GPU computing


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Related to GPU computing: CUDA

GPU computing

Performing computations on a graphics processing unit (GPU). The term may refer to graphics rendering on a GPU, the original purpose of the chip, or to non-graphics processing for computation-intensive tasks in science and engineering. See GPU.
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By providing the eminent power-efficient performance to fertile your multi-purpose projects, RCS-9000F GTX1080 GPU Computing System makes itself come to the fore.
In the following, we briefly present the history and evolution of the GPUs and of the GPU computing.
Previously codenamed Logan, Tegra K1 is the first mobile chip to move to Nvidia's desktop GPU architecture with 192 CUDA cores with support for GPU computing and DirectX 11.
The Tegra K1 features 192 fully programmable GPU computing cores capable of executing CUDA algorithms in addition to four ARM Cortex- A15 CPU cores with a fifth battery-saver core, to deliver record levels of performance and battery life.
The last section covers varied topics like animal AI, use of general purpose GPU computing to exploit the massive parallelism of modern video cards, and third-person camera systems.
A happy CUDA ARM marriage also will bring GPU computing to the ARM-dominated mass mobile computing and remote device markets with GPU accelerated apps written in CUDA being downloaded by future billions of mobile phone users.
The next generation of the Mali GPUs licensed by LG Electronics will extend the performance capabilities beyond that offered by the Mali-T678 GPU, taking graphics and GPU computing to new levels.
GPU computing lines up GPU chips next to conventional CPUs to accelerate scientific and engineering applications, like the development of code for engineering projects.
Spectraseis CEO Ross Newman said: "Oil and gas operators are harnessing the power of GPU computing for applications such as seismic survey modeling and reverse time migration.
New Delhi, May 22 -- SGI (NASDAQ: SGI), the trusted leader in technical computing, today announced the availability of a complete, managed GPU solution of its SGI(R) Rackable(TM) servers with the new high-performance NVIDIA(R) Tesla(R) K10 GPU Computing Accelerator.
BGI's EasyGenomics service uses the power of GPU computing to provide an affordable and easy-to-use method for scientists to crunch through this new genomics big data problem and get us that much closer to effective and affordable individualised treatments.