![]() Also you don't have complete memory access, due to your optimized architecture.īoth can be worked around, for instance a common method to use functions that have interesting properties, like max(0,min(1,x)) which returns x unless it is outside 0,1 in which case it returns the boundary. You can't branch, as your logic preparation knows nothing about the data. This provides two significant problems of course. Make its access to memory local which helps ease the pain of connecting that many workers to data. Put the logic to decide what to do external of the working logic, and batch it to all the workers. This allows GPU makers to make two major optimizations. A point or pixel only needs to know a little bit about its near neighbors and nothing else. You have a screen of 2 million pixels and you want to run a program on each pixel. ![]() However GPUs are designed to do visual transformation which have several nice properties: Modern processors are slowed down by two things the most: doing something different (branching) and accessing memory.īecause the #1 purpose of a CPU is to do generic data transformation, both of these actions are very important. To expand on your answer, there are two things that allow GPUs to be so much faster than CPUs. Other examples of common uses for hardware acceleration include movie processing, physics calculation in games and simulations and math processing. In such a system the graphics are said to be "hardware accelerated", which means that you have specialized hardware to do certain types of processing very fast. So if you had to process graphics, your CPU will hand them off to the GPU and wait for the result. A GPU is a specialized chip that can perform graphics operations several times faster than your CPU can. A Graphics processor or GPU is a very good example of this. It is possible to build circuits that do only one thing, and do it very well.įor instance, if your computer didn't have to do deal with integers, it is possible to construct a specialized processor that processes only floating point numbers at much higher speeds. ![]() This comes at a cost, speed and efficiency. What that means is that the circuits and low level code for it are designed to be adaptable to perform a wide variety of calculations easily.
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