What is GPU

1.

Graphical processing unit, suitable for the intensive computation. Mostly build by AMd and NVIDIA. Learn more in: Efficient Prefix Scan for the GPU-Based Implementation of Random Forest

2.

Graphics processing units are specialized logic chips devoted to rendering 2-D or 3-D images. Display adapters contain one or more GPUs for fast graphics rendering. Learn more in: 3-D Visualization on Mobile Devices

3.

It stands for a graphics processing unit and is located in the computer graphic card. Calculations and final rendered images are generated faster when using GPU. Learn more in: The Presence of the Uncanny Valley Between Animation and Cinema: A Communication Approach

4.

Graphical processing unit. A specialized processing unit used for fast rendering of images on the computer display. GPU usually consists of several hundred processing elements. GPUs can also be utilized for general computing. Learn more in: The Future of Supercomputers and High-Performance Computing

5.

(Graphics Processing Unit) is a specialized integrated circuit designed thousands of small and efficient cores to handle multiple tasks simultaneously. Learn more in: Real-Time Image and Video Processing Using High-Level Synthesis (HLS)

6.

A Graphics Processing Unit (GPU) comprises of hundreds of cores, which is able to handle thousands of threads simultaneously Learn more in: A Survey of Parallel Community Detection Algorithms

7.

Graphics Processing Unit, a single-chip special purpose processor primarily used to manage and boost the performance of video and graphics, also used for acceleration of regular structured simple parallel computational tasks. Learn more in: The Future of High-Performance Computing (HPC)

8.

GPU stands for graphics processing unit is a single chip processor mainly used for fast processing. Learn more in: An Introduction to Clustering Algorithms in Big Data

9.

Graphical processing unit. They are used in computers to enable sending a video signal to the monitor. Learn more in: High-Performance Computing for Theoretical Study of Nanoscale and Molecular Interconnects