https://github.com/brian-team/brian2cuda
A brian2 extension to simulate spiking neural networks on GPUs
https://github.com/brian-team/brian2cuda
biological-simulations brian brian2 code-generation computational-neuroscience differential-equations gpu gpu-acceleration neuroscience python science simulation simulation-framework spiking-neural-networks
Last synced: 2 months ago
JSON representation
A brian2 extension to simulate spiking neural networks on GPUs
- Host: GitHub
- URL: https://github.com/brian-team/brian2cuda
- Owner: brian-team
- License: gpl-3.0
- Created: 2015-10-27T17:21:17.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2025-01-10T12:39:18.000Z (5 months ago)
- Last Synced: 2025-03-29T07:05:49.066Z (3 months ago)
- Topics: biological-simulations, brian, brian2, code-generation, computational-neuroscience, differential-equations, gpu, gpu-acceleration, neuroscience, python, science, simulation, simulation-framework, spiking-neural-networks
- Language: Python
- Homepage: https://brian2cuda.readthedocs.io/
- Size: 122 MB
- Stars: 62
- Watchers: 8
- Forks: 13
- Open Issues: 130
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
Awesome Lists containing this project
- awesome-snn - Brian2CUDA - team/brian2cuda?style=social"/> : A brian2 extension to simulate spiking neural networks on GPUs. "Brian2CUDA: flexible and efficient simulation of spiking neural network models on GPUs". (**[Frontiers in Neuroinformatics 2022](https://www.frontiersin.org/articles/10.3389/fninf.2022.883700/abstract14)**) (Frameworks)
README
# Benchmark results from 28.11.2017
## Description:
## Last git log:
```
commit 8987de24ed9f4a3b1a276496407fca1087f04004
Author: Denis Alevi
Date: Mon Nov 20 14:31:09 2017 +0100
Fix critical section to include the actual pushing
```
There is also a `git diff` saved in the current directory.
## Results
### BrunelHakimModelHeterogeneousDelay
Examplary `nvprof` results for **CUDAStandaloneConfigurationBrunelHeterogAndPushAtomicResize**
Profile summary for `N = 1000`:
```
==2700== NVPROF is profiling process 2700, command: ./main
==2700== Profiling application: ./main
==2700== Profiling result:
Type Time(%) Time Calls Avg Min Max Name
GPU activities: 36.32% 123.91ms 2523 49.113us 14.176us 1.3924ms _run_synapses_pre_push_spikes_push_kernel(unsigned int, unsigned int, unsigned int, int*)
18.81% 64.168ms 10000 6.4160us 3.5840us 8.5440us kernel_synapses_pre_codeobject(unsigned int, unsigned int, unsigned int, int*, unsigned int, double*, int, int*, int, double, int*, int, double*, int*)
12.89% 43.962ms 10000 4.3960us 4.1600us 5.4080us kernel_neurongroup_stateupdater_codeobject(unsigned int, unsigned int, double, double*, double*, double*, bool*, float*)
8.62% 29.419ms 10000 2.9410us 2.8800us 4.2880us _run_synapses_pre_push_spikes_advance_kernel(void)
6.74% 22.995ms 10000 2.2990us 2.0160us 2.8800us kernel_neurongroup_thresholder_codeobject(unsigned int, unsigned int, int*, double, double*, double*, bool*)
6.03% 20.585ms 10000 2.0580us 2.0160us 4.0960us [CUDA memcpy DtoH]
5.48% 18.689ms 10000 1.8680us 1.7280us 2.2400us kernel_neurongroup_resetter_codeobject(unsigned int, unsigned int, double*, int*)
4.89% 16.676ms 10000 1.6670us 1.6000us 2.7520us _GLOBAL__N__69_tmpxft_000008bc_00000000_6_neurongroup_thresholder_codeobject_cpp1_ii_97ebdcc0::_reset_neurongroup_thresholder_codeobject(int*)
0.21% 732.10us 1 732.10us 732.10us 732.10us void gen_sequenced(curandStateXORWOW*, normal_args_st))>(curandStateXORWOW*, float2*, unsigned long, unsigned long, normal_args_st)
API calls: 63.43% 648.25ms 62524 10.368us 8.7500us 8.8943ms cudaLaunch
28.22% 288.45ms 10000 28.844us 18.477us 1.3838ms cudaMemcpy
5.61% 57.386ms 350097 163ns 124ns 335.99us cudaSetupArgument
1.38% 14.127ms 62524 225ns 161ns 321.95us cudaConfigureCall
1.30% 13.336ms 52525 253ns 200ns 300.39us cudaGetLastError
0.03% 268.04us 1 268.04us 268.04us 268.04us cudaMalloc
0.02% 166.72us 1 166.72us 166.72us 166.72us cudaMemGetInfo
0.00% 30.363us 39 778ns 650ns 2.4670us cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags
0.00% 29.284us 8 3.6600us 2.8650us 6.1410us cudaFuncGetAttributes
0.00% 13.545us 1 13.545us 13.545us 13.545us cudaDeviceSynchronize
0.00% 6.1940us 12 516ns 337ns 1.4590us cudaDeviceGetAttribute
0.00% 3.8130us 3 1.2710us 863ns 1.9980us cudaGetDevice
```
Examplary `nvprof` results for **CUDAStandaloneConfiguration**
Profile summary for `N = 1000`:
```
==1993== NVPROF is profiling process 1993, command: ./main
==1993== Profiling application: ./main
==1993== Profiling result:
Type Time(%) Time Calls Avg Min Max Name
GPU activities: 56.03% 352.83ms 10000 35.283us 2.0480us 87.201us kernel_synapses_pre_codeobject(unsigned int, unsigned int, unsigned int, int*, unsigned int, double*, int, int*, int, double, int*, int, double*, int*)
23.69% 149.15ms 10000 14.915us 1.6320us 1.3164ms _run_synapses_pre_push_spikes_push_kernel(unsigned int, unsigned int, unsigned int, int*)
6.70% 42.158ms 10000 4.2150us 3.8080us 5.6320us kernel_neurongroup_stateupdater_codeobject(unsigned int, unsigned int, double, double*, double*, double*, bool*, float*)
4.32% 27.228ms 10000 2.7220us 2.4960us 4.5120us _run_synapses_pre_push_spikes_advance_kernel(void)
3.61% 22.747ms 10000 2.2740us 1.9200us 3.7760us kernel_neurongroup_thresholder_codeobject(unsigned int, unsigned int, int*, double, double*, double*, bool*)
3.00% 18.918ms 10000 1.8910us 1.7280us 3.7440us kernel_neurongroup_resetter_codeobject(unsigned int, unsigned int, double*, int*)
2.53% 15.914ms 10000 1.5910us 1.3440us 3.8080us _GLOBAL__N__69_tmpxft_000005de_00000000_6_neurongroup_thresholder_codeobject_cpp1_ii_97ebdcc0::_reset_neurongroup_thresholder_codeobject(int*)
0.12% 731.65us 1 731.65us 731.65us 731.65us void gen_sequenced(curandStateXORWOW*, normal_args_st))>(curandStateXORWOW*, float2*, unsigned long, unsigned long, normal_args_st)
API calls: 89.24% 744.81ms 70001 10.639us 8.5770us 8.8242ms cudaLaunch
7.22% 60.281ms 380005 158ns 121ns 336.34us cudaSetupArgument
1.85% 15.427ms 70001 220ns 159ns 319.22us cudaConfigureCall
1.60% 13.340ms 60002 222ns 175ns 326.16us cudaGetLastError
0.04% 332.76us 1 332.76us 332.76us 332.76us cudaDeviceSynchronize
0.03% 253.93us 1 253.93us 253.93us 253.93us cudaMalloc
0.02% 146.47us 1 146.47us 146.47us 146.47us cudaMemGetInfo
0.00% 29.198us 8 3.6490us 2.7670us 6.3670us cudaFuncGetAttributes
0.00% 27.382us 39 702ns 578ns 1.8100us cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags
0.00% 6.0870us 12 507ns 326ns 1.3870us cudaDeviceGetAttribute
0.00% 3.7450us 3 1.2480us 822ns 2.0410us cudaGetDevice
```