37 citations · 37 across the 1 of their papers we have counts for
3 papers
Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures
Jiří Filipovič, Jana Hozzová, Amin Nezarat +2
We have developed several autotuning benchmarks in CUDA that take into account performance-relevant source-code parameters and reach near peak-performance on various GPU architectu…
Using hardware performance counters to speed up autotuning convergence on GPUs
Jiří Filipovič, Jana Hozzová, Amin Nezarat +2
Nowadays, GPU accelerators are commonly used to speed up general-purpose computing tasks on a variety of hardware. However, due to the diversity of GPU architectures and processed…
A Benchmark Set of Highly-efficient CUDA and OpenCL Kernels and its Dynamic Autotuning with Kernel Tuning Toolkit
Filip Petrovič, David Střelák, Jana Hozzová +4
Autotuning of performance-relevant source-code parameters allows to automatically tune applications without hard coding optimizations and thus helps with keeping the performance po…