In this insightful panel, pioneering architects behind CUDA—including Gregory Diamos, Davor Capalija, Micah Villmow, and Nicholas Wilt—explore the rise of NVIDIA’s CUDA as the standard for parallel computing, and why it remains so dominant today. Gain historical insights into CUDA’s origins, understand the critical synergy between software and hardware that solidified NVIDIA's market position, and learn what it takes to challenge this dominance. Discover where the future of compute architecture is headed, including new programming models, hardware innovation, and how AI could reshape software portability across emerging accelerators.
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Timestamps
0:00 - 1:30 - Panel Introductions: Compute & CUDA Experience
1:31 - 5:59 - The Birth of CUDA: Origins and Early Contributions
6:00 - 9:23 - Why CUDA Became NVIDIA's Moat: Software-Hardware Synergy
9:24 - 11:13 - Key Success Factors: Generality, Performance, and Benchmark Dominance
11:14 - 14:31 - Opportunities Beyond CUDA: Usability & New Programming Models
14:32 - 16:40 - Future Applications & Limits of Current CUDA Innovations
16:41 - 18:27 - CUDA's Evolution: From Simple Programming Model to Complex Ecosystem
18:28 - 22:50 - Audience Q&A: Unifying Software Stacks for Diverse AI Chips
22:51 - 23:05 - Closing Remarks & Panel Wrap-up
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