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NCSA Colloquium: A Wager for 2016: How Software Will Beat Hardware in Biological Data Analysis

NCSA Colloquium: A Wager for 2016: How Software Will Beat Hardware in Biological Data Analysis

Light refreshments will be available after the colloquium. 

Abstract: As biological sequencing data grows in scale, so too do the computational demands for moving from data to results.  This challenges biological cyberinfrastructure for everyone - for small labs that are generating large data sets, for sequencing centers, and for computing centers that are working with researchers.  Compounding the scaling problem, the needs of data-intensive science are a mismatch for standard high-performance computing approaches, which have traditionally focused on compute throughput.  I'll discuss some of our research approaches that focus on cloud computing and algorithm scaling rather than on scaling compute infrastructure, and talk about the future of data-driven discovery as I see it.  No compute centers were harmed in my research.

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Date: 
Friday, May 1, 2015