Advanced Computing (AC) is a university wide resource that provides academic and research communities comprehensive high performance computing resources ranging from hardware infrastructure to expertise in design and implementation of advanced computing solutions.
AC resources enable researchers to simulate real-world experiments with mathematical models of complex, naturally occurring phenomena within the virtual laboratory of computer memory. CCS supercomputers are used for a wide range of computationally intensive tasks tackling interdisciplinary fields of study, such as:
- Quantum Mechanics
- Weather Forecasting and Climate Research
- Oil and Gas Exploration
- Molecular Modeling
- Chemical Compounds
- Bioinformatics, and
- Physical Simulations (such as: simulations of the creation of the universe, airplane and spacecraft aerodynamics, the detonation of nuclear weapons, and nuclear fusion).
Access offers an allocation of CPU hours and temporary disk space. CCS accounts are available to individuals affiliated with the University of Miami. To use the supercomputers, complete a CCS New Account Request form.
Office: Room 600.25, Gables One Tower
J. Warner Baringer is a senior systems engineer in the HPC core. Prior to joining CCS, he was a senior research associate in the Rosenstiel School of Marine and Atmospheric Science’s Division of Meteorology and Physical Oceanography, where he managed the remote sensing computer lab and implemented distributed, high-performance systems capable of storing and processing decades of remotely sensed data.
Baringer supports all C, C++ and Perl programming for the core as well as being responsible for all parallel file systems (GPFS, GFS, GFFS XSEDE Pilot project). Mr. Baringer has started porting several codes to Phi including two satellite-mapping programs for NASA. He is a graduate of Tulane University in New Orleans, LA.
Office: Room 600.21, Gables One Tower
Giannina Bianchi joined the University of Miami’s Center for Computational Science in January 2016 and is part of the Advanced Computing team as a Senior Research Analyst. Giannina collaborates with UM researchers and investigators by providing data and statistical analysis.
Giannina did her Bachelor in Business Administration at the Universidad de los Andes in Bogota, Colombia and later did her MBA at the University of Miami in 2012. She recently graduated from the first generation class of the Master of Science in Business Analytics at the University of Miami in 2015, where she found and pursued her interest in data analytics.
Office: Room 600.21, Gables One Tower
Pedro M. Davila joined CCS as a systems administrator with the high performance computing core in May 2011. Prior to joining CCS, Davila was a systems administrator with UM’s IT Student Support Services where he administered more than four dozen Linux and Windows servers, including the university’s Red Hat Network Satellite Server. Davila provides end-user support and systems administration for the core, holding primary responsibility for all database systems and web programming for the core. Davila is also the primary systems administrator for CCS’ Tivoli disaster recovery/backup solution. This TSM environment supports UM’s genomic data warehouse which currently occupies 2.0 PB of tape. Proud to be a Miami Hurricane, Pedro obtained his BS and MS in Computer Science from the University of Miami in 2003 and 2005.
Office: Room 600.26, Gables One Tower
Kalan Dawson joined the University of Miami’s Center for Computational Science in April 2014 as a systems administrator. Kalan has previously worked in both UM IT and Student Academic Services and is proud to once again join her alma mater.
She has experience in business analytics, software development, data visualization, and database design. Kalan supports data center systems, end-users, and the consumption of baked goods. She obtained her BS in Computer Science (along with subsequent degrees in Psychology and Liberal Arts) from the University of Miami in 2011. Her interests include the impact of pattern matching optimization on unstructured data analytics and the use of computer modeling and visualization tools in sytaesthesia research.
Office: Room 600.12, Gables One Tower
Shijia is working as a Research Assistant for the Advanced Computing Team. Shijia did her Bachelor in Neuroscience, and Master in Biomedical Engineering and Music Engineering at the University of Miami. She has experience in signal processing, machine learning and software development. She is currently working on building data acquisition systems and big data analysis.
Office: Room 600G, Gables One Tower
Dr. Zongjun Hu joined the Center for Computational Science (CCS) of the University of Miami as Assistant Scientist in November 2007. Dr. Hu is a researcher that has significant expertise in schedulers and parallel computation. He has expertise in LSF and Moab and has been a regular contributor to the Maui/Torque projects. He is also a contributor to the CRAN and Linux kernel projects specializing in parallel computing and system scheduling. Dr. Hu also brings domain expertise in computational fluid dynamics, aerodynamics, and turbomachinery. He supports all Fortran, MPI, R and CUDA programming for the HPC core. Through the Intel early adopter program Dr. Hu has also started work on porting several CFD codes to the new Intel Phi accelerator. joining CCS, Dr. Hu worked in Acxiom Corporation and GSS Enterprise Network Solutions, Inc. where conducted research and development in Linux network product, database, web service, grid computing, NAS. He received his Ph.D. degree from the Department of Mechanical and Aerospace Engineering at the University of Miami.
Office: Room 600.27, Gables One Tower
Dr. Natalie Perlin joined the University of Miami’s Center for Computational Science in January 2014 as a Senior System Analyst, sharing a Scientist Position at the Rosenstiel School of Marine and Atmospheric Science. Prior to joining the University of Miami, Dr. Perlin worked as a Research Associate at the College of Earth, Ocean, and Atmospheric Sciences at Oregon State University.
Dr. Perlin has extensive experience in using diverse computer systems for scientific research in the area of numerical modeling of atmospheric and ocean processes, numerical analysis, visualization tools of scientific data and has been involved in computer modeling and scientific programming since 1995. She also has experience with parallel computing, system management, and development of coupled Earth System Modeling applications. Dr. Perlin received her PhD in Mesoscale Meteorology at Tel Aviv University in 2001, and her Masters in Engineering Meteorology at Russian State Hydrometeorological University in 1993.
Office: Suite 600.31, Gables One Tower
Sean is a student assistant working with Advanced Computing.
He was born and raised in Miami to his two U.M.-devoted parents, causing him to grow up a ‘Canes fan all his life. Beginning at the University in the fall of 2016, he is currently majoring in Computer Engineering with a minor in Mathematics.
Aside from his love of computers and technology, he is also an avid fan of all kinds of sports and loves spending time with his closest friends and family.
Office: Room 340A, LaGorce Building 35, School of Architecture
Programmer | Advanced Computing