Linley Fall Processor Conference 2018 |
» Events | Day One | Day Two | Proceedings
The Linley Fall Processor Conference was held on October 31 - November 1, 2018 at the Hyatt Regency Hotel, Santa Clara, CA. Proceedings are now available at the above link.
This two-day conference featured technical presentations addressing processors for communications, IoT, servers, and advanced automotive systems, with a special focus on AI acceleration across these markets.The program included 29 talks, 2 keynotes, and 12 product or technology announcements, such as:
An Advanced DSP Architecture for Neural Networks and Audio Processing,
Sachin Ghanekar, Design Engineering Group Director, Cadence
Implementing Flexible Interconnect Topologies for Machine Learning Acceleration,
Kurt Shuler, VP of Marketing, ArterisIP
On-Device AI Processing for IoT Applications,
Anar Mehta, Product Manager, Qualcomm
A High-Performance Reconfigurable Neural Accelerator with Low DRAM Bandwidth,
Cheng Wang, Co-Founder, Sr VP Engineering, Flex Logix
Eliminating the Gaps in Securing Data from Creation-to-Use,
Kevin Deierling, Vice President of Marketing, Mellanox
Line-Rate Link Protection Beyond 400Gbps,
Maxim Demchenko, Silicon IP Solutions Architect, Inside Secure
Improving Server Efficiency by Optimizing the Network Interface and Its Memory,
Salman Jiva, Sr. Business Development Manager, CNBU, Micron
An Open, Composable Architecture for Best-in-Class Domain-Specific Accelerators,
Niel Viljoen, Chief Executive Officer & Founder, Netronome
Bringing AndeStar Advantages to RISC-V Processors,
Justin Tseng, Vice President of RD-VLSI and M&S, Andes Technology
Opportunities and Challenges of Building Silicon in the Cloud,
Yunsup Lee, CTO, SiFive
Secure Processing After Meltdown and Spectre,
Ben Levine, Senior Director of Product Management, Rambus
Scalable FPGA Platform for High-Volume Products,
Sammy Cheung, Founder, President, and CEO, Efinix
Deterministic Network and I/O Connectivity Requirements of the Industrial IoT,
Jeff Steinheider, Digital Networking, Product Manager, NXP
Low-Power GNSS for Tomorrow's IoT SoCs,
Richard Edgar, Director of Communications Technology, Ensigma, Imagination
Reducing SoC Bandwidth Consumption for Performance, Power and Cost Tuning,
Kristof Beets, Senior Director of Product Management & Technology Marketing, PowerVR Graphics, Imagination
Reducing Power and Accelerating Neural-Network Performance in Android Devices,
Allen Watson, Product Marketing Manager, Synopsys
Addressing Small-Processor Security Today and Tomorrow,
Derek Atkins, Chief Technology Officer, SecureRF
Physically Securing Your IoT Device at the Silicon Level,
Diya Soubra, Director Business Development, Arm
Keynote Presentation:
Codesign in Google TPUs: Inference, Training, Performance, and Scalability,
Cliff Young, Engineer, Google
An Ecosystem and Strategy for Accelerating AI at the Edge,
Fadi Azhari, VP, Marketing, Wave Computing
A Specialized Processor for Deep-Learning Inference at the Edge,
Yair Siegel, Director of Marketing, CEVA
Energy Limited - Machine Learning Inference at the Edges,
Paul Master, Co-founder and CTO, Cornami
Scaling for Production: Balancing Flexibility with Efficiency for Automotive AI,
Tony King-Smith, Executive Advisor, AImotive
Enabling A Mixed Safety-Criticality Future,
Govind Wathan, Senior Product Manager, Arm
Efficient Processing for Automotive Radar and Lidar,
Graham Wilson, Product Marketing Manager, Synopsys
Memory Systems for AI and Leading-Edge Applications,
Steven Woo, VP, Systems and Solutions and Distinguished Inventor, Office of the CTO, Rambus
AI Shapes Next-Generation Memory Solutions,
Ryan Baxter, Director of Datacenter Marketing, CNBU, Micron
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