPU accelerators have gone mainstream in the HPC and supercomputing industries, enabling engineers and researchers to consistently drive innovation and scientific discovery,” said Sumit Gupta, general manager of Tesla Accelerated Computing products at NVIDIA. “With the breakthrough performance and higher memory capacity of the Tesla K40 GPU, enterprise customers can quickly crunch through massive volumes of data generated by their big data analytics applications.”
The accelerator features 12GB of GDDR5 memory, 2,880 CUDA parallel processing cores, dynamic parallelism for dynamically spawning new GPU threads, and PCIe Gen-3 interconnect support.
The Texas Advanced Computing Center (TACC) at The University of Texas at Austin plans to deploy “Maverick,” a new interactive, remote visualization and data analysis system powered by NVIDIA Tesla K40 GPU accelerators. Maverick is expected to be fully operational in January 2014.
“The Tesla K40 GPU accelerators will help researchers crunch through massive volumes of big data and gain new insights through large-scale, sophisticated visualizations,” said Kelly Gaither, director of Visualization at TACC. “With NVIDIA GPUs, Maverick will provide researchers powerful interactive capabilities to advance their most complex scientific challenges.”
For more information, visit NVIDIA.
Sources: Press materials received from the company and additional information gleaned from the company’s website.