Advanced Computing

University of Miami Superomputers

Advanced Computing

Through IDSC, the University of Miami maintains one of the country’s largest centralized academic cyberinfrastructures. Since 2007, University researchers and their collaborators contributed to an exponential growth in advanced computing investments amounting to more than 240 TFLOPS of computing capacity and more than 3 PB of parallel storage. UM’s computing facility currently supports more than 50 user groups across science, engineering, liberal arts, and medicine.

The TRITON supercomputer is the U’s first GPU-accelerated High-Performance Computing system, rated one of the top 5 US academic institution supercomputers when launched in 2019. TRITON supports completely new approaches to computational and data science for all UM campuses. Built using IBM Power Systems AC922 servers, this system was designed to maximize data movement between the IBM POWER9 CPU and attached accelerators, like GPUs.

IDSC Advanced Computing collaborates with IDSC Systems and Data Engineering to provide a comprehensive set of services and training opportunities for a well-rounded research computing and data science experience.

Advanced Computing Team

Ravi-Vadapalli-300x300

Ravi Vadapalli | Director

Research Associate Professor, Dept. of Electrical and Computer Engineering, UM College of Engineering

Dr. Vadapalli joined IDSC after serving as Program Director for the Center for Agile and Adaptive Additive Manufacturing and Senior Director for IT Support at the University of North Texas (UNT) in Denton. Prior to UNT, Dr. Vadapalli was a Senior Research Scientist at the High-Performance Computing Center at Texas Tech University (TTU) in Lubbock. In those roles, he helped secure nearly $3 million dollars in external funding, more than $40 million in grant proposals, and more than $230 million in-kind grants for skilled workforce training.

One of Dr. Vadapalli’s priorities is advancing cancer care and research through machine learning (ML), artificial intelligence (AI), and powerful computer models. At TTU, he partnered with researchers at M.D. Anderson Cancer Center and Rice University to accelerate the development of patient treatment plans.

Dr. Vadapalli is also interested in applying advanced computing tools to develop sophisticated climate models involving ocean and atmospheric conditions. Dr. Vadapalli holds a Doctorate in Nuclear Physics from Andhra University in India, and a Master’s degree in Computational Engineering from Mississippi State. He and his wife have two sons.  Read the IDSC Magazine article welcoming Dr. Vadapalli.

J. Warner Baringer

J. Warner Baringer | Assistant Director

Prior to joining the Frost Institute for Data Science and Computing (formerly the “Center for Computational Science”), Warner 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.

Warner 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). He 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.

Nicolas Alberti

Nicolas Alberti

Pedro Davila

Pedro Davila

LeBrain Jones, mascot of the University of Miami Frost Institute for Data Science and Computing, placeholder for Dmitry Kolesov

Dmitry Kolesov

Elvis Maradzike

Elvis Maradzike

Expertise/Interests: Quantum Chemistry,
Scientific Programming for HPC Platforms

Other Interests: Deep Learning for Science,
Cheminformatics, Hybrid Classical/Quantum Computing

Erick Marin

Erick Marin

Rajesh Pasupuleti

Rajesh Pasupuleti

Expertise/Interests:  AI + Machine Learning,
Cyber Security and Threat Detection Analysis,
Business and Big Data Analytics, Grant Collaborations,
Research and Predictive Analytics

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HPC + Data Science Services
  • High-Performance Computing
    Multi-core enabled computational research support services across both CPU to GPU environments, job scheduling and management, high-performance parallel storage, and visualization services.
  • Data Science and Analytics
    Customized training sessions in harnessing data science tools for research and training. Areas of support include: imaging, pattern recognition, convolutional neural networks, and deep learning strategies (contact us at idsc@miami.edu for your specific needs).
  • Research Facilitation Support for translation of science drivers into computational research opportunities. Services include: algorithms, application development strategies, programming environment selection, etc.
  • Application Support Configuration, installation, and optimization of application codes for native hardware and cloud environments supported through ACS.
  • User Training Resource-specific user training and engagement opportunities are available upon request.
  • Grant Collaborations Engagement with faculty and researchers in computational research and data science related grant collaborations, justification for resource needs, and collaboration in science drivers.
  • Scientific Programming
    Code Porting, Optimization, and Parallelization Support Vector Machines
  • Data Management
    Scratch storage for application driven intermediate data. Archival storage is available through UMIT research services. Hyperlink: https://it-resources.research.miami.edu/
  • Consultation Services
    Application to hardware to algorithm selection toward harnessing both advanced computing and data science capabilities.
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