Many Life Sciences Workloads, One Single System

February 2, 2017 David Gordon The trend at the high end, from supercomputer simulations to large-scale genomics studies, is to push heterogeneity and software complexity while reducing the overhead on the infrastructure side. This might sound like a case of dueling forces, but there is progress in creating a unified framework to run multiple workloads simultaneously on one robust cluster. To put this into context from a precision medicine angle, Dr. Michael McManus shared his insights about the years he spent designing infrastructure for life sciences companies and research. Those fields have changed dramatically in just the last five years alone in terms of data volumes, compute requirements, algorithmic complexity, and regulatory pressure. Ultimately, McManus says, the trend toward simplification of infrastructure is strong—even if getting to the point where…


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