Computer systems have many components. Designing a highly efficient algorithm requires carefully examining the intersection of the algorithm design space and modern computer architecture. The design of algorithms for simultaneous execution on multi-core CPUs and graphics processing units (GPUs) is becoming increasingly important, particularly as the world’s fastest supercomputers rely on GPUs to obtain high computational throughput. The GPU contains thousands of cores that can rapidly carry out computation and have very high on-card memory bandwidth. Working with Prof.… Read more
Student-related
Afghah received an REU supplement to involve undergraduate students in her NSF project
Dr. Afghah received an Research for Undergraduate (REU) supplement of $16k to her current award titled “CRII: SCH: A Computational Framework to False Alarm Suppression in Intensive Care Units”. This grant supports the research of three undergraduate students, James Todd, Nathan Payton-McCauslin and Orvien James Belen to work with her and her group on the analysis of electrocardiogram signals to accurately detect different cardiac events and reduce the high rate of false alarms in ICUs.
Undergraduate Students Measure Photosynthesis in Harvard Forest
NAU Post Doctoral Scientist Dr Tim Rademacher worked with undergraduate students Alexis Helgeson and Elise Miller at Harvard Forest in summer 2019. Alexis and Elise are students from Mt Holyoke College and the College of St Benedict, respectively, and participated in Harvard Forest’s National Science Foundation funded Research Experience for Undergraduates summer program. They measured photosynthesis and leaf fluorescence in the treetops with a boom lift affectionately called “Bucky” (for its bucket enclosure they rode up into the… Read more
In search of mathematical magic: international group comes to NAU to learn how to build a better carbon cycle model
June 10, 2019
On a planet that just hit an atmospheric carbon concentration of 415 ppm, accurately predicting where the carbon is going in the future has never been more important.
Much of what we know about where carbon will be on the globe in 12, 25 or 100 years is due to innovative predictive modeling tools… Read more