The ASCR Research Division underpins DOE's world leadership in scientific computation by supporting research in applied mathematics, computer science, high-performance networks and computational partnerships (SciDAC).

COMPUTER SCIENCE
The Computer Science program generates innovative advancement in computer performance and computational science techniques.
Link to the ASCR Computer Science Web Page>

APPLIED MATHEMATICS
The Applied Mathematics program supports mathematical and computational research that facilitates the use of the latest high-performance computer systems in advancing our understanding of science and technology. This program supports research at many academic institutions.
Link to the ASCR Applied Mathematics Web Page>

NEXT GENERATION NETWORKING FOR SCIENCE
(Distributed Network Environment Research)
(Collaboratories & Advanced Networking Research)
The Next Generation Network for Science program in ASCR conducts research and development activities to support distributed high-end science in the Office of science.  It focuses on end-to-end of high-performance, high-capacity, and middleware network technologies needed to provide secure access to distributed science facilities, high-performance computing recourses, and large-scale scientific collaborations.
Link to the ASCR Networking Web Page>

SCIENTIFIC DISCOVERY Thru ADVANCED COMPUTING
(SciDAC)
The Scientific Discovery through Advanced Computing Program (SciDAC) supported by the Department of Energy Office of Science is now in its seventh year.  This unique program has brought together computational scientists, applied mathematicians, and computer scientists from across application domains and from universities and national laboratories across the United States.  As a result, the computational state-of-the-art in many fields has advanced significantly, and the program has enabled studies that have only been dreamed about in the past.  On top of this, a new infrastructure is developing for scientific advances at the Petascale and beyond.
Link to the ASCR SciDAC Web Page>