Xeon sandy bridge gflops for bitcoin
Post results as soon as it is done. I understand it and I don't want to compare and I simply would be glad to see some numbers from Linpack utility. If I would have a Haswell system I would do the test without any problems. When testing my Ivy Bridge system with two different Linpack benchmark utilities from Intel and Non Intel from another source only Intel's utility gave very consistent results. Once again, why wouldn't you try to run it? If you don't have MKL I could upload all content of a..
Once again, I don't what to compare Linpack number with a number from your own test. What Haswell system do you have? Thank you very much! I'll also post results for systems with Ivy Bridge and Pentium 4 for comparison. Please explain because it is more than twice greater than the best number in the 2nd test of bronxzv I have not seen any results from MKL on Haswell.
I've ported my dgemm to use FMA3 which Haswell supports. On 1 core, with a fixed frequency 3. I'm not observing that the efficiency is scaling though with multiple cores.. Lastly these are preliminary numbers. I thought I'd also post that I've not been able to get a read bandwidth from the L1 that saturates at 64B per clk..
L2 bandwidth is no where near 64B per clk.. If you have any results on cache io.. Might be able to get a bit more.. Just thought I'd update.. I've ported my dgemm Building for IB is pointless.. M and N are large and K is small. For the boeing sparse solver.. N can also be small. K is somewhat tunable.. Assymptotic efficiency is Amdahl's law is coming into place and the overheads of doing this "real" computation..
I think I'll improve it as time goes on.. On a HW with 4 cores running at 3. As far as algorithm.. I'd rather not divuldge my techniques but there's lots of documentation on this subject.. It's my own code and just a hobby.. You'll learn alot about performance which isn't documented or discussed.. I don't get it and Ivy Bridge systems will be around for a long time. There is nothing wrong when comparing results for major lines of Intel microarchitectures even if some microarchitecture doesn't support some set of instructions!
What Time Complexity do you assume as a base? Theory is very strict here and there is nothing classified for matrix multiplication algorithms regarding Time Complexity. For example, here is a table:. Details could be found here: It's my own code and just a hobby Just posts results for a couple of cases in seconds since it will be easier to compare. The reason I post results in seconds because I need to know exactly that product of two matricies could be calculated in some limited period of time.
Results in GFlops are useless in many cases because I hear all the time questions like How long does it take to compute a product of two matricies with some dimensions NxN? Keep in mind, however, that that these are peak theoretical numbers; depending upon how much your applications can take advantage of FMA, the performance gains could be far lower see our Detailed Specifications.
Another dramatic comparison is the Xeon E v2 2. The main reason for this substantial improvement is the new AVX 2. However, end users who are willing to invest slightly more will find attractive new SKUs to leverage in their clusters, servers, and workstations. Customers may choose to apply the savings towards their DDR4 memory capacity. Some end-users found the earlier C chipset needed to be supplemented to meet their needs.
I purchased these to be used in a production server and they have been working flawlessly. My Xeon E5 arrived last week and I couldn't wait to get this puppy installed. I've thrown every program that I own on it and it performed flawlessly. It can do it. SHA is officially my bitch.
Please excuse me, I'm about to go take out the Bitcoin protocol. See all 3 reviews. Pages with related products.
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