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"For now, let's put this in the code as comments. Later, we'll document this better when pulled out into parameter files."
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"Should there even be defaults? Or should the simulator just refuse to run if parameter values aren't defined in a configuration XML file?\n",
"@torisalvatore, I'll take over this. I'm going to look at consistency among default values anyway."
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1. Compile without the assert() to PTX code.
2. Compile with assert()
How does the PTX code change? Is the code that calculates the psr value different?
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"Preliminarily, we are adding a number of threads per block member variable to the ClusterInfo object. However, that really should be calculated separately for each kernel. Need to think about what to store and where to enable this during system initialization."
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1. Get information about simulation configuration (number of devices, which devices, which models, etc.)
2. Read device information for all requested devices
3. Allocate neurons to devices (incoming synapses live on the same device as their neuron)
4. Calculate threads per block, number of blocks per device.
How do we specify the specific devices to use in a way that makes sense and will work on multiple machines (not just raiju or cerberus)?
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"Hmm. I wonder if this might reflect the fact that there are more streaming processors per streaming multiprocessor (so threads in a warp aren't sharing streaming processors), or more processors overall (so more blocks can run simultaneously)? Perhaps that causes different sequences of random numbers to arrive at c... | 2016-05-11T23:44:52 | 2024-09-09T15:04:37 | null | NONE | null | {
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"Let's see if we can finalize this in CMake. It should also make sure that it copies over runtimes files.",
"This is the follow-on to the out-of-source build."
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Precompile parts of the system?
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2. On the CPU, for CPU-based simulations, for noise.
3. On the GPU, for GPU-based simulations, for noise.
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"It will be critical to ensure that we can seed the RNGs with states that are identical with what happens in BrainGrid, for cross-validation."
] | 2016-04-14T21:02:20 | 2021-08-03T03:10:09 | 2021-08-03T03:10:09 | CONTRIBUTOR | null | {
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} | null | There are two (sets of) RNG: rng in Globals.cpp, which is used to randomize parameters during setup, and is seeded with a hard-coded constant, and rgNormrnd/GPU Mersenne twister RNG(s) (created in SingleThreadedSpikingModel.cpp or GPUSpikingModel.cu), used to generate noise during simulation. The latter is seeded from the parameter file; the former is not.
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"Of course, that may trigger a minor refactor elsewhere, but these are all local variables that shouldn't cause issues outside that method.\n",
"@apw6 , you're going to have to modify this method anyway, so you might as well take care of this. So, I guess you aren't given a break.\n",
"Is this fixed?"
] | 2016-03-15T23:14:37 | 2021-04-02T00:13:17 | null | CONTRIBUTOR | null | {
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`//initialize Mersenne Twister`
`//assuming neuron_count >= 100 and is a multiple of 100. Note rng_mt_rng_count must be <= MT_RNG_COUNT`
`int rng_blocks = 25; //# of blocks the kernel will use`
`int rng_nPerRng = 4; //# of iterations per thread (thread granularity, # of rands generated per thread)`
`int rng_mt_rng_count = sim_info->totalNeurons/rng_nPerRng; //# of threads to generate for neuron_count rand #s`
`int rng_threads = rng_mt_rng_count/rng_blocks; //# threads per block needed`
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"Just to clarify, those declarations are now in Core/GPUSpikingModel.h, but should be moved to a file such as MersenneTwister_d.h. Currently, that file seems to be relevant only to the code in MersenneTwister_d.cu. Double-check that -- does any of that stuff belong in an externally-facing .h file?"
] | 2016-03-15T23:09:15 | 2020-08-06T00:46:24 | null | CONTRIBUTOR | null | {
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"Fixed in BrainGrid since ~June 2016"
] | 2016-03-15T22:28:18 | 2021-07-22T18:02:54 | 2021-07-22T18:02:54 | CONTRIBUTOR | null | {
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"@fumik , I know you've been doing some refactoring. Is it the case that what you've done basically accomplishes all or part of this? Does it render this moot?\n",
"Yes, adding new neurons, synapses, and connections models, we need to modify the current class structure. I'm simultaneously working on this issue an... | 2014-11-26T18:12:12 | 2020-07-23T00:33:07 | 2020-07-23T00:33:07 | CONTRIBUTOR | null | {
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"This is for future information. More immediately (as of November 2014), we will focus on the Izhikevich model from his 2006 paper.\n"
] | 2014-08-12T22:08:35 | 2021-04-02T00:31:03 | null | CONTRIBUTOR | null | {
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"**constant** variables need to be at the top level in the .cu file! because they generate code that allocates and initializes constant memory on the GPU. But that is not the case for ordinary host side variables that contain device side addresses.\n\nRight now, shared constants are actually allocated for each syna... | 2014-05-05T23:12:40 | 2021-10-19T19:51:14 | null | CONTRIBUTOR | null | {
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Then again, I don't remember what was going through my mind at the time and we don't want to assume I was completely confused at the time (no comments from the peanut gallery, please). Needs to be investigated thoroughly; maybe I will need to do this.
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"Probably should be generalized as applying to any situation with multiple computing resources, including multicore."
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"A promising framework is [log4cplus](http://sourceforge.net/p/log4cplus/wiki/Home/).\n"
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"I think the focus here should be on having the ability to implement it differently, to take advantage of hardware capabilities (or improvements in parallel libraries), or to support RNGs with different distributions (normal, uniform, Poisson). Not a top priority right at this moment.\n",
"I've created a new mile... | 2012-12-06T15:26:13 | 2021-04-02T00:35:16 | null | NONE | null | {
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