Advanced Computing

University of Miami TRITON Supercomputer Pedro Davila

Advanced Computing

The IDSC Advanced Computing team designs and analyzes high-performance computing (HPC) systems for big-data-system users from a variety of application areas. The team has expertise in developing massively parallel processors, energy, distributed computing, software, and databases. They are also exploring and developing new parallel-computing paradigms and architectures for researchers who need to process, store, retrieve, analyze, and understand massive data sets, where computation and storage breakthroughs are essential. The team strives for synergy and interaction with all classes of research.

Over the past decade, the University’s Advanced Computing platform has grown the HPC cyberinfrastructure from nothing to a regional advanced-computing environment supporting 1,700+ users and a very large state-of-the-art data storage system (well over 10 PB current live data). The U’s latest acquisition, Triton, a state-of-art IBM power9 system was rated one of the Top 5 Academic Institution Supercomputers in the US for 2019, and is UM’s first GPU-accelerated high-performance computing (HPC) system, representing a completely new approach to computational and data science. 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. Triton is designed to accommodate traditional HPC, interactive Data Science, Big Data AI, and Machine Learning workloads. This represents a quantum leap in the University’s computing infrastructure, and it is designed to address the ever-expanding needs of data-driven research.

The University’s first Supercomputer Pegasus, an IBM IDataPlex system, was ranked at number 389 on the November 2012 Top 500 Supercomputer Sites list. Pegasus provided over 90 million CPU/ hours/year to research projects, with a utilization rate near 85%.

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AI and Data Science Capabilities

  • AI/Machine Learning  Platform/Algorithm Selection and Implementation
  • Cybersecurity  End-to-End Solution Design, Implementation, and Support
  • Data Engineering  Identifying, integrating, Cleaning, ETL, Processing
  • Data Management  Pipeline Services from Ingest to Presentation and Preservation
  • Research and Predictive Analytics  Audio Research, IoT, Environmental Monitoring, Security Services
  • Scientific Programming  Code Porting, Optimization, Parallelization
  • Advanced Systems Services  Self-Serve to Concierge Service, Development to 7×24 Non-Stop Operations, On-Premises and Cloud

 

Ravi-Vadapalli-300x300

 

Ravi Vadapalli
Director, Advanced Computing

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.

 

Advanced Computing Team

 

Nicolas Alberti
Nicolas Alberti
Warner Baringer
Warner Baringer
Pedro Davila
Pedro Davila

 

 

 

 

 

 

 

 

 

Kalan Dawson
Kalan Dawson

Erick Marin