Dr. Daniel Chavarría-Miranda was recently named an Association for Computing Machinery Senior Member. The ACM uses this designation to recognize its members for their exceptional performance that "sets them apart from their peers." Chavarría-Miranda is a Senior Research Scientist in CSMD's High Performance Computing group, where his research interests span parallel and distributed systems, compilers for high-performance and parallel computing, programming languages and interactions of architectural features with software systems.
As part of the workshop program at DISCS-2013, a team of PNNL scientists from the Global Security Technology & Policy, Data Intensive Scientific Computing, High Performance Computing, and Scientific Data Management groups will present their paper, "Toward a Data Scalable Solution for Facilitating Discovery of Scientific Data Resources." The work addresses the challenges involved in collecting, managing, and processing vast quantities of data enabled by today's computing systems.
In another demonstration of PNNL's leadership position in the big data research area, Abhinav Vishnu, George Chin, and Sutanay Choudhury, of the Computational Sciences and Mathematics and Computational and Statistical Analytics divisions, are leading efforts involved in the upcoming Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics, or ParLearning 2014.
Data Crosscutting Requirements is a report resulting from an Advanced Scientific Computing Research-sponsored workshop held in April 2013 to assess data requirements associated with DOE-sponsored scientific facilities and large-scale experiments. PNNL was a major contributor to the organization of the workshop and the finalized report.
PNNL's 2013 Key Scientific Accomplishments report is now available. This full-color report highlights discoveries and solutions advancing scientific frontiers in biological, chemical, computational, materials, and physical sciences.