[EFFICIENT INFERENCING & INFRASTRUCTURE TRACK]: Is the Future in Agnostic Software or Hardware/Software Co-Design? | Kisaco Research
Session Topics: 
Software
Hardware
Infrastructure
Systems
Speaker(s): 

Author:

Bing Yu

Senior Technical Director
Andes Technology

Bing Yu is a Sr. Technical Director at Andes Technology. He has over 30 years of experience in technical leadership and management, specializing in machine learning hardware, high performance CPUs and system architecture. In his current role, he is responsible for processor roadmap, architecture, and product design. Bing received his BS degree in Electrical Engineering from San Jose State University and completed the Stanford Executive Program (SEP) at the Stanford Graduate School of Business.

Bing Yu

Senior Technical Director
Andes Technology

Bing Yu is a Sr. Technical Director at Andes Technology. He has over 30 years of experience in technical leadership and management, specializing in machine learning hardware, high performance CPUs and system architecture. In his current role, he is responsible for processor roadmap, architecture, and product design. Bing received his BS degree in Electrical Engineering from San Jose State University and completed the Stanford Executive Program (SEP) at the Stanford Graduate School of Business.

Author:

Edward Kmett

CTO
Positron

Edward spent most of his adult life trying to build reusable code in imperative languages. He converted to Haskell in 2006 while searching for better building materials. Edward served as the founding chair for the Haskell Core Libraries Committee and continues to collaborate with hundreds of other developers on over three hundred functional programming projects on Github. He previously wrote software for stock exchanges at Standard & Poors, served as a researcher at MIRI, and ran Groq's Software Engineering team. As Positron's CTO, today he sets long-term software, architecture, and optimization strategy.

Edward Kmett

CTO
Positron

Edward spent most of his adult life trying to build reusable code in imperative languages. He converted to Haskell in 2006 while searching for better building materials. Edward served as the founding chair for the Haskell Core Libraries Committee and continues to collaborate with hundreds of other developers on over three hundred functional programming projects on Github. He previously wrote software for stock exchanges at Standard & Poors, served as a researcher at MIRI, and ran Groq's Software Engineering team. As Positron's CTO, today he sets long-term software, architecture, and optimization strategy.

Author:

Sree Ganesan

VP of Product
d-Matrix

Sree Ganesan, VP of Product, d-Matrix: Sree is responsible for product management functions and business development efforts across the company. She manages the product lifecycle, definition and translation of customer needs to the product development function, acting as the voice of the customer. Prior, Sree led the Software Product Management effort at Habana Labs/Intel, delivering state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators. Sree earned a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras and a PhD in computer engineering from the University of Cincinnati, Ohio.

Sree Ganesan

VP of Product
d-Matrix

Sree Ganesan, VP of Product, d-Matrix: Sree is responsible for product management functions and business development efforts across the company. She manages the product lifecycle, definition and translation of customer needs to the product development function, acting as the voice of the customer. Prior, Sree led the Software Product Management effort at Habana Labs/Intel, delivering state-of-the-art deep learning capabilities of the Habana SynapseAI® software suite to the market. Previously, she was Engineering Director in Intel’s AI Products Group, where she was responsible for AI software strategy and deep learning framework integration for Nervana NNP AI accelerators. Sree earned a bachelor’s degree in electrical engineering from the Indian Institute of Technology Madras and a PhD in computer engineering from the University of Cincinnati, Ohio.