Events

Previous Events

Jump to year 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015. For information about events prior to 2015, please visit the group’s archival events page.

2022

  • ISAV 2022: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization: A workshop to be held in conjunction with SC22 in Dallas, TX. This workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories who use in situ methods in extreme-scale, high performance computing. The goal is to present existing in-situ infrastructures, reference examples in a range of science and engineering applications, to discuss topics like opportunities presented by new architectures; existing infrastructure needs, requirements, and gaps; and experiences to foster and enable in situ analysis and visualization.

2021

  • 2021 NWB-DANDI Remote Developer Hackathon: Neurodata Without Borders (NWB) and the DANDI neurophysiology data archive development teams are joining together to create a remote hackathon event for developers. In contrast to the User Days hackathons that focus on training users, this event will focus on bringing together the developers of the NWB data standard, the DANDI development team, and developers of tools in the NWB ecosystem. This hackathon will enable participants to work intensively on an NWB or DANDI-related project with the assistance of core developers and others in the community. We will share updates with each other on NWB, DANDI, and related community projects. Together, we can develop and discuss ideas for solving technical problems that impact the broader community. Our goal is to foster collaboration and community among developers working on and with NWB and DANDI.

  • SC21 SENSEI-Ascent Tutorial 2021 – In Situ Analysis and Visualization with SENSEI and Ascent: A key trend facing extreme-scale computational science is the widening gap between computational and I/O rates. A remedy known as in situ processing targets performing as much processing with the data while still resident in memory, thereby avoiding costly I/O. Current efforts in the HPC community produce several production tools for in situ processing with emphasis on scientific use cases on current and future HPC platforms. This tutorial blends lectures and hands-on examples to introduce attendees to in situ processing concepts and provide practical experience using state-of-the-art in situ tools, including: SENSEI, Ascent, ParaView Catalyst, VisIt Libsim, and Cinema. Attendees will learn how to use the SENSEI and Ascent in situ interfaces to couple simulation codes to multiple endpoints. This tutorial is ideal for those who would like to learn how to analyze, visualize, or process data on HPC platforms while it is still resident in memory.

  • ISAV 2021: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization: A workshop to be held in conjunction with SC21 in St. Louis, MO. This workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories who use in situ methods in extreme-scale, high performance computing. The goal is to present existing in-situ infrastructures, reference examples in a range of science and engineering applications, to discuss topics like opportunities presented by new architectures; existing infrastructure needs, requirements, and gaps; and experiences to foster and enable in situ analysis and visualization.

2020

  • 7th NWB Developer Hackatho: NWB:N is an effort to standardize the description and storage of neurophysiology data and metadata. NWB:N enables data sharing and reuse and reduces the energy-barrier to applying data analytics both within and across labs. The purpose of this event is to bring together the NWB development and tool builder community and to further development on NWB-related code projects.

  • 8th NWB Virtual User Days Workshop: The purpose of the NWB User Days training workshop is to bring the experimental neurophysiology community together to further adoption and the development of NWB, the NWB software libraries, and the progress of the scientific workflows that rely on NWB. Members of the community will exchange ideas and best practices for using NWB and the libraries, share NWB-based tools, surface common needs, solve bugs, make feature requests, brainstorm about future funding and collaboration, and make progress on current blockages. The event will also enable NWB developers and users to interact with each other to facilitate communication, gather requirements, and train users

  • 9th NWB Virutal User Days Workshop: The workshop will focus primarily on user training, including lessons for complete beginners to NWB and training in more advanced usage of NWB. There will be breakout sessions where the developers of state-of-the-art data analysis, visualization, and management tools (e.g., CaImAn, SpikeInterface, DANDI, suite2p, DataJoint, and more) will demonstrate their tools and show how to use NWB with their tools. There will also be time for attendees to work on NWB-related projects, such as converting data to NWB, using NWB-compatible software tools, or going through the NWB online tutorials.

  • ISAV 2020: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization: A workshop to be held in conjunction with SC20 in Atlanta, GA. This workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories who use in situ methods in extreme-scale, high performance computing. The goal is to present existing in-situ infrastructures, reference examples in a range of science and engineering applications, to discuss topics like opportunities presented by new architectures; existing infrastructure needs, requirements, and gaps; and experiences to foster and enable in situ analysis and visualization.

2019

  • NWB:N Tutorial at Cosyne 2019: The Neurodata Without Borders: Neurophysiology (NWB:N) team is holding a tutorial on the NWB:N data standard and on using PyNWB and MatNWB at the Cosyne 2019 Workshops.

  • 6th NWB:N Developer Hackathon and User Days: NWB:N is an effort to standardize the description and storage of neurophysiology data and metadata. NWB:N enables data sharing and reuse and reduces the energy-barrier to applying data analytics both within and across labs. The purpose of the hackathon is to bring the experimental neurophysiology community together to further adoption and the development of NWB:N, the NWB:N software libraries, and the progress of the scientific workflows that rely on NWB:N. Members of the community will exchange ideas and best practices for using NWB:N and the libraries, share NWB:N based tools, surface common needs, solve bugs, make feature requests, brainstorm about future funding and collaboration, and make progress on current blockages. The event will also enable NWB:N developers and users to interact with each other to facilitate communication, gather requirements, and train users.

  • ISAV 2019: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization: A workshop to be held in conjunction with SC19 in Denver, CO. This workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories who use in situ methods in extreme-scale, high performance computing. The goal is to present existing in-situ infrastructures, reference examples in a range of science and engineering applications, to discuss topics like opportunities presented by new architectures; existing infrastructure needs, requirements, and gaps; and experiences to foster and enable in situ analysis and visualization.

2018

  • ImageXD 2018: Incredible advances are being made in image processing techniques, tools, and sampling modalities which, together with an increased accessibility to modern imaging equipment, has made image data ubiquitous across many fields, with scales ranging from microscopy to radio astronomy. ImageXD aims to: (i) Foster a cross-disciplinary community of image processing experts from academia, research, and industry. (ii) Develop a shared understanding of each other’s use of image processing data, algorithms, and software. (iii) Help us learn from one another, through tutorials, and collaborative work sessions, about available tools and methods, and the applicability of these to various discipline-specific problems.

  • 5th NWB:N Hackathon: The Neurodata Without Borders: Neurophysiology project (NWB:N) is an effort to standardize the description and storage of neurophysiology data and metadata. NWB:N enables data sharing/reuse and reduces the energy-barrier to applying data analytics both within and across labs. Several laboratories, including the Allen Institute for Brain Science, have wholeheartedly adopted NWB:N. The community needs to join forces to achieve data standardization in neurophysiology. This hackathon event invites experts from the neuroscience community to explore adopting NWB:N for their data sharing needs and lab use cases. The goal of this event is to (i) train new users on NWB:N, (ii) promote adoption of NWB:N, (iii) work with users on programming projects, e.g, to integrate examples of their labs data into NWB:N, (iv) facilitate communication between users and developers and project teams, and (v) engage with the community.

  • ISAV 2018: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization: A workshop to be held in conjunction with SC18 in Dallas, TX, 12 Nov 2018. This workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories who use in situ methods in extreme-scale, high performance computing. The goal is to present existing in-situ infrastructures, reference examples in a range of science and engineering applications, to discuss topics like opportunities presented by new architectures; existing infrastructure needs, requirements, and gaps; and experiences to foster and enable in situ analysis and visualization.”

2017

  • ISAV 2017: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization: A workshop to be held in conjunction with SC17 in Denver, CO, 12 Nov 2017. This workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories who use in situ methods in extreme-scale, high performance computing. The goal is to present existing in-situ infrastructures, reference examples in a range of science and engineering applications, to discuss topics like opportunities presented by new architectures; existing infrastructure needs, requirements, and gaps; and experiences to foster and enable in situ analysis and visualization.

2016

  • 2016 DOE Computer Graphics Forum: April 26–28 2016, Monterey CA.

  • High Performance Data Analysis and Visualization (HPDAV) 2016: May 23 2016, Chicago, IL. An IPDPS workshop focusing on methods and techniques for data analysis and visualization for use on evolving computational platforms.

  • ISAV 2016: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization: A workshop to be held in conjunction with SC16 in Salt Lake City, UT, 13 Nov 2016. This workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories who use in situ methods in extreme-scale, high performance computing. The goal is to present existing in-situ infrastructures, reference examples in a range of science and engineering applications, to discuss topics like opportunities presented by new architectures; existing infrastructure needs, requirements, and gaps; and experiences to foster and enable in situ analysis and visualization.

2015

  • High Performance Data Analysis and Visualization (HPDAV) 2015: An IPDPS workshop focusing on methods and techniques for data analysis and visualization for use on evolving computational platforms.

  • ISAV 2015: In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization: A workshop held in conjunction with SC15 in Austin TX, 16 Nov 2015. This workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories who use in situ methods in extreme-scale, high performance computing. The goal is to present existing in-situ infrastructures, reference examples in a range of science and engineering applications, to discuss topics like opportunities presented by new architectures; existing infrastructure needs, requirements, and gaps; and experiences to foster and enable in situ analysis and visualization.