Artwork

Contenuto fornito da Conor Hoekstra, Bryce Adelstein Lelbach & Ben Deane, Conor Hoekstra, Bryce Adelstein Lelbach, and Ben Deane. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Conor Hoekstra, Bryce Adelstein Lelbach & Ben Deane, Conor Hoekstra, Bryce Adelstein Lelbach, and Ben Deane o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Player FM - App Podcast
Vai offline con l'app Player FM !

Episode 242: Thrust & Parallel Algorithms (Part 4)

36:12
 
Condividi
 

Manage episode 493888473 series 2827294
Contenuto fornito da Conor Hoekstra, Bryce Adelstein Lelbach & Ben Deane, Conor Hoekstra, Bryce Adelstein Lelbach, and Ben Deane. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Conor Hoekstra, Bryce Adelstein Lelbach & Ben Deane, Conor Hoekstra, Bryce Adelstein Lelbach, and Ben Deane o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode, Conor and Bryce chat with Jared Hoberock about the NVIDIA Thrust Parallel Algorithms Library and more!.

Socials

About the Guest

Jared Hoberock joined NVIDIA Research in October 2008. His interests include parallel programming models and physically-based rendering. Jared is the co-creator of Thrust, a high performance parallel algorithms library. While at NVIDIA, Jared has contributed to the DirectX graphics driver, Gelato, a final frame film renderer, and OptiX, a high-performance, programmable ray tracing engine. Jared received a Ph.D in computer science from the University of Illinois at Urbana-Champaign. He is a two-time recipient of the NVIDIA Graduate Research Fellowship.

Show Notes

Date Generated: 2025-05-21
Date Released: 2025-07-11

Intro Song Info

Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic
Creative Commons — Attribution 3.0 Unported — CC BY 3.0
Free Download / Stream: http://bit.ly/l-miss-you
Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

  continue reading

264 episodi

Artwork
iconCondividi
 
Manage episode 493888473 series 2827294
Contenuto fornito da Conor Hoekstra, Bryce Adelstein Lelbach & Ben Deane, Conor Hoekstra, Bryce Adelstein Lelbach, and Ben Deane. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Conor Hoekstra, Bryce Adelstein Lelbach & Ben Deane, Conor Hoekstra, Bryce Adelstein Lelbach, and Ben Deane o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode, Conor and Bryce chat with Jared Hoberock about the NVIDIA Thrust Parallel Algorithms Library and more!.

Socials

About the Guest

Jared Hoberock joined NVIDIA Research in October 2008. His interests include parallel programming models and physically-based rendering. Jared is the co-creator of Thrust, a high performance parallel algorithms library. While at NVIDIA, Jared has contributed to the DirectX graphics driver, Gelato, a final frame film renderer, and OptiX, a high-performance, programmable ray tracing engine. Jared received a Ph.D in computer science from the University of Illinois at Urbana-Champaign. He is a two-time recipient of the NVIDIA Graduate Research Fellowship.

Show Notes

Date Generated: 2025-05-21
Date Released: 2025-07-11

Intro Song Info

Miss You by Sarah Jansen https://soundcloud.com/sarahjansenmusic
Creative Commons — Attribution 3.0 Unported — CC BY 3.0
Free Download / Stream: http://bit.ly/l-miss-you
Music promoted by Audio Library https://youtu.be/iYYxnasvfx8

  continue reading

264 episodi

Tutti gli episodi

×
 
Loading …

Benvenuto su Player FM!

Player FM ricerca sul web podcast di alta qualità che tu possa goderti adesso. È la migliore app di podcast e funziona su Android, iPhone e web. Registrati per sincronizzare le iscrizioni su tutti i tuoi dispositivi.

 

Guida rapida

Ascolta questo spettacolo mentre esplori
Riproduci