SDSC Industry Partners Program (IPP) Technology Forum with SambaNova Systems
For more IPP events, please visit: industry.sdsc.edu

Abstract: In many applications, traditional software development is being replaced by machine learning generated models resulting in accuracy improvements and deployment advantages. This fundamental shift in how we develop software, referred to as Software 2.0, has provided dramatic improvements in application quality and ease of deployment. Additionally, these developments are enabling a new architectural approach where the applications “program” the hardware to provide optimal data flow, efficiency and performance.

This talk will describe a full-stack design approach that tailors the characteristics of deep learning and scientific applications to maximize the capabilities of modern hardware. Domain-specific languages and advanced compilation technology simplify user programmability and optimize hardware resources to achieve the opposing goals of high flexibility and energy efficiency.

Speaker: Kunle Olukotun, Co-Founder & Chief Technologist SambaNova Systems
Kunle Olukotun is co-founder of SambaNova Systems and is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Kunle is well known as a pioneer in multi-core processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project. Kunle founded Afara Websystems to develop high-throughput, low-power multi-core processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems in 2002. Niagara derived processors now power Oracle’s SPARC-based servers.

Olukotun is the Director of the Pervasive Parallel Lab and a member of the Data Analytics for What’s Next (DAWN) Lab which is developing infrastructure for usable machine learning. Olukotun is an ACM Fellow and IEEE Fellow for contributions to multiprocessors on a chip and multi-threaded processor design. Kunle recently won the prestigious IEEE Computer Society’s Harry H. Goode Memorial Award. Kunle received his Ph.D. in Computer Engineering from The University of Michigan.