SIMULATIONS AND MORE
SkyScale’s high performance computing appliances can add tremendous compute power for many medical applications providing up to 16 Tesla P100GPU engines per platform for the World’s Fastest Cloud compute capability.
Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. Bioinformatics develops and applies computationally intensive techniques to understand biological processes. Without technology, certain aspects of bioinformatics would not be practical or possible. For example, comparing multiple protein sequences by hand is impractical and annotating genomes is impossible because most genomes are too large to annotate by hand. But now that technology is as advanced as it is, bioinformatics can greatly benefit from GPU acceleration and Flash Storage. GPU-BLAST, MUMmerGPU and BarraCUDA are three applications that can benefit from GPU acceleration.
There are many different applications in which the field of bioinformatics is used, including medicine. Bioinformatics enables advances such as drug discovery, diagnostics and disease management. The methods of bioinformatics can be applied to diagnose cancer sub-types, predict survival time of cancer patients, identify the mode of action of candidate drugs, model protein binding, and model drug target properties. It’s possible, that in the future, doctors will be able to perform a genomic analysis on cancer patients and the results of that analysis will help them determine the drug treatment that will be the most effective for that particular patient. Speeding up bioinformatics with GPUs will hopefully help advance the field for the benefit of all.
Quantum chemistry (QC) simulations are key to the discovery of new drugs and materials and consume a large part of the HPC data center’s workload. 60% of the top QC applications are accelerated with GPUs today.
KEY FEATURES OF THE TESLA P100 FOR QUANTUM CHEMISTRY
Servers with P100 replace up to 36 CPU servers for applications such as VASP and LSMS
60% of the top QC applications are GPU-accelerated
Key math libraries like FFT and BLAS
Up to 5.3 TFLOPS per second of double precision performance per GPU
Up to 16 GB of memory capacity for large datasets
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