|Name:||Supercomputing Challenges in Evolutoionary Biology|
|Time:||Tuesday, June 20, 2017
04:05 pm - 04:25 pm
|Speaker:||Alexandros Stamatakis, HITS & KIT|
The field of Bioinformatics faces several challenges at present: (i) a data explosion driven by novel sequencing technologies, (ii) the need for better, more accurate, and thus, more compute-intensive models, and (iii) the need to improve bioinformatics software quality as well as scalability.
In this talk, I will outline, by example of evolutionary biology, how we can overcome some of these challenges, for instance by designing appropriate parallel I/O procedures and data distribution algorithms.
I will also discuss the pros and cons of accelerator deployment as well as adaptation to specific supercomputer architectures for these applications.
Subsequently, I will outline typical compute patterns and hardware requirements of large-scale biological data analyses that do not always require classic supercomputers.
Thereafter, I will critically discuss some of the substantial problems related to code quality in Bioinformatics that we have recently identified.
I will conclude with a quote by Donald Knuth: "Biology easily has 500 years of exciting problems to work on."