Artwork

Connected Social Media에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Connected Social Media 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Player FM -팟 캐스트 앱
Player FM 앱으로 오프라인으로 전환하세요!

Behind the Scenes: Arming Researchers with Visualization Know-How

 
공유
 

저장한 시리즈 ("피드 비활성화" status)

When? This feed was archived on September 08, 2022 20:29 (1+ y ago). Last successful fetch was on August 08, 2022 23:26 (1+ y ago)

Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 320368462 series 29991
Connected Social Media에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Connected Social Media 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Scientific visualization (SciVis) is a process of representing raw scientific data as images, which helps scientists improve their interpretations of large data sets. More and more, advanced visualization tools are becoming an integral part of a researcher’s analysis toolkit; and when in the hands of scientists and researchers, they can visualize, interact with, and get better insights from their data. In this podcast, Anne Bowen, a research engineering scientist at the Texas Advanced Computing Center (TACC) shares this process and exciting SciVis use cases with rhinoviruses, oceanography and hydrodynamics, plasma structures, and more.

Guests

  • Anne Bowen, research engineering scientist, Texas Advanced Computing Center (TACC), University of Texas at Austin
  • Donna Nemshick, performance validation lead, Advanced Rendering and Visualization group., Intel

Learn more

Learn.TACC.UTexas.edu

TACC.UTexas.edu

Intel oneAPI Rendering Toolkit

oneAPI: Driving a New Era of Accelerated Computing

oneapi.com

  continue reading

98 에피소드

Artwork
icon공유
 

저장한 시리즈 ("피드 비활성화" status)

When? This feed was archived on September 08, 2022 20:29 (1+ y ago). Last successful fetch was on August 08, 2022 23:26 (1+ y ago)

Why? 피드 비활성화 status. 잠시 서버에 문제가 발생해 팟캐스트를 불러오지 못합니다.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 320368462 series 29991
Connected Social Media에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Connected Social Media 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Scientific visualization (SciVis) is a process of representing raw scientific data as images, which helps scientists improve their interpretations of large data sets. More and more, advanced visualization tools are becoming an integral part of a researcher’s analysis toolkit; and when in the hands of scientists and researchers, they can visualize, interact with, and get better insights from their data. In this podcast, Anne Bowen, a research engineering scientist at the Texas Advanced Computing Center (TACC) shares this process and exciting SciVis use cases with rhinoviruses, oceanography and hydrodynamics, plasma structures, and more.

Guests

  • Anne Bowen, research engineering scientist, Texas Advanced Computing Center (TACC), University of Texas at Austin
  • Donna Nemshick, performance validation lead, Advanced Rendering and Visualization group., Intel

Learn more

Learn.TACC.UTexas.edu

TACC.UTexas.edu

Intel oneAPI Rendering Toolkit

oneAPI: Driving a New Era of Accelerated Computing

oneapi.com

  continue reading

98 에피소드

所有剧集

×
 
Loading …

플레이어 FM에 오신것을 환영합니다!

플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.

 

빠른 참조 가이드