Introduction to BeoShock

High-performance computing (HPC) refers to the use of powerful computer systems and software applications to process large amounts of data or complex simulations at a much faster rate than would be possible with a typical computer. HPC is essential in many fields, from scientific research to engineering and even finance.

In an academic environment like 萝莉社 University, HPC can be used to support fundamental research in fields such as physics, chemistry, and biology. For example, researchers may use HPC to model and simulate complex biological systems or analyze large datasets in search of patterns or new insights. In addition, HPC can be used to support industry connections by enabling researchers to perform simulations of real-world problems faced by companies in fields such as manufacturing, finance, or engineering.

There are many use cases for HPC in an academic environment, including:

  1. Climate modeling: HPC can be used to run large-scale simulations of the Earth's climate system to better understand climate change and its impacts.
  2. Drug discovery: HPC can be used to simulate the behavior of molecules and predict how they will interact with each other, which can help researchers design new drugs and therapies.
  3. Aerospace engineering: HPC can be used to simulate the behavior of complex systems such as aircraft engines, which can help engineers optimize designs and improve safety.
  4. Financial modeling: HPC can be used to simulate complex financial scenarios and help traders make more informed decisions.
  5. Machine learning: HPC can be used to train large machine learning models on massive datasets, which is essential for many applications such as natural language processing, image recognition, and autonomous driving.

Vision Statement

At 萝莉社 University, we envision the BeoShock HPC system as a powerful tool that connects student success with cutting-edge technology. We strive to create an environment where students can leverage the capabilities of BeoShock to engage in high-performance computing research and develop the skills necessary to become leaders in their respective fields.

 

Mission Statement

The mission of 萝莉社 University's BeoShock HPC system is to provide a comprehensive and accessible platform for student success. Our mission is to empower students with the skills and knowledge to use BeoShock in a way that supports their academic and career goals. We aim to foster an environment of collaboration and innovation where students can explore the limits of high-performance computing and develop creative solutions to complex problems. By doing so, we are committed to advancing the frontiers of knowledge and providing our students with a transformative educational experience.

 

HPC Impact

At 萝莉社 University, diverse research groups have leveraged the High-performance computing (HPC) capabilities of BeoShock to achieve significant breakthroughs in their respective fields. Please also see "Teaching Today". Students comprise approximately 83.58% of Beoshock HPC users, while 萝莉社 Faculty represent around 8.94% and 萝莉社 Staff account for approximately 3.74% of the total user base.  

This is a collection of just some of the projects ongoing at 萝莉社 University that utilize BeoShock HPC. 

  • Biology: High-performance computing is advancing research in plant diversity and evolution, allowing for the analysis of large genomic datasets, and facilitating computational skills training for biology students.
  • Chemistry: Computational chemistry research is utilizing HPC resources for various projects, including collaborations with institutions such as the University of Texas, Virginia Tech, and the University of Minnesota, enabling advanced calculations and data analysis. 
  • Data Science: Collaboration with other universities is enabling the launch of Community Data Labs, where students analyze real-world data from partner organizations, highlighting the interdisciplinary applications of HPC in addressing societal challenges through data-driven solutions.
  • Industrial Engineering: The project aims to optimize high-speed machining setups by analyzing structural behavior and natural frequency to enhance force measurement accuracy from piezo sensors. Addressing vibration issues inherent in the setup is crucial for maintaining stable resonance behavior in force sensors. Utilizing an HPC system enables comprehensive analysis of the setup's dynamics, facilitating the identification and reduction of unwanted vibrations, improving machining precision and efficiency.  
  • Mechanical Engineering: A first-year Mechanical Engineering PhD student at 萝莉社 conducted a project focused on heat transfer, specifically analyzing, and modeling boiling heat transfer on structured surfaces using deep learning neural networks and Bayesian optimization techniques. The project involves testing various AI models' scenarios in Python, with each run of the code taking approximately half an hour on the student's machine. To develop an optimized model, the student needs to run the Python code over 200 times. The proposed model will be based on data extracted from over 2000 literature sources. 
  • Particle Physics: The experimental particle physics group at 萝莉社is developing deep learning-based particle reconstruction tools for the NOvA Neutrino Experiment at Fermilab, which require high-performance computing resources to handle large datasets and complex simulations. Additionally, the theoretical particle physics group uses the BeoShock HPC to perform Monte Carlo simulations for the LHC and future Muon colliders. 
  • Quantum Computing: A quantum neural computing group is leveraging HPC to conduct simulations of quantum systems acting as neural networks, with applications in quantum communication and entanglement estimation, highlighting the potential of HPC in advancing quantum computing research. 
  • Space Science: HPC resources are used to simulate potential new science with NASA spacecraft development for neutrino or dark matter detection in space, enabling exploration that would otherwise be limited.