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Stanford University

Data Analytics at the Exascale for Free Electron Lasers Project

Stanford University via YouTube

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Overview

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Explore the challenges and innovative solutions in data management for the Linac Coherent Light Source upgrade (LCLS-II) at SLAC National Accelerator Laboratory. Delve into the LCLS-II Data System architecture, designed to handle extreme data throughput of hundreds of GB/s to multi-TB/s. Learn about the feature extraction layer that aims to reduce data volumes while preserving scientific content, and discover the real-time analysis framework providing rapid visualization and configurable analysis. Examine the fast feedback layer offering dedicated processing resources for quick experimental data quality assessment. Gain insights into the Data Reduction Pipeline (DRP) and online monitoring framework, addressing the increasing velocity, volume, and complexity of data generated by cutting-edge free electron laser experiments.

Syllabus

Stanford Seminar - Data Analytics at the Exascale for Free Electron Lasers Project

Taught by

Stanford Online

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Reviews

4.5 rating, based on 6 Class Central reviews

Start your review of Data Analytics at the Exascale for Free Electron Lasers Project

  • Profile image for Miguel Ribeiro
    Miguel Ribeiro
    O curso Data Analytics at the Exascale for Free Electron Lasers Project oferece uma visão técnica e aprofundada sobre como a análise de dados em larga escala é aplicada em projetos científicos avançados, como os lasers de elétrons livres. Aborda tópicos como processamento de grandes volumes de dados, algoritmos de machine learning e o uso de supercomputadores para acelerar descobertas científicas. É recomendado para quem já tem uma base sólida em ciência de dados e quer explorar aplicações no contexto da física e computação de alto desempenho. Um curso desafiante, mas extremamente enriquecedor para perfis técnicos e investigadores.
  • Profile image for Enes Bakkar
    Enes Bakkar
    This course was incredibly informative and well-structured. The instructor explained complex topics in data analytics and exascale computing in a very simple and engaging way. I especially liked how real-world applications, like the Free Electron Lasers project, were used to demonstrate the relevance of the concepts. It helped me improve my understanding of big data and scientific computing. Highly recommended for anyone interested in data science or high-performance computing.

  • Anil Lambor
    It was useful course I had learn from this website the teachers are uslo qualified and friendly. There learning style is very simple easily understand. I recommend everyone to learn from here.
  • Profile image for Mabedi Vienna Nnyepi
    Mabedi Vienna Nnyepi
    This lecture is about the data analytics challenges at the Stanford Linear Accelerator Center (SLAC) free-electron laser (LCL) project.
    Here are some key points from the lecture:
    * The LCL is a powerful tool for imaging samples at the atomic level.
    * The LCL generates a very high rate of data.
    * Traditional data analysis methods are not sufficient for handling LCL data.
    * A two-stage data reduction approach is proposed to address the data challenges.
    * The amount of computing power needed for LCL data analysis is significant and is expected to increase in the future.
  • Profile image for Gauri Shankar Sharma
    Gauri Shankar Sharma
    I recently completed the Data Analytics course, and I’m genuinely impressed with the experience. The course content was comprehensive, covering key areas such as data cleaning, visualization, statistical analysis, and the use of tools like Excel, SQL, and Python. The instructors were knowledgeable and provided clear, actionable insights, making complex concepts accessible
  • Priya
    I recently completed the Data Analytics course, and I’m genuinely impressed with the experience. The course content was comprehensive, covering key areas such as data cleaning, visualization, statistical analysis, and the use of tools like Excel, SQL, and Python. The instructors were knowledgeable and provided clear, actionable insights, making complex concepts accessible
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