In just a few years, Cryo-EM has gone from being the ugly duckling of structural biology to one of the hottest techniques in science, most recently recognized when the Royal Swedish Academy of Sciences awarded a Nobel Prize to Dubochet, Frank, and Henderson.
Watch the webinar replay where Dari Kimanius, Bjorn Forsbereg and Erik Lindahl, the developers of the GPU-accelerated RELION-2 from KTH Stockholm show you how GPUs and algorithms are enabling the science of the Nobel Prize for Chemistry in 2017 - Cryo-Electron Microscopy. This webinar discusses how the field is entirely dependent on computing, how advanced mathematics is used to reconstruct 3D protein structures from extremely noisy 2D images, and how it has become possible to accelerate the performance of these calculations by 5000% using CUDA.
By watching this webinar replay, you'll learn about:
- The ideas behind the REgularized LIkelihood OptimizatoN algorithm, implemented in RELION, and how it is used to simultaneously determine multiple models from cryo-EM data;
- The work necessary to reformulate these algorithms to benefit from CPUs and the general challenges when implementing CUDA parts in large production codes;
- How GPU-specific features such as texture units enabled exceptional performance acceleration; and
- How to use RELION efficiently and get started in your own lab.