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381  Other / Off-topic / Re: BFL Preorders -- What did you get? on: June 23, 2012, 11:51:55 PM
Have 3 Jalapenos on order.
382  Other / Off-topic / Re: BFL Quality Control on: June 23, 2012, 10:53:17 PM
I mean no offense to old ladies.  But THIS IS THE PERSON who BFL has doing quality control?!!?!?!?!?  That explains why GigaVPS mini-rig died in one freaking day LOL  --

But seriously.  How can you not question the talent\skill level of an 80 year old woman?  THIS is the person who is in charge of making sure your asic\fpga device is working.

BFL is looking worse by the day.

Wow, I don't know where to start with this one, since you clearly lack any understanding of how these rigs work.

First of all, this woman is testing FPGA boards. Since the vast majority of those boards worked just fine, I'd say she's done her job fairly successfully. Even entire QA teams fail to spot every single dud product.

Secondly, the issue with Giga's rig was with the PSU, which should have been tested by Thermaltake (who, by the way, do have an entire QA team).

Hereforth, we can deduce that BFL's QA tester has done her job better in this instance than Thermaltake's (presumably young male) QA tester.
383  Economy / Services / Re: Selling Content: Blogging, Reviews, Editorials & Press Releases on: June 23, 2012, 08:26:35 PM
Thanks for the review. Enjoyed working with you. ^^
384  Other / Off-topic / Re: BitForce SC - release notes on: June 23, 2012, 08:22:36 PM
Kindly asking BFL to postpone (1+ week) to allow time to put move more $$ to BTC

Concur with this. Would like BFL to announce a pre-order date at least 72 hours in advance to give people time to move funds to BTC.
385  Other / Off-topic / Re: [COMMUNITY] Let's buy a SC Single together! It's cheaper than a Jalapeño! on: June 23, 2012, 07:58:37 PM
For those of you who are skeptical of my credibility:
Well, you cannot deny that starting a competing business is not quite fair.

I mean: could one person be a CEO of Samsung, Microsoft, Google and Apple at the same time?

If that person started all of the companies, then yes, they very well could.

I don't plan on this competing with GLBSE assets, because it will be a more private one.


I'll be back in about an hour to answer further questions.

Garr, the issue here is if all of those companies were private wholly owned by an individual or company it would not be an issue.

The issue comes up with diluting shareholder value of Cognitive by starting up competing companies.

This isn't a company, it's a joint venture.
386  Other / Off-topic / Re: [COMMUNITY] Let's buy a SC Single together! It's cheaper than a Jalapeño! on: June 23, 2012, 07:54:00 PM
What happens if you decide to liquidate the single sometime down the line? Will co-owners be given first option on purchase?

I could be interested in this, with the necessary confidences.
387  Economy / Goods / Re: Gold for your Singles (or any other FPGA miners). on: June 23, 2012, 07:05:37 PM
Why would Singles be worthless? The trade-ins pretty much bottom out the price at $599.
388  Other / Off-topic / Re: BitForce SC - release notes on: June 23, 2012, 07:01:16 PM
My solution:

Open up a pre–order list from Monday till mid–july, then close it.

This will give everyone ample time to order

Make an inventory of what has been ordered and start producing exactly that amount

When all the pre–Orders have been produced, pack them and ship them off at the same day in october, be it jalapenos, singles or rigs.

That way everone will receive their products around the same time



This is the most fair proposal I've heard.

+1.  Announcing a preorder a day before you do it and not even posting the announcement on your website is a little.. weird.

+2. Fair for everyone.

+3 this is a fair solution.

+4 BFL please read this and change your plans.
389  Other / Off-topic / Re: BitForce SC - release notes on: June 23, 2012, 09:12:40 AM
I concur with a lot of the posts here, please open pre-orders at a set time, for a set period, and make sure that everybody who orders in that period has their products shipped simultaneously.

Ideally, limit the value of those orders per customer to ensure that you do the best you can not to be a part of a 51% attack.
390  Economy / Goods / Re: GCX: Gaming Currency Exchange (Eve, SL, MTGO, Request Others) on: June 23, 2012, 07:50:42 AM
Hello Luceo,

I like your idea of trading Eveonline GTC (ETC). This type of trade isn't in violation of CCP's EULA since it's an out-of-game item, right?

Correct, GTCs are legal to trade for cash and are not against CCPs EULA. The reason CCP does not allow RMT is because of macro miners and account thieves, neither of which can get a GTC for you.
391  Economy / Services / Re: Need someone to setup openvpn on ubuntu server on: June 21, 2012, 10:06:00 PM
I can do it right now, PM me or message on IRC.

Will do it over ssh, I've done it a bunch of times before.
392  Bitcoin / Mining / Re: Run my program in your Nvidia GPU (for bitcoins) on: June 21, 2012, 11:07:07 AM
I tried the Makefile you PM'd me, got this output.

I tried modifying my 'working' Makefile (the one I sent you output from for CUDA), but no luck:

Code:
(3:648)# make
mkdir -p build/common
mkdir -p build/optimization
mkdir -p build/neural
mkdir -p build/genetic
mkdir -p build/game
mkdir -p build/tasks
mkdir -p build/loop
mkdir -p build/loopTest
mkdir -p build/test/
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/test/testMemoryLosses.cpp -o build/test/testMemoryLosses.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/common/chronometer.cpp -o build/common/chronometer.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/common/dummy.cpp -o build/common/dummy.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/common/enumerations.cpp -o build/common/enumerations.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/common/util.cpp -o build/common/util.o
/usr/local/cuda/bin/nvcc -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -g -G -c -arch sm_11   src/optimization/cuda_code.cu -o build/optimization/cuda_code.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/optimization/factory.cpp -o build/optimization/factory.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/neural/interface.cpp -o build/neural/interface.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/neural/connection.cpp -o build/neural/connection.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/neural/neuralNet.cpp -o build/neural/neuralNet.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/neural/layer.cpp -o build/neural/layer.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/neural/inputLayer.cpp -o build/neural/inputLayer.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/neural/buffer.cpp -o build/neural/buffer.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/genetic/individual.cpp -o build/genetic/individual.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/genetic/task.cpp -o build/genetic/task.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/genetic/population.cpp -o build/genetic/population.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/game/reversiBoard.cpp -o build/game/reversiBoard.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/game/board.cpp -o build/game/board.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/tasks/reversiTask.cpp -o build/tasks/reversiTask.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/tasks/binaryTask.cpp -o build/tasks/binaryTask.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/tasks/classificationTask.cpp -o build/tasks/classificationTask.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loop/rangeLoop.cpp -o build/loop/rangeLoop.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loop/enumLoop.cpp -o build/loop/enumLoop.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loop/genericPlotter.cpp -o build/loop/genericPlotter.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loop/plot.cpp -o build/loop/plot.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loop/loop.cpp -o build/loop/loop.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loop/joinEnumLoop.cpp -o build/loop/joinEnumLoop.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loop/test.cpp -o build/loop/test.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loop/parametersMap.cpp -o build/loop/parametersMap.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loopTest/taskPlotter.cpp -o build/loopTest/taskPlotter.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -m32 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -c src/loopTest/chronoPlotter.cpp -o build/loopTest/chronoPlotter.o
/usr/local/cuda/bin/nvcc -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DCUDA_IMPL -DSSE2_IMPL -L/opt/cuda-toolkit/lib64 -lcudart  build/test/testMemoryLosses.o build/common/chronometer.o build/common/dummy.o build/common/enumerations.o build/common/util.o build/optimization/factory.o build/neural/interface.o build/neural/connection.o build/neural/neuralNet.o build/neural/layer.o build/neural/inputLayer.o build/neural/buffer.o build/genetic/individual.o build/genetic/task.o build/genetic/population.o build/game/reversiBoard.o build/game/board.o build/tasks/reversiTask.o build/tasks/binaryTask.o build/tasks/classificationTask.o build/loop/rangeLoop.o build/loop/enumLoop.o build/loop/genericPlotter.o build/loop/plot.o build/loop/loop.o build/loop/joinEnumLoop.o build/loop/test.o build/loop/parametersMap.o build/loopTest/taskPlotter.o build/loopTest/chronoPlotter.o build/optimization/cuda_code.o -o bin/testMemoryLosses.exe
/usr/bin/ld: i386 architecture of input file `build/test/testMemoryLosses.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/common/chronometer.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/common/dummy.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/common/enumerations.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/common/util.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/optimization/factory.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/neural/interface.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/neural/connection.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/neural/neuralNet.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/neural/layer.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/neural/inputLayer.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/neural/buffer.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/genetic/individual.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/genetic/task.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/genetic/population.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/game/reversiBoard.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/game/board.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/tasks/reversiTask.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/tasks/binaryTask.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/tasks/classificationTask.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loop/rangeLoop.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loop/enumLoop.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loop/genericPlotter.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loop/plot.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loop/loop.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loop/joinEnumLoop.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loop/test.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loop/parametersMap.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loopTest/taskPlotter.o' is incompatible with i386:x86-64 output
/usr/bin/ld: i386 architecture of input file `build/loopTest/chronoPlotter.o' is incompatible with i386:x86-64 output
build/test/testMemoryLosses.o: In function `testPopulation(ParametersMap*)':
/home/luceo/Downloads/preann/src/test/testMemoryLosses.cpp:65: undefined reference to `operator new(unsigned int)'
/home/luceo/Downloads/preann/src/test/testMemoryLosses.cpp:66: undefined reference to `operator new(unsigned int)'
/home/luceo/Downloads/preann/src/test/testMemoryLosses.cpp:67: undefined reference to `operator new(unsigned int)'
/home/luceo/Downloads/preann/src/test/testMemoryLosses.cpp:81: undefined reference to `operator new(unsigned int)'
build/test/testMemoryLosses.o: In function `main':
/home/luceo/Downloads/preann/src/test/testMemoryLosses.cpp:103: undefined reference to `operator new(unsigned int)'
build/test/testMemoryLosses.o:/home/luceo/Downloads/preann/src/test/testMemoryLosses.cpp:106: more undefined references to `operator new(unsigned int)' follow
build/common/dummy.o: In function `std::basic_string<char, std::char_traits<char>, std::allocator<char> > std::operator+<char, std::char_traits<char>, std::allocator<char> >(char const*, std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)':
/usr/lib/gcc/x86_64-unknown-linux-gnu/4.7.0/../../../../include/c++/4.7.0/bits/basic_string.tcc:702: undefined reference to `std::string::reserve(unsigned int)'
/usr/lib/gcc/x86_64-unknown-linux-gnu/4.7.0/../../../../include/c++/4.7.0/bits/basic_string.tcc:703: undefined reference to `std::string::append(char const*, unsigned int)'
build/common/util.o: In function `__gnu_cxx::new_allocator<void*>::allocate(unsigned int, void const*)':
/usr/lib/gcc/x86_64-unknown-linux-gnu/4.7.0/../../../../include/c++/4.7.0/ext/new_allocator.h:94: undefined reference to `operator new(unsigned int)'
build/common/util.o: In function `__gnu_cxx::new_allocator<unsigned int>::allocate(unsigned int, void const*)':
/usr/lib/gcc/x86_64-unknown-linux-gnu/4.7.0/../../../../include/c++/4.7.0/ext/new_allocator.h:94: undefined reference to `operator new(unsigned int)'
build/common/util.o: In function `__gnu_cxx::new_allocator<std::pair<unsigned int, unsigned int> >::allocate(unsigned int, void const*)':
/usr/lib/gcc/x86_64-unknown-linux-gnu/4.7.0/../../../../include/c++/4.7.0/ext/new_allocator.h:94: undefined reference to `operator new(unsigned int)'
build/optimization/factory.o: In function `Buffer* func_newBuffer<(BufferType)0, float>(unsigned int, ImplementationType)':
/home/luceo/Downloads/preann/src/optimization/configFactory.h:28: undefined reference to `operator new(unsigned int)'
/home/luceo/Downloads/preann/src/optimization/configFactory.h:37: undefined reference to `operator new(unsigned int)'
build/optimization/factory.o:/home/luceo/Downloads/preann/src/optimization/configFactory.h:48: more undefined references to `operator new(unsigned int)' follow
build/optimization/factory.o: In function `XmmConnection<(BufferType)2, unsigned int>::_calculateAndAddTo(Buffer*)':
/home/luceo/Downloads/preann/src/template/xmmConnection.h:102: undefined reference to `XMMreal'
/home/luceo/Downloads/preann/src/template/xmmConnection.h:110: undefined reference to `XMMbinario'
/home/luceo/Downloads/preann/src/template/xmmConnection.h:118: undefined reference to `XMMbipolar'
build/optimization/factory.o: In function `XmmConnection<(BufferType)1, unsigned int>::_calculateAndAddTo(Buffer*)':
/home/luceo/Downloads/preann/src/template/xmmConnection.h:102: undefined reference to `XMMreal'
/home/luceo/Downloads/preann/src/template/xmmConnection.h:110: undefined reference to `XMMbinario'
/home/luceo/Downloads/preann/src/template/xmmConnection.h:118: undefined reference to `XMMbipolar'
build/optimization/factory.o: In function `XmmConnection<(BufferType)3, unsigned char>::_calculateAndAddTo(Buffer*)':
/home/luceo/Downloads/preann/src/template/xmmConnection.h:102: undefined reference to `XMMreal'
/home/luceo/Downloads/preann/src/template/xmmConnection.h:110: undefined reference to `XMMbinario'
/home/luceo/Downloads/preann/src/template/xmmConnection.h:118: undefined reference to `XMMbipolar'
build/optimization/factory.o: In function `XmmConnection<(BufferType)0, float>::_calculateAndAddTo(Buffer*)':
/home/luceo/Downloads/preann/src/template/xmmConnection.h:102: undefined reference to `XMMreal'
/home/luceo/Downloads/preann/src/template/xmmConnection.h:110: undefined reference to `XMMbinario'
/home/luceo/Downloads/preann/src/template/xmmConnection.h:118: undefined reference to `XMMbipolar'
build/neural/neuralNet.o: In function `NeuralNet::addLayer(unsigned int, BufferType, FunctionType)':
/home/luceo/Downloads/preann/src/neural/neuralNet.cpp:33: undefined reference to `operator new(unsigned int)'
build/neural/neuralNet.o: In function `NeuralNet::addInputLayer(Interface*)':
/home/luceo/Downloads/preann/src/neural/neuralNet.cpp:49: undefined reference to `operator new(unsigned int)'
build/neural/neuralNet.o: In function `NeuralNet::load(_IO_FILE*)':
/home/luceo/Downloads/preann/src/neural/neuralNet.cpp:196: undefined reference to `operator new(unsigned int)'
/home/luceo/Downloads/preann/src/neural/neuralNet.cpp:199: undefined reference to `operator new(unsigned int)'
build/neural/neuralNet.o: In function `__gnu_cxx::new_allocator<Layer*>::allocate(unsigned int, void const*)':
/usr/lib/gcc/x86_64-unknown-linux-gnu/4.7.0/../../../../include/c++/4.7.0/ext/new_allocator.h:94: undefined reference to `operator new(unsigned int)'
build/neural/neuralNet.o:/usr/lib/gcc/x86_64-unknown-linux-gnu/4.7.0/../../../../include/c++/4.7.0/ext/new_allocator.h:94: more undefined references to `operator new(unsigned int)' follow
collect2: error: ld returned 1 exit status
make: *** [bin/testMemoryLosses.exe] Error 1

I do have a lot of the stuff from multilib installed (I'm a gamer, so have to have a lot of it installed).

I'm not sure how difficult it will be to get this working, and how that compares to the difficulty of porting the assembly code.
393  Other / Off-topic / Re: Hunting Atlas on: June 20, 2012, 10:35:56 PM
I, too, am against anti-trust laws. They mostly cause more problems than they solve, and often create unnecessary market inefficiencies.
394  Bitcoin / Bitcoin Discussion / Re: [Blog Post] Our Discovery in Vienna – The Bitcoin Card on: June 20, 2012, 01:20:05 PM
Very impressed with the details. Definitely want one.
395  Bitcoin / Mining / Re: Run my program in your Nvidia GPU (for bitcoins) on: June 20, 2012, 12:03:50 PM
I actually only have 64-bit operating systems, but since SSE2 is CPU-based, it's not really comparable to the CUDA (GPU) results and should be able to be tested on just about anything.

If you want to update the assembler code for a 64-bit CPU, I'd be willing to test it, but I expect that's a lot of work and not as simple as just using 64-bit registers (my asm knowledge is very rusty).

I'll run the program next time I nap and post results here if it finishes during that nap.
396  Economy / Services / Re: WTB Training in setting up specific programs on a linux VPS on: June 20, 2012, 01:43:37 AM
PM me your Skype and I'll add you on there. ^^
397  Bitcoin / Mining / Re: Run my program in your Nvidia GPU (for bitcoins) on: June 19, 2012, 10:56:46 PM
OK, I had to swap around the #undef and #include statements at the top of the cuda_code.cu (undef directives must come before importing the header), and add /opt/cuda-toolkit/open64/bin to path, got past that issue and found another one:

Code:
(3:624)# make
/usr/local/cuda/bin/nvcc -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -g -G -c -arch sm_11   src/optimization/cuda_code.cu -o build/optimization/cuda_code.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/optimization/factory.cpp -o build/optimization/factory.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/neural/interface.cpp -o build/neural/interface.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/neural/connection.cpp -o build/neural/connection.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/neural/neuralNet.cpp -o build/neural/neuralNet.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/neural/layer.cpp -o build/neural/layer.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/neural/inputLayer.cpp -o build/neural/inputLayer.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/neural/buffer.cpp -o build/neural/buffer.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/genetic/individual.cpp -o build/genetic/individual.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/genetic/task.cpp -o build/genetic/task.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/genetic/population.cpp -o build/genetic/population.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/game/reversiBoard.cpp -o build/game/reversiBoard.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/game/board.cpp -o build/game/board.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/tasks/reversiTask.cpp -o build/tasks/reversiTask.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/tasks/binaryTask.cpp -o build/tasks/binaryTask.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/tasks/classificationTask.cpp -o build/tasks/classificationTask.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loop/rangeLoop.cpp -o build/loop/rangeLoop.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loop/enumLoop.cpp -o build/loop/enumLoop.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loop/genericPlotter.cpp -o build/loop/genericPlotter.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loop/plot.cpp -o build/loop/plot.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loop/loop.cpp -o build/loop/loop.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loop/joinEnumLoop.cpp -o build/loop/joinEnumLoop.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loop/test.cpp -o build/loop/test.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loop/parametersMap.cpp -o build/loop/parametersMap.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loopTest/taskPlotter.cpp -o build/loopTest/taskPlotter.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/loopTest/chronoPlotter.cpp -o build/loopTest/chronoPlotter.o
/usr/local/cuda/bin/nvcc -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -L/opt/cuda-toolkit/lib64 -lcudart  build/test/testMemoryLosses.o build/common/chronometer.o build/common/dummy.o build/common/enumerations.o build/common/util.o build/optimization/factory.o build/neural/interface.o build/neural/connection.o build/neural/neuralNet.o build/neural/layer.o build/neural/inputLayer.o build/neural/buffer.o build/genetic/individual.o build/genetic/task.o build/genetic/population.o build/game/reversiBoard.o build/game/board.o build/tasks/reversiTask.o build/tasks/binaryTask.o build/tasks/classificationTask.o build/loop/rangeLoop.o build/loop/enumLoop.o build/loop/genericPlotter.o build/loop/plot.o build/loop/loop.o build/loop/joinEnumLoop.o build/loop/test.o build/loop/parametersMap.o build/loopTest/taskPlotter.o build/loopTest/chronoPlotter.o build/optimization/sse2_code.o build/optimization/cuda_code.o -o bin/testMemoryLosses.exe
/usr/bin/ld: i386 architecture of input file `build/optimization/sse2_code.o' is incompatible with i386:x86-64 output
collect2: error: ld returned 1 exit status
make: *** [bin/testMemoryLosses.exe] Error 1

Feel like we're getting somewhere. Tongue I'll try not compiling SSE2 code since I assume you only need me to test the CUDA stuff, so makefile:

Code:
FULL_OBJ = [s]$(SSE2_OBJ)[/s] $(CUDA_OBJ)
FACT_FLAGS += -DCPP_IMPL [s]-DSSE2_IMPL[/s] -DCUDA_IMPL

Maybe I edited the Makefile wrong, because I got a bunch of outputs similar to:

Code:
 while executing GenericPlotFillAction ChronoFillAction Connection_reset at state Size_450000 : 
Implementation SSE2 is not allowed.

However, it looks like the software compiled. I'm now getting outputs (seperated by reasonably long pauses) like:

Code:
 while executing GenericPlotFillAction ChronoFillAction Connection_calculateAndAddTo at state Size_4500 : 
The maximum float input size is 4032.

Complete output from this run has been pasted here.

Can you confirm if this is expected behaviour as I'm assuming it's not (the 4500 step is being repeated over and over, I assume due to trying to use a float too high)? If so, I'll leave this running overnight (next time I nap, probably in about 5-6 hours).
398  Bitcoin / Mining / Re: Run my program in your Nvidia GPU (for bitcoins) on: June 19, 2012, 05:55:16 PM
No problem, it clearly needs working through so glad I can be of assistance. Current output still fails, though:

Code:
(3:600)# make
mkdir -p build/common
mkdir -p build/optimization
mkdir -p build/neural
mkdir -p build/genetic
mkdir -p build/game
mkdir -p build/tasks
mkdir -p build/loop
mkdir -p build/loopTest
mkdir -p build/test/
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/test/testMemoryLosses.cpp -o build/test/testMemoryLosses.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/common/chronometer.cpp -o build/common/chronometer.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/common/dummy.cpp -o build/common/dummy.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/common/enumerations.cpp -o build/common/enumerations.o
g++ -fpermissive -L/opt/cuda-toolkit/lib64 -ggdb -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -c src/common/util.cpp -o build/common/util.o
src/common/util.cpp: In static member function ‘static void MemoryManagement::free(void*)’:
src/common/util.cpp:61:48: warning: cast from ‘void*’ to ‘unsigned int’ loses precision [-fpermissive]
nasm -f elf src/optimization/sse2_code.asm -o build/optimization/sse2_code.o
/usr/local/cuda/bin/nvcc -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -g -G -c -arch sm_11   src/optimization/cuda_code.cu -o build/optimization/cuda_code.o
/usr/lib/gcc/x86_64-unknown-linux-gnu/4.7.0/../../../../include/c++/4.7.0/ext/atomicity.h(48): error: identifier "__atomic_fetch_add" is undefined

/usr/lib/gcc/x86_64-unknown-linux-gnu/4.7.0/../../../../include/c++/4.7.0/ext/atomicity.h(52): error: identifier "__atomic_fetch_add" is undefined

2 errors detected in the compilation of "/tmp/tmpxft_00006ce2_00000000-4_cuda_code.cpp1.ii".
make: *** [build/optimization/cuda_code.o] Error 2

This issue was present in some of the CUDA demos, and was fixed by adding this to the top of cuda_code.cu (although I'm totally unsure what this does, it's just a forum suggestion):

Code:
#undef _GLIBCXX_ATOMIC_BUILTINS
#undef _GLIBCXX_USE_INT128

Then, the following return was given to a 'make' (this could be related to my edit as described in the last codeblock, though):

Code:
(3:602)# make
/usr/local/cuda/bin/nvcc -I src/ -I /opt/cuda-toolkit/include/ -DCPP_IMPL -DSSE2_IMPL -DCUDA_IMPL -g -G -c -arch sm_11   src/optimization/cuda_code.cu -o build/optimization/cuda_code.o
src/optimization/cuda_code.cu(382) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumBitsConnectionsKernel<(BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(382) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumBitsConnectionsKernel<(BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(457) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumBitsInvertedConnectionsKernel<(BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(457) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumBitsInvertedConnectionsKernel<(BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)512u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)256u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)128u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)64u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)32u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)16u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)8u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)4u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)2u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)1u, (BufferType)0> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)512u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)256u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)128u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)64u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)32u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)16u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)8u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)4u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)2u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)1u, (BufferType)1> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)512u, (BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)256u, (BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)128u, (BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)64u, (BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)32u, (BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)16u, (BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)8u, (BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)4u, (BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)2u, (BufferType)2> ") is not allowed

src/optimization/cuda_code.cu(583) (col. 22): error: calling a host function("std::min<unsigned long> ") from a __device__/__global__ function("SumConnectionsKernel<(unsigned int)1u, (BufferType)2> ") is not allowed

34 errors detected in the compilation of "/tmp/tmpxft_00006d0d_00000000-4_cuda_code.cpp1.ii".
make: *** [build/optimization/cuda_code.o] Error 2
399  Other / CPU/GPU Bitcoin mining hardware / Re: 5970 Overheating on: June 19, 2012, 02:01:43 PM
Underclocking the RAM, and undervolting the card, is often helpful when your card overheats, but if the heating is significant you'll probably have to invest in a case fan or a new case with better airflow dynamics.
400  Economy / Services / Re: WTB Training in setting up specific programs on a linux VPS on: June 19, 2012, 12:20:17 PM
I can help you set up OpenVPN and Electrum.

Never done the others but afaik I could probably help with Diaspora too.

Which distro are you using?
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