Linley Fall Processor Conference 2019 |
» Events | Day One | Day Two | Proceedings
The Linley Fall Processor Conference was held on October 23 - 24 at the Hyatt Regency Hotel in Santa Clara, CA. Proceedings are now available at the link above. Click here to view the keynotes on our Youtube channel.
The conference presentations featured AI acceleration, targeting edge, automotive, IoT, and data center. Also covered were new CPU architectures, networking, memory, security, SoC design, and other processor-related topics.
Principal Analyst Linley Gwennap, The Linley Group, opened the conference with his keynote, “Accelerating AI from Cloud to Edge.” The second day started with a keynote from Misha Smelyanskiy, Director of AI System Codesign Group, Facebook, “Challenges and Opportunities of Architecting AI Systems at Data-Center Scale.”
The remainder of the program included 28 talks and panel discussions covering a broad range of topics, such as:
Scaling AI Training Systems with the Gaudi Processor
Eitan Medina, Chief Business Officer, Habana
Using Industry-Standard Techniques to Accelerate AI Software
Andrew Richards, CEO, Codeplay
Practical Machine Learning at the Extreme Edge
Semir Haddad, Sr Director, Product Marketing, Eta Compute
NeuronFlow: A New Computational Paradigm for Edge Processing
Jonathan Tapson, Chief Development Officer, GrAI Matter Labs
A Neuromorphic Processor for Next-Generation AI
Mike Davies, Director, Neuromorphic Computing Lab, Intel
Machine Learning on a Tiny Low-Power FPGA
Hoon Choi, Fellow, R&D, Lattice Semiconductor
Introducing Akida: An Event-Based Processor
Anil Mankar, Chief Development Officer, Brainchip
Efficiency at Scale – 4K Image Processing in Edge Devices
Paul Master, CTO and cofounder, Cornami
Designing a GPU for the 5G Era
Kristof Beets, Senior Director of Product Management & Technology Marketing, PowerVR Graphics, Imagination
Server Processors Require Targeted Application Differentiation
Gopal Hegde, VP & GM, Server Processor Business Unit, Marvell
AI Inference at the Edge–Recent Trends and Solutions
Lazaar Louis, Senior Director, Cadence
Delivering Scaled-Up ML Performance for Mobile, Embedded, and Automotive
Raviraj Mahatme, Sr Product Manager, ML Group, Arm
A New Generation of Advanced AI/Floating-Point DSPs
Graham Wilson, Senior Product Marketing Manager, Synopsys
The SiFive Open Secure Platform Architecture
Dany Nativel, Security Director, SiFive
Security for AI Applications
Neeraj Paliwal, VP of Cryptography Products, Rambus
Enabling Smarter Security on SmartNIC
Sakir Sezer, CTO, Titan IC
AI and Vision Processor for Camera-Based Automotive Use Cases
Yair Siegel, Director of Marketing, CEVA
Integrating AI Accelerators into Automotive SoCs with Functional Safety
JP Loison, Corporate Application Engineer, ArterisIP
A Processor for 5G Open RAN Systems
Toby Foster, Senior Product Marketing Manager, NXP
Introducing Intel Tremont Microarchitecture
Stephen Robinson, Senior Principal Engineer – Tremont Architecture, Intel
Scalable IP for High-Performance Workloads SoC Design
Krste Asanović, Co-Founder & Chief Architect, SiFive
The Next Level of Performance and Energy-Efficient Edge Computing
Simon Craske, Lead Embedded Architect and Fellow, Arm
Edge Inference Architecture for High Throughput at Low Power and Low Cost
Cheng Wang, Sr. VP, Software, Architecture, Engineering, Flex Logix
A Graph-Based Dataflow Architecture for Executing Neural Networks
Dave Fick, CTO and founder, Mythic
A New Generation of Processors and SmartNICs
Kevin Deierling, Vice President of Marketing, Mellanox
Memory in the New Era of Compute
Craig McGowan, Sr. Business Development Manager, Compute & Networking Business, Micron
Next-Generation FPGAs for Accelerating Compute, Network, and Storage Workloads
Manoj Roge, Vice President of Strategic Product Planning, Achronix
Bringing Native AI Processing to the Edge
Chien-Ping Lu, CTO, NovuMind
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