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Computing Infrastructure

Access powerful in-campus HPC resources designed for CPU and GPU parallelization, including the Jakar and Punakha clusters. These systems enable researchers to run large-scale simulations, accelerate data processing, and optimize computational workflows for demanding scientific and engineering applications. With support for parallel programming frameworks and GPU-accelerated computing, our HPC environment provides the performance and flexibility needed to tackle complex research challenges efficiently.

Requesting Research Computing Resources at UTEP (Research Data Center - RDC)

   

 Available HPC clusters include

  • Jakar – CPU-based parallelization
  • Punakha – GPU-accelerated processing

 Who Can Request Resources:

  • Faculty, research staff, and students (with faculty approval) for:
    • Research computations
    • Class workshops
    • Training sessions

 Process for Requesting Resources:

Requesting HPC Resources at TACC

   

UTEP faculty are encouraged to utilize Texas Advanced Computing Center (TACC) resources available for all UT System institutions.

  Available Services:

  • High-performance computing,
  • Scientific visualization,
  • Data analysis,
  • AI model training.

  Process for Requesting Resources:

Tips for Successful Requests

  • Plan Ahead: Identify your computational needs (CPU vs GPU, storage, software requirements),
  • If needed, consult with us (UTEP’s Office of Scientific Computing and AI) prior to submission
  • Contact UTEP’s Office of Scientific Computing and AI for guidance and best practices.

Information to be included when requesting allocations:

  • Project description
  • Estimated compute hours
  • Storage requirements
  • Software dependencies

 

 

For additional information or guidance on computing resources contact:

Luis Garnica
  (915) 747-6561