Tag Archives: cores

My idea demo video of Open MPI with GPU CUDA on 3000 cores for under $1000? Redis high speed in memory database. R rules!!

HI there

5. All the major components are identified for this potentially potent open source based HFT system. The next big struggle is bringing in the highly expensive strategy and modelling algorithms like Bayesian or Markov Chains Monte Carlo. If you are new to this, watch this video
So you can see I am sending out lots of free research and external presentations that are worth thousands for each person that visits. I am very close to a point where things will go proprietary with my future operation. This will mean the QuantLabs.Net Premium Membership rate will be going up quite a bit. Hey…I may even make it exclusive by invite only for those on my well connected team. Or I may even close it off sometime if this turns into something profitable. In short, join this membership while you can as well as while it is affordable.
Hope this helps you out
Thanks Bryan

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Ultimate secret HFT revealed! Youtube demo of C++ Open MPI possible with Nvidia CUDA GPU boards of 3072 cores priced $999 #hft

Ultimate secret HFT revealed! Youtube demo of C++ Open MPI possible with Nvidia CUDA GPU boards of 3072 cores priced $999 #hft

Who would think I would have reached this point. Video makes reference to the following link:

https://quantlabs.net/blog/2012/11/holy-hft-c-open-mpi-possible-with-nvidia-cuda-boards-of-3072-cores-priced-999-cuda-openmpi-hft/

So? Get more dirty little details through my FREE frequenctly sent newsletter to build this stuff!

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How many cores are needed to demarcate “High Performance” these days?

How many cores are needed to demarcate “High Performance” these days?

I can remember when 32 cores meant you had a great deal of processing power. So what constitutes “High Performance” in your mind these days?

I would like to share an astute observation (first heard them from my good friends Steve Gombosi and Jeff Kuehn) – If it is to be classified as a “supercomputer” (or HPC) system, then it must be able to turn the older compute bound problem into an I/O bound problem!
So the number of cores do not matter, it is how you harness them together to achieve a quanta leap forward that makes it “HPC”

That’s a good one, tell Steve and Jeff I will have to “borrow” that quote. For some of what I am doing with retrograde analysis of endgames (finding very long checkmates in the game of chess and long wins in the game of checkers) I can become I/O bound very quickly with as few as 8 cores fully engaged. I am looking into making the process more parallelizeable, but I hit the Amadahl’s Law limit rather quickly because the I/O bound portion is inherently serial. Now if hard drives were only as fast as RAM, there would be no problem

 

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Quant development: Massive Parallel Computing(20000 cores) Vs Small 1600core SMP Cluster

 

Quant development: Massive Parallel Computing(20000 cores) Vs Small 1600core SMP Cluster

What information should be needed to ask so that you can make a reasoned assessment and recommendation between this two options?

By “SMP Cluster” do you really mean “cluster of SMPs” ? Or do you mean a single
shared memory address space for hundreds of processors?
If the latter, what systems are you considering and how would you program it?

Are you really trying to ask if multi-threading is better than message passing at this scale?

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