User Experience; Game Design; Design. Build Your Own Super Computer with Raspberry Pis. Needed to build a two-node Raspberry Pi cluster, the starting point for. Creating a Raspberry Pi 3 Cluster - 'Supercomputer'. Of my experience with HPC. At this point I will just include a. Creating a Raspberry Pi 3 Cluster. Raspberry Pi Supercomputer. Do you have any experience hooking up a device to cellular service? CaDaMac 1 point 2 points 3 points 11 months ago.

A is a credit card sized $25 (or $45, for the deluxe option) computer, designed for educational use. Has anyone tried running mining software on it? If so, what's the hashrate like? (apparently the CPU is approximately equivalent to a P2 300MHz - I know the hashrate will be very low!) Also, can the GPU be used to mine? What's the hashrate for that, if it's been done. From the FAQ on the above linked site: ' The GPU provides Open GL ES 2.0, hardware-accelerated OpenVG, and 1080p30 H.264 high-profile decode. The GPU is capable of 1Gpixel/s, 1.5Gtexel/s or 24 GFLOPs of general purpose compute and features a bunch of texture filtering and DMA infrastructure.

That is, graphics capabilities are roughly equivalent to Xbox 1 level of performance. Overall real world performance is something like a 300MHz Pentium 2, only with much, much swankier graphics.' Note: The price of $25 or $45 excludes a way of powering it (via MicroUSB), a keyboard, a mouse and likely a USB hub. I think you need to provide an SD card too. The Raspberry Pi uses the VideoCore IV series of GPU, which to my understanding are either a single or dual core GPU running at or around 700 MHz. Since the primary benefit of GPU mining is that you can run many parallel processes on the hundreds of cores typically found in most GPUs, the single-core nature of the VideoCore GPU undoes most of that benefit. I don't have exact numbers, nor the necessary knowledge to compute an estimate, but I can tell you that the Folding@Home folks and came to the conclusion that an AMD Phenom II X4 940 was almost 5 times as efficient for their needs as utilizing both the CPU and GPU of the Raspberry Pi.

Since the needs of Folding@Home are very similar (but not identical) to Bitcoin's, it's probably not a stretch to say that if CPU mining (admittedly with a fairly nice CPU) is 5x more efficient, the Raspberry Pi doesn't look like a strong contender. Of course, until we have solid MH/s and actual at-the-wall wattage numbers it's very difficult to say if, at scale, a cluster of $35 Raspberry Pis could compete with other setups on initial price or power cost. Personally, I'd guess not. The one thing I should probably answer on is about the difference between OpenGL / OpenGL-ES and OpenCL. Both OpenGL and OpenCl can be used for SHA256d hashing, but OpenCl is used much more frequently. Where as GL means Graphics Language and CL stands for Compute Language.

GL is for graphics and CL is for mathematical and scientific calculations. While your system may have OpenGL support of some sort, it's more than likely doesn't have OpenCL 1 & 2 support for the GP-GPU (VideoCore IV) which would allow you to get okay to medium hash rates. As I see to remember, the VideoCore IV in the Pi doesn't support it in hardware (OpenCL version 1 or 2). Which means you'd have to rely on those ASIC miners that are connected via the USB port hub or even a dedicated mining rig that is connected via the UTP network connector (RJ-45 jack / Ethernet). Well, at least we're having a good amount of information / data coming out so the next people that read this will have a good idea on what to do with their RPIs if they want to do any mining. I will step up and answer the Raspberry Pi question too.

The RPI in and of itself is not worth using to do virtual currency mining on by itself. However, if you a nice powered USB hub and connect in the ASICs that plug in via the USB ports and download the proper software that can access these devices, then you've got a descent mining rig to speak of. Note: Due to the way in which the ASICs are designed, they can only do SHA256D and that alone although, performance per watt is the best way to go. Essentially, all the RPI does is act as the surrogate for all the ASIC slave units and constantly feeds them data and ferries the data hashes back and forth from their source. You can't use Scrypt with these USB ASICs at all. Is GameCredits GAME Mining Still Profitable 2018.

You'll be stuck using the GETWORK protocol until someone can come up with an ASIC that can do both SHA256D and Scrypt. One last thing, you may have heard of the Stratum protocol vs. The old GETWORK protocol.

This can be used with Scrypt or SHA256D algorithms. Stratum helps you get less stale and has even better network performance than the old protocol.

Hope this clears things up like my message above. Do you even know what FLOPS are, first off? FLOPS stands for FLoating-point OPerations per Second. Hashes are calculated via signed integers in the form of hexadecimal numbers, those numbers are then run through a series of logical operations (You know; AND, OR, NOR, XOR, NAND).

FLOPS means absolutely jack when it comes to your processing speed of your Hash Bashing rig (your crypto-currency mining computer). ATI cards are known for their single-precision floating point performance over Nvidia, that much is true. ATI also has better signed and unsigned integer performance than Nvidia does too.

ATI has slightly better logical operations per second than Nvidia does. Now, floating point is screaming fast on the ATIs as compared to the Nvidia but it's too bad it's not actually being used for SHA256D and Scrypt. Integers both signed and unsigned actually take less time on the CPU or GP-GPU to calculate and thus much faster. The logical operations are the slowest and since you use a combination of both logical and unsigned integer you get a composite average of the performance between the two and of course the implementation of the mining application. If it's done correctly, you should get around 85 to 90% maximum of what your card or embedded system claims it's capable of doing.

Simply put, you will never achieve 100% because you have an operating system that is using the card and of course interfacing to the rest of the system. While the indicators tell you are getting 100% of the cores, what it's really means is that you are getting 100% of the 85 ~ 90% theoretical maximum you can achieve with the hardware you have. I hope this clears things up for y'all.

So by the (very, very rough) estimate that the graphic card might achieve a similar number of integer operations per second as it does for floating point operations, you can guess that maybe 10 MHash/s might be in the realm of possibility, if you can get documentation for programming it (sign a non-disclosure agreement with the manufacturer?). I'm using the ballpark figure of ca. 2000 to 3000 integer operations per double SHA-256 hash to get this from the guess that 24000 MIPS (based on 24 GFLOPS) are available. – Nov 21 '13 at 10:22.

In retrospect, it was only a matter of time before someone. The Raspi supercomputer is the result of a project headed up by University of Southampton professor [Simon Cox]. Included in the team are a gaggle of grad students and [Simon]’s 6-year-old son who graciously provided the material, design, and logistics for the custom LEGO case. The Iridris-Pi supercomputer, as the team calls their creation, consists of 64 Raspberry Pis, all configured for parallel processing using a lightweight version of. [Simon] was kind enough to put up for turning two (or more) Raspberry Pis into a supercomputer.

The machine has a full 1 TB of disk space provided by a 16 GB SD card in each node. Although the press release doesn’t go over the computational capabilities of the Iridris-Pi, the entire system can be powered from a single 13 A supply. If you’re wondering what it would take to get a Raspberry Pi supercomputer into the, a bit of back-of-the-envelope computation given the and the fact the 500th fastest computer can crank out about 60 TeraFLOPS/s, we’ll estimate about 1.4 Million Raspis would be needed. At least it’s a start. Posted in Tagged, Post navigation. It is a super computer, 64 raspis equalls enough juice to down 76.5 Microsoft servers with out the use of a low orbit Ion cannon node connection. Obviiusly You do not understand power, much less higher mathematics.

Noobs like you should learn more before they choose to dain us with their special brand of ignorance. That being said, you can get the much power from 4 factory specked, windows 7 laptops (8-10 versions are as per microsofts par complete crap.) Linux’s processing prowess and speed would orobably need 3.

Point being a true beowulf cluster is any number of factory based pc’s or Laptops that when combined together create a stronger set of variables to complete a set task. All beowulf clusters are super computers, but not all super computers are beowulf clusters. In all honesty, if I combined the motherboards from 3,250 tandy made Commodore Vic 20’s the speed of tgat creation would be on par with a small oortable mainframe from the 80’s.

I could then argue that it too was a beowulf cluster. My point is be inventive and original nit ignorant and uninformed like Don. Oh and Don, before you give me lip, I should point out that I am a genius, with an autodidactic nsture, who is completely self taught in all things computer. This includes programming, building, soldering, and anything else I need to learn on the fly that has to do with computers. I have 33 years of experience in the technical side of things and promise you that I know where if I speak. Also have 12 degrees including 5 from M.I.T.

GRADUSTED WITH HONORS AND I AM A PROUD MEMBER OF MENSA. Just letting you know before you try arguing. It saves you time and energy, and me the trouble.

I don’t understand the 13A current number. If 64 RPis can be powered by 13A, that would be 203 mA– much lower than the recommended 700mA rating. OK, 3.5 fold headroom– I can of see that (sort of). But looking at the original article, their cluster “runs off a single 13 Amp mains socket.” In which case, that number means nothing. The UK uses 220V, which at 13A is 2800W. Assuming 80% efficiency going down to 5V, means it could supply 457 A at 5V which should be enough to power a lot more than 64 RPis. Looking into this further, I don’t think the 13A refers to the power supply but rather to the outlet.

Look at which describes the electrical outlet standard used in the UK. It turns out that 13A is one of the outlet current ratings.

I agree with you that the current consumption _might_ be that low (or even lower) without using USB/HDMI but I think the summary “entire system can be powered from a single 13 A supply” part is an incorrect reading of “runs off a single 13 Amp mains socket” from the original article. From my observations over the last few days, I’d say ~250 mA is the standby current for an idle RasPi, with around 400 mA being normal for one under high load (e.g. Compiling programs). The only thing connected at the time was a network cable, but the only thing it was being used for was SSH. Therefore, I’d say 200 mA is too low – 13 A almost definitely refers to the mains supply, and being yet another reminder that the unit they should have used is watts, esp. Since with that number of nodes, it might be more efficient to have a single 3.3 V regulator for the entire cluster.

I disagree with your statement. This is an interesting build and you’re upset because it has the Raspberry PI “buzzword” in it. The people who developed the Raspberry PI are trying to further the education of this field. Most of the negative comments are about shipping of personal units and not about the build. Is hackaday not about making or modifying your own equipment (make a supercomputer).

This site has a broad audience and isn’t tailored to an esoteric group that wants to exclude others because there’s a high standard not met. How about elaborate on your comment and maybe people can debate about it, a passive aggressive remark doesn’t prove anything. My comment on the build: It is interesting and the experience making one is probably worth it but I don’t think of it as an alternative money/dollar value for FLOPS. I would love to get a couple RPI’s and start getting my nephew interested this field!!! Wait a minute R ” It’s like saying, a 1.5 GHz Dual-Core CPU can process more than a 2 GHz Single-Core CPU.” You have to be careful about making statements like this – two 1.5GHz cores working concurrently CAN do more work than a single 2GHz CPU. This differentiating factor is that you’ll need to be able to split the processing between two cores. A single-threaded application will perform better on a single 2GHz CPU.

But if it was a two-process application, the dual core will perform much better. Some graphics cards have over 1000 cores so they can divide a large problem into much smaller problems which can be distributed amongst the cores. Oh the horror, if someone did this as a PR stunt im sure theyr getting fired or sued. Its one thing to pull off a technical feat to get people to buy, but when some people have been waiting over 6 months for ONE unit PREordered, it makes people cancel thier orders and buy something else, something they can own without having to “pray” or “hope for” (*%*&% sakes, this isnt a date, lottery, or even a mystery.

If you cant fucking ship them, dont fucking take orders and then deliver to someone else. Thats called being an ass and im sure there are people canceling thier orders en-masse right now. And someone getting fired EITHER THAT OR THE PERSON THAT MADE THIS SUPER-PI ROBBED A TRUCK FULL OF EM! Don’t forget about the 26 GFlops capability of the graphics unit that can be used for Gen Purpose number processing.

A rough order of magnitude comparison is an i7 980X gets about 109 GFlops. So about 5 Raspis running a fully parallel benchmark could equal an i7. Assuming 100% efficient use of GPU processing would only require 2308 Raspis to make 60 TFlops. Derate that to 50% and you are still fewer processors and less heat than some of the other massively parallel processors in the top 500. Many of these are also GPU based. I like the idea of using the low cost Raspberry Pi.

I tried, in the past, to use two VIC-20’s to share processingbut this was a pipe dream of an 8 year old. I am an avid user of the Raspberry Pi AND Arduino architectures, The idea of nodal computing is fascinating, and should not be berated. I have a dislike when it comes to people saying that they “wasted money” or “get a bigger machine.” I applaud the users in their responses, but pleaserememberthinking outside of the box makes you the imaginative genius that separates you from the molded masses. Happy Friday everyone, and help enlighten those around you of what IS possible, and NOT what isn’t.;).