37 citations · 37 across the 1 of their papers we have counts for
3 papers
cs.DC2021
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…
cs.DC2019★ 37 cited
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…
physics.bio-ph2018
CaverDock: A Novel Method for the Fast Analysis of Ligand Transport
Jiří Filipovič, Ondřej Vávra, Jan Plhák +5
Here we present a novel method for the analysis of transport processes in proteins and its implementation called CaverDock. Our method is based on a modified molecular docking algo…