gpu-microbench.git/measure_launch_oh.cu, branch master Lightweight, hyper-accurate microbenchmarks and measurement tools for GPU scheduling examination. Add a sched_yield() between each interation of measure_launch_oh 2025-05-13T04:55:24+00:00 Joshua Bakita jbakita@cs.unc.edu 2025-05-13T04:55:24+00:00 5b7b92b20fe638a400f9918b8da6e98c942ff5d1 This is to reduce the impact of scheduling noise when measuring a very large number of samples. This change is to support the ECRTS'25 partitioning paper. 
This is to reduce the impact of scheduling noise when measuring a
very large number of samples.

This change is to support the ECRTS'25 partitioning paper.
Add measure_launch_oh benchmark and make target 2024-02-27T01:29:25+00:00 Joshua Bakita jbakita@cs.unc.edu 2024-02-27T01:29:25+00:00 340457bd5dae3624d4c92a02b84fb8206c0348a9 Benchmark supports: => Warms up the GPU and kernel code before sampling => Uses a flag in zero-copy memory to track when a kernel begins => Outputs summary statistics to stderr, and sample data to stdout 
Benchmark supports:
=> Warms up the GPU and kernel code before sampling
=> Uses a flag in zero-copy memory to track when a kernel begins
=> Outputs summary statistics to stderr, and sample data to stdout