SOBRE ESTE PODCAST 🔗
Science in Parallel focuses on people in computational science and their interdisciplinary research to solve energy challenges, discover new materials, model medicines and more — using high-performance computing (HPC) and artificial intelligence. Host Sarah Webb interviews researchers about their career paths and motivations. Our conversations cover topics such as integrating emerging hardware, the effects of remote work, the role of creativity in computing and foundation models in science.
Our show is for curious, science-oriented listeners who like technology. You don't need a deep background in science and computing to learn from our guests.
Science in Parallel has been shortlisted for the Publisher Podcast Awards: for 2022 Best Technology Podcast, 2023 Best Science and Medical Podcast and both categories in 2024 and 2025. It is produced by the Krell Institute and is a media outreach project of the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program.
Our show is for curious, science-oriented listeners who like technology. You don't need a deep background in science and computing to learn from our guests.
Science in Parallel has been shortlisted for the Publisher Podcast Awards: for 2022 Best Technology Podcast, 2023 Best Science and Medical Podcast and both categories in 2024 and 2025. It is produced by the Krell Institute and is a media outreach project of the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) program.
Apresentadores:
Frequência de atualização:
monthly
Duração média do áudio:
29 minutes
Entrevistas com convidados
Inglês
Estados Unidos da América
48 episódios
desde 15 de Julho de 2021
episodic
ÚLTIMO EPISÓDIO 🔗
In 2024, two Ph.D. students, an engineer and a computer scientist, walked up to NVIDIA's booth at the Supercomputing conference. Two years later, they've turned their idea into a beta test for a library called cuNumeric.jl .
In this episode, Ethan Meitz and David Krasowska tell the story of th…
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EPISÓDIOS ANTERIORES 🔗
Ethan Meitz and Jerry Wang of Carnegie Mellon University talk about molecular simulation, heat transfer and how conversation in many forms has shaped Ethan's Ph.D. research. Ethan is a mechanical engineering Ph.D. student and current DOE Computational Science Graduate Fellow, and Jerry is his Ph.D.…
On July 15, 2021, Science in Parallel launched a six-episode season celebrating the 30th anniversary of the Department of Energy Computational Science Graduate Fellowship program. After five years, 45 episodes and 55 guests, we're celebrating our coverage of computational collaboration and creativi…
Recently four alumni of the Department of Energy Computational Science Graduate Fellowship (DOE CSGF) met and discussed quantum science and quantum computing. They also shared how the DOE CSGF helped their careers and their advice for new fellows and other early career computational scientists. To …
Quantum computing involves collaboration and interdisciplinarity, the meeting of minds from different perspectives to solve problems where their expertise overlaps. This episode does a version of that with audio, bringing together insider insights from four quantum researchers across industry, acad…
NVIDIA is known for its AI work, and in quantum computing the company focuses on integrating quantum processors with classical processors to accelerate quantum computing. In this conversation NVIDIA's Sam Stanwyck talks about the challenge and importance of quantum error correction, the company's w…
Quantum computing comes with a new layer of concepts. Quantum bits are called qubits, but there's more. Physical qubits are often grouped to form logical qubits. In our recent conversation with Jarrod McClean, we discussed logical qubits. And we're sharing that discussion as a Science in Parallel s…
In our seventh season, we're putting a spotlight on quantum computing, technology that could help speed up high-performance computing and artificial intelligence, shore up cybersecurity, study complex natural systems and much more.
Jarrod McClean works on quantum algorithms and applications at th…
Computational science requires translation, breaking ideas and principles into pieces that algorithms can parse. The work requires experts capable of zooming in on core computer science while also being able to step back and make sure that the big scientific questions are addressed.
This guest, Su…
Aviso: O podcast e a arte incorporada nesta página são de Krell Institute, que é propriedade de seu proprietário e não é afiliado ou endossado por Listen Notes, Inc.
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