research
∙
08/18/2022
Learned Indexing in Proteins: Extended Work on Substituting Complex Distance Calculations with Embedding and Clustering Techniques
Despite the constant evolution of similarity searching research, it cont...
share
research
∙
02/10/2021
Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures
We have developed several autotuning benchmarks in CUDA that take into a...
research
∙
02/10/2021
Using hardware performance counters to speed up autotuning convergence on GPUs
Nowadays, GPU accelerators are commonly used to speed up general-purpose...
research
∙
10/18/2019
A Benchmark Set of Highly-efficient CUDA and OpenCL Kernels and its Dynamic Autotuning with Kernel Tuning Toolkit
Autotuning of performance-relevant source-code parameters allows to auto...
research
∙
01/08/2018