Cancer Distributed Learning Environment (CANDLE)

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December 7, 2021 – In the latest episode of the Let’s Talk Exascale podcast, Scott Gibson interviews Harry Yoo, Thomas Brettin and Venkatram Vishwanath of Argonne National Laboratory and the CANDLE Project. The podcast was released on December 7, 2021.


Hi and welcome to episode 91 of the Let’s talk exascale Podcast. This is where we explore the efforts of the Department of Energy’s Exascale Computing Project, from development challenges and achievements to the expected ultimate impact of exascale computing on society.

And it’s the fourth in a series of work-based episodes to share best practices in preparing applications for the upcoming exascale Aurora supercomputer at the Argonne Leadership Computing Facility.

The series highlights achievements in optimizing code to run on GPUs. We also provide developers with lessons learned to help them overcome initial hurdles.

Clockwise from bottom left: Harry Yoo, Thomas Brettin and Venkatram Vishwanath of Argonne National Laboratory and the CANDLE Project.

This time we focus on the computer codes used in a project called CANDLE, which stands for CANcer Distributed Learning Environment. It tackles three important scientific challenges in the field of cancer research, and we will hear about them shortly. The work emphasizes machine learning and relies in particular on a single scalable deep neural network, or DNN, code which is also known as CANDLE. The project develops highly efficient DNNs optimized for the unique architectures provided by exascale-class computing platforms such as future Aurora and Frontier systems.

Project CANDLE is a collaborative effort with the US Department of Energy and the National Cancer Institute (NCI), involving Argonne, Lawrence Livermore, Los Alamos and Oak Ridge National Laboratories.

The guests of the program are Thomas Brettin, Venkatram Vishwanath and Harry Hyunseung Yoo from Argonne National Laboratory and the CANDLE project.

Our topics: an overview of the three project challenges, how CANDLE will benefit from exascale computing systems, ECP’s role in the development of CANDLE, and more.

Link to listen and access a full transcript:

https://www.exascaleproject.org/lets-talk-exascale-code-development-cancer-distributed-learning-environment-candle.


Source: Scott Gibson, Exascale Computing Project

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