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solves the problem of underminitstic kernel finish detection
[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 14206]
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[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 9872]
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[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 9687]
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Parameters are finalized at kernel launch, which means the contents
of parameter memory are initialized. Kernel arguement names have a
fixed order, hence same address should be assigned on subsequent
kernel launches of same kernel in other streams provided the data size
param_t::size of arguments for each kernel launch is identical (an
assertion has been added to check this is true).
- passing regression
[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 8303]
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OpenCL)
This changelist adds full support for streams supported by a new class,
stream_manager and enables concurrent execution of kernels from different
streams.
- fast_regression.sh fails for simpleMultiCopy, simpleStreams (other tests
passing)
** Known issues **
- Kernel parameter passing is not done correctly for concurrent kernel execution
(somehow concurrentKernels is not affected by this): the parameters are
stored inside function_info, which is shared among parallel kernel launches
so that the values passed into the launch are likely to get overwritten if
multiple grids are launched in parallel streams.
- Statistics are printed out whenever the simulation thread runs out of
cuda commands (doesn't make sense to print out when a kernel ends during
concurrent kernel execution). This will probably require further tweaking
so as to be more compatible with data collection scripts.
[git-p4: depot-paths = "//depot/gpgpu_sim_research/fermi/distribution/": change = 8302]
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