FLEX LOGIX TO SPEAK ON AI INFERENCE AT THE LINLEY SPRING PROCESSOR CONFERENCE AND COMPUTER VISION SUMMIT
Saturday, April 23, 2022
MOUNTAIN VIEW, Calif., April 15, 2022 /PRNewswire/ -- Flex Logix® Technologies, Inc., supplier of fast and efficient edge AI inference accelerators and the leading supplier of eFPGA IP, announced today that it will be speaking at two key industry shows in April: The Linley Spring Processor Conference on April 20-21st and the Computer Vision Summit on April 27(th). The talks will focus around the company's InferX(TM) AI inference accelerator, production boards and software solutions, which deliver the most efficient AI inference acceleration for advanced edge AI workloads such as Yolov5.
Linley Spring Processor Conference Presentation 1:
-- Presentation title: Meeting the Real Challenges of AI
-- Track: Session 1 Edge-AI Design
-- Speaker: Randy Allen, Vice President of Software for Flex Logix
-- Abstract: Machine Learning was first described in its current form in
1952. Its recent re-emergence is not the result of technical
breakthroughs, but instead of available computation power. The ubiquity
of ML, however, will be determined by the number of computational cycles
we can productively apply subject to the constraints of latency, power,
area, and cost. That has proven to be a difficult challenge. This talk
will discuss approaches to creating parallel heterogeneous processing
systems that can meet the challenge.
-- When: Wednesday, April 20(th)
-- Location: Hyatt Regency Hotel, Santa Clara
-- Time: 10:20am-12:20pm
Linley Spring Processor Conference Presentation 2:
-- Presentation title: High-Efficiency Edge Vision Processing Using
Dynamically Reconfigurable TPU Technology
-- Track: Session 5 Edge AI Silicon
-- Speaker: Cheng Wang, CTO and Co-Founder of Flex Logix
-- Abstract: To achieve high accuracy, edge computer vision requires
teraops of processing to be executed in fractions of a second.
Additionally, edge systems are constrained in terms of power and cost.
This talk will present and demonstrate the novel dynamic TPU array
architecture of Flex Logix's InferX X1 accelerators and contrast it to
current GPU, TPU and other approaches to delivering the teraops
performance required by edge vision inferencing. We will compare
latency, throughput, memory utilization, power dissipation and overall
solution cost. We'll also show how existing trained models can be easily
ported to run on the InferX X1 accelerator.
-- When: Thursday, April 21(st)
-- Location: Hyatt Regency Hotel, Santa Clara
-- Time: 1:05pm-2:45pm
Computer Vision Summit Presentation 1:
-- Presentation title: The Evolving Silicon Foundation for Edge AI
ProcessingSpeaker: Sam Fuller, Head of AI Inference Product Management
for Flex LogixAbstract: To achieve high accuracy, edge AI requires
teraops of processing to be executed in fractions of a second.
Additionally, edge systems are constrained in terms of power and cost.
This talk will present and demonstrate the novel dynamic TPU array
architecture of Flex Logix's InferX X1 accelerators and contrast it to
current GPU, TPU and other approaches to delivering the teraops
computing required by edge vision inferencing. We will compare latency,
throughput, memory utilization, power dissipation and overall solution
cost. We'll also show how existing trained models can be easily ported
to run on the InferX X1 accelerator.
-- When: Wednesday, April 27(th)
-- Location: San Jose Marriott
-- Time: 10:00am
Computer Vision Summit Presentation 2:
-- Panel Discussion: Developing Scalable AI SolutionsSpeaker: Sam Fuller,
Head of AI Inference Product Management for Flex LogixAbstract: In this
session, panelists will discuss the challenge of rolling out CV
applications to have real impact.
-- When: Wednesday, April 27(th)
-- Location: San Jose Marriott
-- Time: 12:00pm
About Flex Logix
Flex Logix is a reconfigurable computing company providing AI inference and eFPGA solutions based on software, systems and silicon. Its InferX X1 is the industry's most-efficient AI edge inference accelerator that will bring AI to the masses in high-volume applications by providing much higher inference throughput per dollar and per watt. Flex Logix's eFPGA platform enables chips to flexibly handle changing protocols, standards, algorithms, and customer needs and to implement reconfigurable accelerators that speed key workloads 30-100x compared to general purpose processors. Flex Logix is headquartered in Mountain View, California and has offices in Austin, Texas. For more information, visit https://flex-logix.com.
MEDIA CONTACTS
Kelly Karr
Tanis Communications
kelly.karr@taniscomm.com
+408-718-9350
Copyright 2022. All rights reserved. Flex Logix is a registered trademark and InferX is a trademark of Flex Logix, Inc.
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SOURCE Flex Logix Technologies, Inc.
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