weft - CPEN 511 Project - Weft: Improving SIMD Utilization through MIMD-like Co-issue and Thread Compaction

Age	Commit message (Collapse)	Author
2010-12-28	- parameter memory and active threads now part of kernel_info_t:	Tor Aamodt
	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]
2010-12-28	- Checkpointing new support for concurrent kernel execution (CUDA only, not ↵	Tor Aamodt
	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]