37 citations · 37 across the 2 of their papers we have counts for
4 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…
Acceleration of Mean Square Distance Calculations with Floating Close Structure in Metadynamics Simulations
Jana Pazúriková, Jaroslav Oľha, Aleš Křenek +1
Molecular dynamics simulates the~movements of atoms. Due to its high cost, many methods have been developed to "push the~simulation forward". One of them, metadynamics, can hasten…