Water
Cycle Research: Modern scientific research relies
heavily on the utilization of computing resources. Optimizing
performance of both the hardware and software can effect not only
the efficiency of calculating results, but even the results
themselves. More mathematically precise data and finer spatial
resolution are achievable via computing system optimization. M.
Larko has used combinations of software memory allocation, enhanced
PCI bus transfer mechanisms, kernel header tweaks and other
operating system enhancements to assist in furthering the
efficiency of the water cycle models and, hopefully, knowledge of
the overall global water cycle.
Short
Bio: M. Larko joined
CREW
after twenty years at
NASAs Goddard Space Flight Center
most recently working with the
NASA's Hydrological Sciences Branch
where she was instrumental in providing the computational platform
for the
Land Information Systems
(LIS) project. She employs a variety of Free and Open Source
Software (FOSS), particularly linux, solutions to meet the needs of
the project scientists.
Funded
Projects
Professional Memberships: 
Last Updated: 12 February
2008