GAPSTOPTM#
GPU-Accelerated Python STOPgap for Template Matching#
Date: Sep 25, 2024 Version:
Useful links: Source Repository | Issues & Ideas | cryoCAT | STOPGAP |
GAPSTOPTM is able to leverage the power of GPU accelerated multi-node HPC systems to be efficiently used for template matching. It speeds up template matching by using an MPI-parallel layout and offloading the compute-heavy correlation kernel to one or more accelerator devices per MPI-process using jax.
The template matching in GAPSTOPTM is algorithmically based on STOPGAP developed by W. Wan’s lab. For more details please read the original STOPGAP publication. To fully exploit the capabilities of the software we recommend to read the manuscript parameters optimization by Leon-Cruz et al. and to perform in silico template analysis in cryoCAT.
Citation#
To cite GAPSTOPTM please refer to original STOPGAP manuscript by Wan et al. as well as to Leon-Cruz et al..
The user guide provides in-depth information on the key concepts of cryoCAT with useful background information and explanation.
The tutorial shows all steps necessary to prepare inputs, run GAPSTOP™ and analyze the results.
The installation guide provides information on how to isntall cryoCAT.