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* Add mon_cross_ctx_copies benchmark and make targetJoshua Bakita2023-06-13
| | | | | | | | | | | | | | | | Benchmark supports: => Generating parallel copies from CPU to GPU in seperate process => Granular timestamping of when each portion of the copy completes => Monitoring of copy process from either CPU or GPU => Tested on platforms including the GV100 and GV11B Formerly known as diff_ctx_diff_stream. *** Warning *** * The current implementation requires some hardcoded parameters * (such as the number of monitoring threads on the GPU) to be * updated and recompiled when switching test platform. ***
* Add constant_cycles_kernel benchmark + header split and MakefileJoshua Bakita2023-06-09
| | | | | | | | | | Benchmark supports: => Looping on the GPU for a specified number of iterations => Looping infinitely on the GPU => Logging the sum time (ns and ms) for all iterations to complete Also splits `testbench.h` out of `copy_testbench.h` for use in other benchmarks.
* Add copy_contender benchmark, Makefile, and copy_testbench headerJoshua Bakita2023-06-09
Benchmark supports: => Generating a chain of copies in a single context - No timing pause between copies => Copies to, from, or between device(s) => Variable size and number of copies => Logging how many milliseconds each copy takes *** Warning *** * Relies on implicit synchronization of unidirectional copies across * streams. Verify that this is still the case with CUDA before * trusting results. One can check by verifying that the runtime for * one iteration roughly matches the time for each iteration in a * multi-iteration run. ***