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For example, if you type a document and save hashrats, it is the CPU's job to turn your document into the appropriate file type bitcoin hashrate gpu gflops direct the hard disk to write it as a file. CPU's are also bircoin capable of following instructions of the "if this, do that, otherwise do something else". A large bulk of the structures inside a CPU are concerned with making sure that the CPU is ready to deal with having to switch to a different task on a moment's notice when needed.
CPU's also have to deal with quite a few other things which add complexity, including: Yes, a GPU can do math, and can also do "this" and "that" based on specific conditions. However, GPU's have been designed so they are very good at doing video processing, and less executive work. Video processing is a lot of repetitive work, since it is constantly being told to do the same thing to large groups of pixels on the screen.
In order to make this run efficiency, video processors are far heavier on the ability to do repetitive work, than the ability to rapidly switch tasks. As link result, they can do large amounts of bulky mathematical gp in a greater quantity than CPU's.
Analogy One way to bitcoin hashrate gpu gflops it is a CPU works like a small group of very smart bitcoin hashrate gpu gflops who can quickly do any task given to them.
A GPU is a large group of relatively dumb people who aren't individually very fast or smart, but who can be trained to do repetitive tasks, and collectively can be more productive just due to the sheer number of people. It's not that a CPU is fat, spoiled, or lazy.
On silicon chips, size is expensive. When those structures are omitted, that leaves plenty of room for many "dumb" ALU's, which individually are very small. They can either all work hashrae nearly identical variations of one single task, in perfect sync with one another, or nothing at all. Trying different hashes repeatedly - the process behind Bitcoin mining - is a very repetitive task suitable for a GPU, with hashrage bitcoon varying only by the changing of one number called a "nonce" in the data being hashed.
The ATI Radeon is a popular video card for Bitcoin mining and, bitcoin hashrate gpu gflops date, offers the best known performance of any video card for this purpose.
Those execution units are contained in blocks. Nvidia bitcoin hashrate gpu gflops call these cores "Cuda Cores", but as mentioned in this article, they are not VLIW, meaning they cannot do as much work per cycle. This is why comparing graphics cards by core ibtcoin alone is not an accurate method of determining performance, and this is also why nVidia lags so far behind ATI gflosp SHA hashing.
Trying a single SHA hash in the context of Bitcoin mining requires around 1, simple mathematical steps that must be performed entirely by ALU's. The only decision making that must be made in Bitcoin mining is, "do I have a valid block" or "do I not".
That's an excellent workload to run on a GPU. Because of this VLIW vs. This alone gives AMD another 1. See Some Bitcoin hashrate gpu gflops Source Below:. I apologise, but, in my opinion, you are not right. I can defend the position. Write to me in PM. Categories Popular Mining history new zealand Bitcoin hashing power calculator 8 times Btc mining calculator 02 Bitcoin mining payout calculator exponential function Bitcoin contract killer be about it t shirt News Bitcoin mining return on investment college Cloud coin pool heat.
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