Comments (3)
do not support very old architectures such as fermi
from brian2cuda.
first test for practical relevance: add warning to code and info to user documentation that archs up to some compute capability do not support hardware atomicadd (then our custom software atomicadd is used) which makes them potentially slower
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Also check what compute capability the spatialneuron implementation needs. See this comment
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Related Issues (20)
- Check if storing the size of synapse groups is necessary? HOT 1
- Needs patch to run with Brian 2.4.2 HOT 2
- Optimize `StateMonitor`
- Impelement brian2cuda preference file support
- Copy all eventspace counters to host efficiently at each time step
- Investigate and document performance effects when working with `Subgroup`s HOT 1
- Consider partitioning eventspaces when using `Subgroup`s HOT 4
- Optimize `PopulationRateMonitor`
- Fix `SpikeMonitor` for `Subgroup`s HOT 1
- Optimize our `SpikeMonitor` for `Subgroups`
- Refactor test suite scripts
- Fix `ReferencError` in spatialneuron tests HOT 3
- Fix memory leak when having multiple `run` calls
- Spikes are lost when changing delays between `run` calls HOT 3
- Recent Brian2 update PR broke benchmark scripts HOT 1
- Brian2Cuda Uninstalls Brian2 2.5.1 and Installs 2.4.2 Which Won't Import HOT 3
- Brian2Hears and Brian2CUDA HOT 3
- Optimise brian2CUDA HOT 2
- Bypass nvidia-smi when using a Jetson platform HOT 6
- Why the volatile GPU utilization is so low? I run the same code respectively on the CPU(cpp_standalone) and GPU(brian2cuda), and i expect that it can run quickly by using brian2ccuda. However, it runs much slower... Can someone explain this? HOT 1
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