joel-zysmanJoel Zysman is the Director of High Performance Computing for the University of Miami’s Center for Computational Science. Mr. Zysman has been an active member of the High Performance Computing community for over 15 years. He has held positions in research centers at The Scripps Research Institute (Florida) and in Industry at Merck Research Labs, Silicon Graphics Inc, and Cray Research Inc. He has published numerous articles on IO subsystems as well as HPC applications in research.

He has more than 15 years’ experience in HPC systems and application design and implementation and specializes in storage design, data management and movement, and distributed computing in bioinformatics and life sciences. Mr. Zysman has a particular interest in bringing HPC technologies to non-traditional user communities and has started a joint research program with the Frost School of Music in Computational Musicology and Music Engineering.

  1. “SSE Handbook.” Internal Publication. Cray Research Internal Press, Eagen WI, June 1998.
  2. “Optimizing I/O for Hypercube Systems.” Paper presented to Cray User Group. Cray Research Internal Press, Eagen WI, March 1999.
  3. “Designing Data Access Methods for High Throughput Applications.” SGI – Cray White Paper. SGI, Mountain View CA, August 1999.
  4. “The Use of RDBMS for Bioinformatics Applications.” Xie, G; Wang, Y; Zysman, J; Blevins, R. BioInformatics Technology & Systems, NY, March 2002.
  5. “Data in Motion: A New Paradigm in Research Data Lifecycle Management.” F. Tsinoremas, Joel Zysman, Christopher Mader, Ben Kirtman and Jay Blaire.  Hotwire:  Sept 17, 2012 
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.

  1. Beal, L, M,, L. J. Williams, J. Hummon, W. Baringer, E. J. Kearns, and O. Brown, Five Years of Florida Current Structure and Transport measured from the Royal Caribbean Cruise Ship Explorer of the Sea Geophysical Research Letters.
  2. Antoine, D., A. Morel, B. Gentili, H. R. Gordon, V. F. Banzon, R. H. Evans, J. W. Brown, S. Walsh, W. Baringer, A. Li, In Search of Long term Trends in Ocean Color, Eos Trans. AGU, 84(32), 301, 10.1029/2003EO320002, 2003.
  3. GA Carvalho, PJ Minnett, VF Banzon, W Baringer, CA Heil, Long-term evaluation of three satellite ocean color algorithms for identifying harmful algal blooms (Karenia brevis) along the west coast of Florida: A matchup assessment. Remote sensing of environment 2011 January 17; 115 (1), 1-189, 2011.
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.

  1. Wang, B. Hu, Z. and Zha, G., “A General Sub-Domain Boundary Mapping Procedure for Structured Grid Implicit CFD Parallel Computation,” Journal of Aerospace Computing, Information, and Communication,Vol. 5, 2008
  2. Hu, Z., Zha, G., Roecken, T., Montgomery, M.; Orosa, J., “Transonic compressor rotor design using non-monotonic meanline angle distribution,” Proceedings of the ASME Turbo Expo 2007 – Power for Land, Sea, and Air, 2007, p 369-376
  3. Hu, Zongjun, Zha, Gecheng, “Parallel computation of forced vibration for a compressor cascade,” Collection of Technical Papers – 44th AIAA Aerospace Sciences Meeting, 2006, p 7521-7534.
  4. Hu, Z., and Zha, G., “Parallel Computation of Forced Vibration for A Compressor Cascade,” AIAA 44th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, 2006.
  5. Hu, Z. and Zha, G., “Calculations of 3D Compressible Flows Using an Efficient Low Diffusion Upwind Scheme,” International Journal for Numerical Methods in Fluids, Vol. 107, 2005, pp. 253.269.
  6. Hu, Z., and Zha., Z., “Simulation of 3D Flows of Propulsion Systems Using an Efficient Low Diffusion E-CUSP Upwind Scheme,” 40th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit,Fort Lauderdale, Florida, July 2004, AIAA Paper 2004.4082.
  7. Chen, X., Zha, G., and Hu, Z., “Numerical Simulation of Flow Induced Vibration Based on Fully Coupled Fluid-Structural Interactions,” 34th AIAA Fluid Dynamics Conference and Exhibit, Portland, Oregon, June 28.July 1 2004, AIAA Paper 2004 2240.1
  8. Hu, Z., Zha, G., and Lepicovsky, J., “Numerical Study of a Cascade Unsteady Separation Flow,” ASME Turbo Expo 2004, Power for Land, Sea and Air, Vienna, Austria, June 14.17 2004, ASME Paper GT2004-53195.
  9. Chen, X., Zha, G., Hu, Z., and Yang, M., “Flutter Prediction Based on Fully Coupled Fluid-Structural Interactions,” 9th National Turbine Engine High Cycle Fatigue Conference, March 16.19 2004.
  10. Hu, Z., Zha, G., and Lepicovsky, J., “Numerical Study on Flow Separation of a Transonic Cascade,” AIAA 42nd Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 5-8 2004, AIAA Paper 2004.0199.
  11. Zha, G. and Hu, Z., “Calculation of Transonic Internal Flows Using an Efficient High-Resolution Upwind Scheme,” AIAA Journal, Vol. 42, No. 2, 2004, pp. 205 214, also AIAA Paper 2004-1097.
  12. Jin, D., Wang, D., Hu, Z., Wu, M., Zou, J., “Design of high humidity combustion test rig,” Power Engineering, Vol. 20, No. 5, 2000, pp. 816-820.
  13. Hu, Z., and Wu, M., “Steam Cooling and Its Use in Advanced Combined Cycles,” Gas Turbine Technology, Vol. 11, 1998, pp.27-34
  14. Hu, Z., and Wu, M., “Performance Analysis of Various Gas Turbine Cycles Using Steam Cooling,”Journal of Shanghai Jiao Tong University, Vol. 33, pp.335-338.
  15. Hu, Z., and Wu, M., “A Study of Optimum Steam Injection Rate for a Steam Injected Gas Turbine,”Journal of Engineering for Thermal Energy and Power, Vol. 13, 1998, pp.257-260.
  16. Hu, Z., and Wu, M., “Combined Cycle, Next Century’s Emphasis of Power Development,” Energy Technology, No.72, 1997, pp.6-10.
  17. Hu, Z., Hu, S., and Chen, K., “An Experimental Investigation on Drag Measuring Method for Thin Pipe,” Journal of East China University of Technology, Vol. 18, 1996, pp.79-84.


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.


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.

Davila provides end-user support and systems administration for the core, holding primary responsibility for all database systems and web programming for the core. His research interests include HPC based intelligent applications and services. He is also interested in improving the user experience of resources and services provided by the Center. Davila is 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.


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.