Nehalem peak gflops for bitcoin
Archived from the original on January 31,. Conclusion Unless I've completely missed something, or I have written the most horrible CPU-side code, my problem is handled much more efficiently by NVIDIA's architecture, which is not Fermi, nor GT, but the same, slightly improved version of the old GT, which in terms of computing, is much older than the state-of the art Nehalem, yet still obscenely more efficient, and my data proves it.
To get this, you have to increase theparallelism in your code. MIPS as a performance benchmark is adequate when a computer is used in database queries, word processing, spreadsheets, or to run multiple virtual operating systems.
Ok, I've created a new thread here:. Multiplied by four physical for you can reach almost 96 gflops. This "speculative optimization" is akin to driving blindfolded on the freeway, until you hear the least number of crashes. Moreover, the loading of registers and moving of data.
Discontinued BCD oriented 4-bit But if you are interested in actual peak theoretical and in fact achievable, unlike peak of those cited by bitcoins GPU producing friends numbers you can nehalem a look at this my older post http: Views Read Edit View history.
Archived from the original PDF gflops November 5,. The big bang theory S11 E09 Sneak Peak 1 Please consider expanding the lead to provide an accessible overview of all important aspects of the article.
Please discuss this issue on the article's talk page. Single-Chip Cloud Computer" , techresearch. A Xeon Phi for Deep Learning". Retrieved from " https: Intel x86 microprocessors Computer architecture Coprocessors Intel Intel microprocessors Parallel computing X86 microprocessors Manycore processors. In other projects Wikimedia Commons. Xeon Phi X .
Xeon Phi D . Unless I've completely missed something, or I have written the most horrible CPU-side code, my problem is handled much more efficiently by NVIDIA's architecture, which is not Fermi, nor GT, but the same, slightly improved version of the old GT, which in terms of computing, is much older than the state-of the art Nehalem, yet still obscenely more efficient, and my data proves it.
I cannot speak in regards to ATI hardware, as I have not had a chance to test it. Of course, there are problems which are more eficiently handled by the CPU, butnot manyare fundamentally parallel. Those numbers arethe absolut maximum achievable in absolutely perfect conditions, and in fact, repuslive asymptotes for real-life problems. I have given you a real case that is better handled by the GPU. You may show me a contrary case, or even point out some optimizations that I might have missed on the CPU side.
On my Core i7, I can run 8 threads of Prime95, run a webserver, several download managers, two to three virtual machines, a software RAID5, and game in at the same time. I couldn't do this without an efficient CPU. Ihave shelled out four years worth of savings to get my i7 system, because I needed something efficient at that. I got my GPUs because I needed something efficient at a different task. I don't like accusations flying around that GPUs are not efficient at what they do, or that Intel is dragging itself on its knees to catch up with the GPU crowd.
In some cases, the SP ones have even lower latency. However, I don't see a difference in speed and the sum reports an error so likely I need to change some more code. I'll have to get back to this. You need to double the numbers since the counter is assuming DP.
Now it works and I get twice like you said. Here are FLOPs counts for a number of recent processor microarchitectures and explanation how to achieve them: Intel Core 2 and Nehalem: I see now that the the link stackoverflow. For Nvidia Fermi I read en. Even on M4 the FPU is optional. A Fog 1, 14 You don't need to manually break the loop, a little bit of compiler unrolling and out-of-order HW assuming you don't have dependencies can let you reach a considerable throughput bottleneck.
Add to that hyperthreading and 2 operations per clock become quite necessary. Leeor, maybe you could post some code to show this? Unrolling 10 times with FMA gives me the best result. See my answer at stackoverflow.