In this work, the authors quantify CPU code regions that execute when a GPU is idle, or GPU tasks that execute when a CPU thread is idle, and accumulate ...
Identifying Optimization Opportunities Within Kernel Execution in GPU ...
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Dec 18, 2015 · Tuning codes for GPGPU architectures is challenging because few performance tools can pinpoint the exact causes of execution bottlenecks.
This research focuses on characterizing the behavior of GPU application kernels and its performance at the node level by providing a visualization and metrics ...
May 30, 2016 · As of now, my GPU is slower than my CPU when it comes to kernel execution time. I thought maybe since I was testing with a small sample, the ...
May 19, 2010 · I know how to profile whole kernel using cudaprof, but I would like to see how a function performs compared to total kernel execution time.
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▫ Different warps can execute different code with no impact on performance. ▫ Avoid diverging within a warp. — Example without divergence: ▫ if (threadIdx ...
Euro-Par'15-Identifying Optimization Opportunities Within Kernel Execution in GPU Codes; SC'13-Effective sampling-driven performance tools for GPU ...
This survey discusses various optimization techniques found in 450 articles published in the last 14 years.
This section we will discuss code optimization with how to efficiently transfer data between the host and the device. The peak bandwidth between the device ...
When writing high performance kernels for a modern GPU, several guidelines must be followed. For instance, utilization of both host and GPU memory bandwidth ...