Bio-Computing Thrust Area
Often referred to as the “Decade of Biology”, high performance computing is leveraging the onslaught of biological information to meet societal needs. Advanced modeling and simulation, data management and analysis, and intelligent connectivity are enabling advances in such fields as medicine, environment, defense, energy, and the food industry.
Biological modeling is progressing rapidly due not only to data availability, but also to the increases in computer power and availability. This is leading to the growth of systems biology as a quantitative field, in which computer simulation and analysis addresses the interoperation of biological processes and functions at multiple spatial, temporal, and structural scales. Detailed, reductionist models of single processes and cells are being integrated to develop an understanding of whole systems or organisms. SC09 will highlight the state of the art in biological simulation, introducing the unique complexities that living organisms.
The past decade has seen a rapid change in how we practice biology. The science is evolving from single-lab data generation and discovery to global data access and consortium-driven discovery. High-throughput instruments and assays deliver increasingly large volumes of data at throughputs that make biology a data intensive science, fundamentally challenging our traditional approaches to storing, managing, sharing and analyzing data while maintaining a meaningful biological context. SC09 will highlight experts in the field of genomics that will address the core needs and challenges of genome research and discuss how we can leverage new paradigms and trends in distributed computing.
The medical industry is changing rapidly by integrating the latest in computing technologies to guide personnel in making timely and informed decisions on medical diagnoses and procedures. By providing a systems level perspective, integration, interoperability, and secured access to biomedical data on a national scale we are positioned to transform the nation’s healthcare. Doctors can utilize simulation-based methods, initialized with patient-specific data, to design improved treatments for individuals based on optimizing predicted outcomes. SC09 will present issues and projects across clinical care, public health, education and research with particular focus on transformative efforts enabled by high performance computing.
HPC hardware must be available and appropriate in architecture to support heterogeneously-structured modeling. HPC systems must support interdisciplinary collaborations with software that facilitates construction of simulations that are efficient, flexible, and robustly address inquiry in experimental science. SC09 sessions will discuss how architecture is impacting the broad field of biology.
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