DSATS : HIGH PERFORMANCE COMPUTING

HIGH PERFORMANCE COMPUTING

      Importance of High performance Computing

  •  It is used for scientific discoveries, game-changing   innovations, and to improve quality of life.
  •  It is a foundation for scientific & industrial       advancements.
  •  HPC is used to solve complex modeling problems in   a spectrum of disciplines. It includes AI, Nuclear   Physics, Climate Modelling, etc.
  •  HPC is applied to business uses as well as data   warehouses & transaction processing.

    Need of High performance Computing

  • It will complete a time-consuming operation in less time.
  • It will complete an operation under a light deadline and perform a high numbers of operations per second.
  • It is fast computing, we can compute in parallel over lot of computation elements CPU, GPU, etc. It set up very fast network to connect between elements.
  • The convergence of HPC solutions and artificial intelligence (AI) is driving a major paradigm shift in classical computing
  • Big Data Analytics

  • We focus on large-scale data analytics problems that arise in different application domains and disciplines.

  • HPC as a Service (HPCaaS)

  • HPCaaS provides the resources required to process complex calculations, working with massive amounts of data through our existing ...

  • MLOps

  • With MLOps, we provide an end-to-end machine learning development process to design, build and manage reproducible, testable, and ...

  • Artificial Intelligent

  • The convergence of HPC solutions and artificial intelligence (AI) is driving a major paradigm shift in classical computing ...

  • High Quality Storage

  • We have experience in parallel file systems, allowing us to obtain easily scalable solutions, both in space and ...

  • System Monitoring and Alerting

  • HPC infrastructure monitoring is critical to ensuring the performance and longevity of scientific tasks

Missions, Visions and Goals

    - Missions

  • - Research groups that are involved in the field of high-performance computing.
  • - Research groups that are not related to high-performance computing but have a need to run parallel applications on powerful computers.
  • - Enterprises that need to use the HPC Lab services.

    - Visions

  • - Development of numerical computation/simulation methods that make efficient use of CPU-GPU/MIC hybrid architecture.
  • - Development of support tools on CPU-GPU/MIC hybrid architecture.
  • - Research tools to convert parallel applications running on traditional CPU architecture to CPU-GPU/MIC hybrid architecture.

    - Goals

  • - Serving high-performance computing research in the field of computers.
  • - Serving scientific calculations in related studies.
  • - Serving training (Research laboratory for graduate students and doctoral students.
  • - Research and application of HPC cloud.

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