Mining bitcoin gpu gflops

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Most computers have multi-core CPUs nowadays which is almost the same thing as having multiple CPU's in a single physical package.

How powerful is the bitcoin network? Ships Gpu San Francisco! There is no direct conversion between FLOPS floating point operations per second and hashes because for involve integer operations whole number math and FLOPS involving obviously floating point math. Gflops you are in bitcoin rush, you can designate Expedited?. Hash Algorithm see all. Questions Tags Users Badges Unanswered. To write the description of the A8, I am extrapolating from the current technology and other news.

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. Hero Member Offline Activity: We will try our best to reduce the risk of the custom duties.

ElectricMucus Legendary Offline Activity: One hash gpu gflops for bitcoin is considered as bit. Efficiency, very quiet, stable gpu. According to their website, "Primate Labs' flagship product, Geekbenchis the leading bitcoin processor and memory benchmark tool.

Show only see all. Delivery Options see all. Bitcoin prices for still going up and very strong. Either SHA or scrypt is doing integer arithmetic operations. By posting your answer, you agree to the privacy policy gpu gflops for bitcoin terms of service.

Bitcoin Stack Exchange is a question and answer site for Bitcoin crypto-currency enthusiasts. Join them; it only takes a minute: Here's how gpu gflops for bitcoin works: Anybody can ask a question Anybody can answer The best answers are voted up and rise to the top.

Most important spec to look for on a GPU for scrypt mining e. By taking a look at all the current AMD cards comparison: Also I'm aware that power consumption is another key factor. Still in the comparison chart above there are more specs that could be important I guess: I use this to discuss CPU and general system performance.

Gpu gflops for bitcoin can stand in for a whole slew of specific tests, each with its own bias. It is somewhat theoretical in nature i. I will use the ratings listed in reviews on the superlative AnandTech website as my guide. These should be relatively consistent, which is what we are looking for. We need to note that gpu gflops for bitcoin are all bit tests because they do not have a bit version for mobile processors.

To continue on point 3, since it is the square area that counts, if Apple does go to the TSMC 20nm process, then they will have almost double the real estate to play with if they stick to the same size chip. This would easily allow them to go to quad core processor. The A7 GPU sports 4 processing cores that deliver impressive performance. Gpu gflops for bitcoin we have two tables from AnandTech. The first shows the data for the new iPad Air, showing a rating of Last year's gpu gflops for bitcoin used the Here the differences in performance are much greater.

If gpu gflops for bitcoin new chip evolved from the A7, it would need 6 times the processing power to match that of the current MB Air. But, to meet the performance of last year's HDGit would only need to triple. In fact, the iM used in the current Mac Mini listed above uses the To understand the options here, we need to understand the GPU technology they use. The rest of the handout discusses compute power, power efficiency, and other technical topics, but here is the key for this discussion: In the figure below, look at the yellow shaded area.

The architecture of the system is such that all the other logic remains virtually unchanged as you build in more of these USCs. Therefore, tripling the compute power will not mean tripling the overall Gpu gflops for bitcoin area, and can be done without a lot of reengineering work.

Of course the units in this diagram are not drawn to scale, so it is impossible to tell exactly how much the die will grow. Yet it is clear that this is a very manageable task. With the jump to 20nm technology for gpu gflops for bitcoin year's A8 processor, Apple will have real desktop power in its stock chip. It will be easy for Apple to double the power or close to it of the CPU, and triple the power of the GPU, and this will bring it right into modern desktop class.

I expect the A8 to sport a quad-core CPU, perhaps even a 5-core CPU with the fifth core running very low voltage for energy savings on background tasks. It will maintain the surprising lead it has on single core processing, and jump ahead in multi-core processing, since it will now also have 5 cores.

The A8 GPU will show a huge gain, sporting somewhere between 12 and 24 processing cores. It will jump to match at least Intel's HD Graphics Particularly gpu gflops for bitcoin the tablet market, this will differentiate the iPad, particularly wherever the power is needed, such as scientific and medical graphic applications.

Obviously, this will be ideal for the new iPad Pro, the 13 inch model that speculation has coming early in While this is only rumor, not only is there so much noise on the topic, but it is clearly the next gpu gflops for bitcoin step, and so I think it very likely. In the next article in this series, I will discuss what this new A8 chip will mean for the new iPad, and what features to expect. As noted above, competition in the mobile device field is fierce.

In spite of Android holding greater overall market share, Apple's iOS continues to dominate the premium market. But head gpu gflops for bitcoin do not always last. Samsung has announced that they will gpu gflops for bitcoin their own smartphone with a bit processor some time this year.

So Apple needs to maintain its lead if it intends to continue its dominance of the high end portion of the mobile market. Gpu gflops for bitcoin is absolutely critical for the company's continued success!

Where have all the Androids gone? December Surprise - Apple Trounces Dell. I am long AAPL. I wrote this article myself, and gpu gflops for bitcoin expresses my own opinions. I am not receiving compensation for it other than from Seeking Alpha. I have no business relationship with any company whose stock is mentioned in this article.

Caveat I have no direct knowledge of Apple's plans. Therefore this article is educated speculation.

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First, just to clarify, the CPU, or central processing unit , is the part of the computer that performs the will of the software loaded on the computer. It's the main executive for the entire machine. It is the master that tells all the parts of the computer what to do - in accordance with the program code of the software, and, hopefully, the will of the user.

Most computers have multi-core CPUs nowadays which is almost the same thing as having multiple CPU's in a single physical package. The CPU is usually a removable component that plugs into the computer's main circuit board, or motherboard and sits underneath a large, metallic heat sink which usually has a fan, a few are cooled by water. The GPU, or graphics processing unit , is a part of the video rendering system of a computer.

Servers usually have very limited or no GPU facilities as they are mostly managed over a text-based remote interface. Powerful GPUs are needed mostly for graphic intensive tasks such as gaming or video editing. For example, the translucent windows in Windows 7, or technologies like Mac OS X's Quartz, which powers the Aqua desktop and its beautiful, water-like graphical effects and animations such as bulging the Dock in a smooth animation when the mouse is moved to the lower edge of the screen or "sucking" windows into the Dock when they are minimized - these are powered by GPUs.

These are the differences that make Bitcoin mining far more favorable on a GPU. This is a difference of or in case of AVX times more instructions per clock. As of , the fastest CPUs have up to 6, 8, or 12 cores and a somewhat higher frequency clock MHz vs.

A CPU is designed primarily to be an executive and make decisions, as directed by the software. For example, if you type a document and save it, it is the CPU's job to turn your document into the appropriate file type and direct the hard disk to write it as a file.

CPU's are also highly 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. A GPU is very different. 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 a result, they can do large amounts of bulky mathematical labor in a greater quantity than CPU's.

One way to visualize it is a CPU works like a small group of very smart people 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. The structures that make CPUs good at what they do take up lots of space. 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 on 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 each attempt 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, to date, offers the best known performance of any video card for this purpose. This particular card has 3, "Stream Processors", which can be thought of as 3, very dumb execution units that can be trained to all do the same repetitive task, just so long as they don't have to make any decisions that interrupts their flow.

Those execution units are contained in blocks. The uses a VLIW-5 architecture, which means the 3, Stream Processors are actually "Cores," Each able to process 5 instruction per clock cycle.

Nvidia would 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 count alone is not an accurate method of determining performance, and this is also why nVidia lags so far behind ATI in 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. Bitcoin mining requires no decision making - it is repetitive mathematical work for a computer. 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. Secondly, another difference favoring Bitcoin mining on AMD GPUs instead of Nvidia's is that the mining algorithm is based on SHA, which makes heavy use of the bit integer right rotate operation.

This alone gives AMD another 1. See Some Performance Specs Below:. Retrieved from " https: Navigation menu Personal tools Create account Log in. Views Read View source View history. Sister projects Essays Source.

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