Tesla K10 GPU

Nvidia has announced the launch of an accelerator designed to meet what it describes as the two most difficult challenges in high-performance computing.

The Tesla K10 is aimed at seismic data processing in oil and gas exploration, as well as signal and image processing in the defence industry. The company claims it is based on the fastest, most efficient and highest-performance computing architecture ever built.

The Kepler architecture enables two high-performance Tesla K10 GPUs to be placed on a single accelerator board. It delivers an aggregate performance of 4.58 teraflops of single-precision floating point and 320 gigabytes per second memory bandwidth.

Seismic processing uses large data centres to crunch through petabytes of information about the Earth’s subsurface area, generated from reflected seismic waves. Geophysicists analyse the resulting 2D and 3D images to discover oil and gas deposits, and to determine the best and safest locations to drill.

In addition, the Tesla K10 can help agencies increase national security by improving the quality, and speeding the delivery of, actionable video analytics and image forensics to security and law-enforcement officials.

GPUs speed up by as much as 100 times the process of analysing thousands of video feeds generated by security cameras and drones, enabling analysts to better identify events and individuals of interest. 


For functionality and security for externalised research, software providers have turned to the cloud, writes Sophia Ktori


Robert Roe looks at the latest simulation techniques used in the design of industrial and commercial vehicles


Robert Roe investigates the growth in cloud technology which is being driven by scientific, engineering and HPC workflows through application specific hardware


Robert Roe learns that the NASA advanced supercomputing division (NAS) is optimising energy efficiency and water usage to maximise the facility’s potential to deliver computing services to its user community


Robert Roe investigates the use of technologies in HPC that could help shape the design of future supercomputers