What is GPU Computing?

by Jerry Townson 12. April 2014 16:11

Used in offices and data centers around the world, GPU computing can speed up the performance of certain tasks and applications. A graphics processing unit (GPU) has many elements called cores; there are thousands of them, making the system more efficient in handling certain types of applications. By comparison, a central processing unit (CPU) features just a few powerful cores. While able to handle any general computing task, is not always the most efficient.

 

What’s the Secret to the GPU’s Power?

 

Most computer code still runs on the CPU. Some applications however are highly parallel in nature, and these parts of an application which require a lot of computing power can be directed away from the processor to the GPU. The result is less work for the CPU to perform. Graphics acceleration involves the processing of those parallel workloads on the thousands of processing cores inside the GPU. For the user, this simply means complex applications can run faster.

 

The use of GPU acceleration has cut the time needed for many computing intensive tasks. These include software development, programming, data analysis, simulations, business intelligence, 3d rendering and video encoding.

 

General Technics Provides Fast and Reliable Computing Systems

 

GPU acceleration is becoming more commonplace in all kinds of businesses. It can be used in high-performance servers, workstations, ruggedized laptops, and even desktops. You may have applications that can benefit GPU acceleration, thus saving you both time and money.

 

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