• 12/9/19 - 12/12/19IEEE Big Data 2019Save the Date:  IEEE International Conference on Big Data!Los Angeles, CA
  • 12/10/19 - 12/11/19Data West's 4th Annual Data Technology Conference: The Challenges of Data Leadership: Balancing Privacy, Accountability, and Digital InnovationData West is a unique research and business forum on knowledge discovery through data. We cover a wide range of knowledge topics and industrial applications in different meeting formats, from new ventures in data analytics, AI and machine learning, to smart manufacturing and new technologies including blockchain and cyber-physical systems, to large-scale system architectures and HPC performance. The format combines conference talks, town hall forums, and breakout sessions across selected topics and industry verticals. La Jolla, CA
  • 12/12/19Comet Webinar: Data Visualization With Python Using Jupyter NotebooksPython is rapidly becoming the programming language of choice for scientific research, and Jupyter Notebooks provide a user-friendly way of writing and running python code and of teaching and learning how to program. Visual analytics is playing an increasiningly important role in data science by allowing researchers to explore massive amounts of data looking for patterns which may not be obvious using conventional analytics methodologies. In this webinar, we will briefly review data visualization principles and practices and jump into a series of data visualization examples using Python libraries including pandas, matplotlib, bokeh, seaborn, and networkx. Webinar
  • 1/10/20 - 3/13/20HPC User Training Series SDSC supports the training of its user community, including students, in all aspects of High-performance computing (HPC). The goal of the training is to prepare new HPC users to run jobs on HPC systems. The scope of the training effort includes several skill development activities, including: HPC architectures, software, and admin skills; Jupyter Notebooks; Basics of parallel programming; Performance characterization of the cluster; Visualization and analysis of big data sets; and other topics. Participants will be given accounts on Comet, the SDSC Supercomputer, and the opportunity to complete several basic assignments. Students who successfully complete the HPC Training program will receive an SDSC Certificate of Completion in HPC Training and UCSD Co-Curricular Record Credit (for students). SDSC Synthesis Center (E-B143)
  • 1/16/20Comet Webinar: Using the NVIDIA Rapids Toolkit on CometThe open source NVIDIA RAPIDS project allows data scientists to GPU-accelerate their data science and data analytics applications from beginning to end, creating possibilities for drastic performance gains and techniques not available through traditional CPU-only workflows. In this webinar we will show how to use RAPIDS to accelerate your data science applications utilizing RAPIDS libraries like cuDF (GPU-enabled  Pandas-like dataframes) and cuML (GPU-accelerated machine learning algorithms). We will demonstrate how to use Jupyter Notebooks on Comet to accelerate Data Science workflows with RAPIDS using interactive computing methods.Webinar
  • 2/25/20 - 2/27/20GO FAIR Train-the-Trainer WorkshopMark your calendars! A 2 ½ day workshop will be held early next year at Georgia Tech. In collaboration with the South Big Data Hub, we will provide advanced GO FAIR training aimed at developing a pool of trainers based in the U.S. Topics include adding value to data with semantic tools, teaching FAIR techniques, uptake of FAIR awareness and practices, and more. The application process is now open for 24 seats, and will be reviewed in early December. Atlanta, GA
  • 7/26/20 - 7/30/20PEARC20: Call for Participation CfP Due January 20, 2020!  PEARC20 will explore the current practice and experience in advanced research computing including modeling, simulation, and data-intensive computing. This yearʻs theme, “Catch the Wave,” embodies the spirit of the community’s drive to stay on pace and in front of the new waves in technology, analytics, and a globally connected and diverse workforce. Scientific discovery and innovation require a robust, innovative, and resilient cyberinfrastructure to support the critical research required to address world challenges in climate change, population, health, energy, and environment.Portland, OR