Ep 15: The Hardware Startup Experience from Business Case to Software with Dr. Karu Sankaralingam, University of Wisconsin-Madison/Nvidia
About this episode
Dr. Karu Sankaralingam discusses his experiences in hardware startups and the principles of dataflow computing.
Dr. Karu Sankaralingam is a Professor at the University of Wisconsin-Madison, an entrepeneur, inventor, as well as a Principal Research Scientist at NVIDIA. His work has been featured in industry forums of Mentor and Synopsys, and has been covered by the New York Times, Wired, and IEEE Spectrum. He founded the hardware startup SimpleMachines in 2017 which developed chip designs applying dataflow computing to push the limits of AI generality in hardware and built the Mozart chip. In his career, he has led three chip projects: Mozart (16nm, HBM2 based design), MIAOW open source GPU on FPGA, and the TRIPS chip as a student during his PhD. In his research he has pioneered the principles of dataflow computing, focusing on the role of architecture, microarchitecture and the compiler. He has published over 100 research papers, has graduated 9 PhD students, is an inventor on 21 patents, and 9 award papers. He is a Fellow of IEEE.
More episodes of Computer Architecture Podcast
- Ep 24: From Unicorns to Centaurs: Codesigning Computer Systems for the AI Era with Dr. Partha Ranganathan, Google
- Ep 22: Measuring Datacenter Efficiency and Visioning the Future of Computer Architecture with Dr. Babak Falsafi, EPFL
- Ep 21: High-assurance Computer Architectures with Dr. Caroline Trippel, Stanford University
- Ep 20: The Tech Transfer Playbook – Bridging Research to Production with Dr. Ricardo Bianchini, Microsoft
- Ep 19: Memory Management and Software Reliability with Dr. Arkaprava Basu, Indian Institute of Science
- Ep 18: Codesign for Industrial Robotics and the Startup Pivot with Dr. Dan Sorin, Duke University
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