Chris Johnson, Ph.D.,
Director, Scientific Computing and Imaging (SCI) Institute,
School of Computing,
University of Utah
Eugene Kolker, Ph.D.,
Chief Data Officer, Seattle Children's,
Co-Founder and Chair, Executive Committee of DELSA, Data-Enabled Life Sciences Alliance International
This follows up our successful first meetings in this series at HPDC’11 and HPDC’10, which are well documented at ECMLS2011 and ECMLS2010. The basic motivation is as before with the dramatic important of next generation sequencers in biology and the need for corresponding increase in new algorithms and new computing systems growing more apparent. Recent workshops in the USA such as DISW2 have emphasized this and recently has prompted setting up the Data-Enabled Life Science Alliance DELSA that will aim to coordinate the community for which our proposed workshop would be a natural technical outlet.
Computing systems are rapidly changing with multicore, GPUs, clusters, volunteer systems, clouds, and grids offering a confusing dazzling array of opportunities. New programming paradigms such as MapReduce and Many Task Computing have joined the traditional repertoire of workflow and parallel computing for the highest performance systems. Meanwhile the Life Sciences are continuing to expand in data generated with continuing improvement in the instruments for high throughput analysis. This “fourth paradigm” (observationally driven science) is joined by complex systems or biocomplexity that can build phenomenological models of biological systems and processes. This workshop juxtaposes these trends seeking those computational methods that will enhance scientific discovery in the life sciences arena.
The purpose of this the workshop is to provide the opportunity for researchers, scientists, engineers, and students to discuss and share the latest research in parallel and distributed high performance systems applied to Life Science problems. It aims to offer an interactive environment for investigators working on novel “computational thinking” for (Systems) Biology, Bioinformatics, Biocomplexity and Cheminformatics, so that future activities and collaborations will be initiated, as well as fostering discussions about the utilization of HPDC systems in their respective research initiatives.