In “Parasail: SIMD C Library for Global, Semi-Global, and Local Pairwise Sequence Alignments,” author Jeff Daily introduces the Parasail software library. Parasail represents the first time global, semi-global, and local alignment algorithms have been made available in one open-source high-performance software library, providing researchers with an option that improves upon earlier programs widely used in bioinformatics applications. Read More.
Congratulations to members of ACMD Division’s HPC team, who will share their research on parallel computing at the upcoming IEEE International Parallel & Distributed Processing Symposium in May. Among only 114 papers accepted for presentation at IPDPS 2016 (of 496 submitted), three were authored by PNNL HPC staff. The papers address important aspects related to fault modeling using machine learning, an analytic model for parallel machines, and a benchmark suite that can help exploit power-efficient parallelism. Read more.
About the Division
PNNL’s ACMD Division focuses on the Science of Computing and creating new computational capabilities to solve problems using extreme-scale simulation and data analytics.
The Advanced Computing, Mathematics & Data (ACMD) Division at Pacific Northwest National Laboratory provides science, technologies, and leadership to solve significant problems of national interest in energy, environment, national security, and fundamental science. Within the ACMD Division, our research is aimed at creating new, state-of-the-art computational capabilities using extreme-scale simulation and petascale data analytics that enable scientific breakthroughs.
We are developing intelligent hardware and software solutions that analyze, store, and share data in ways that enable innovative research, while reducing both cost and time. These research and development activities are giving rise to scientific breakthroughs in high-impact areas, including infrastructures, computing architectures, and advanced analytical techniques.
In addition, ACMD Division offers investigator-initiated and multi-institutional collaborative research, unique scientific instrumentation, and national program leadership to translate the latest discoveries into technologies for the scientific community.
To address a constantly shifting set of opportunities as new areas of inquiry become technically feasible for the first time, ACMDD is cultivating research capabilities in:
- Computational Mathematics
- Data Intensive Scientific Computing (DISC)
- High Performance Computing
- Scientific Data Management
Director, Advanced Computing, Mathematics & Data Division
Chief Scientist, Advanced Computing & PNNL Laboratory Fellow