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NVIDIA announces the latest development for its accelerated computing initiatives

By Wong Chung Wee - on 16 Nov 2015, 10:00pm

NVIDIA announces the latest development for its accelerated computing initiatives

(Image source: NVIDIA)

Last week, NVIDIA announced a pair of its Maxwell-based Tesla graphics accelerators. Now, the company has revealed the latest developments on the accelerated computing front. According to a report by Intersect360, the top 50 high performance computing applications are GPU-accelerated, and when the list was narrow to the top 5 HPC apps, up to 90% of them are GPU-accelerated.

According to NVIDIA, one of the most popular HPC apps, the Vienna Ab initio Simulation Package (VASP), is now GPU-accelerated. This key materials application is used by “atomic scale materials modelling” and its primary commercial function is to allow manufacturers to test materials used in their products. Due to its compute-intensive nature, VASP will traditionally require four dual-CPU servers to operate; however, since it now supports GPU acceleration, a single dual K80 server will suffice.

(Image source: NVIDIA)

Another major development is the decision by US weather agency NOAA to use Tesla-based solutions to build next-gen weather forecasting models. The agency aims to improve the resolution of their global weather model to a 3-kilometer resolution, vis-a-vis the current resolution of 15km. In order to achieve this five-fold increment, the computational complexity is expected to increase by 40 times! With a finer resolution, the new global weather model will be able to better predict weather phenomenon like Hurricane Sandy and the El Nino effect.

(Image source: NVIDIA)

However, if you are in a hurry to witness the cutting edge developments in GPU accelerated computing, there’s SC15 that will happen in Austin, Texas, United States, where a number of hyperscale computing projects will be demonstrated. For example, the GPU-accelerated version of IBM Spark will be shown as it “predicted drug reactions for personalized medicine….” There's even a demonstration on the Titan supercomputer, with 10,800 GPUs, with regards to the analysis of nanotubes for quantum computing.

(Source: NVIDIA)

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