On-Demand-Webinar

Using HLS to Accelerate Computer Vision for Autonomous Drive

Geschätzte Wiedergabezeit: 42 Minuten

Teilen

Using HLS to Accelerate Computer Vision for Autonomous Drive

The algorithms to teach a computer to see, understand and make decisions for ADAS and Autonomous Drive systems require a significant amount of parallel compute performance executing at the lowest possible power. This video will introduce of why HLS (High-level Synthesis) is such a good fit for computer vision and deep learning and how it can be used adapt rapidly changing algorithms and/or trained neural networks to low-power, high performance custom hardware accelerators.

Vorstellung des Referenten

Siemens EDA

Ellie Burns

Former Director of Marketing

Ms. Burns has over 30 years of experience in the chip design and the EDA industries in various roles of engineering, applications engineering, technical marketing and product management. She was formerly the Director of Marketing for the Calypto Systems' Division at Siemens EDA responsible for low-power RTL solutions with PowerPro and HLS Solutions with Catapult. Prior to Siemens and Mentor, Ms. Burns held engineering and marketing positions at CoWare, Cadence, Synopsys, Viewlogic, Computervision and Intel. She holds a BSCpE from Oregon State University.

Verwandte Ressourcen

Aircraft structural design and analysis
Webinar

Aircraft structural design and analysis

Learn how an integrated aircraft structural design and analysis process can help reduce certification and development time and cost overruns.

Konstruktion und Berechnung von Flugzeugstrukturen
White Paper

Konstruktion und Berechnung von Flugzeugstrukturen

Isolierte Tools und Teams können die Herausforderungen einer CO2-neutralen Luftfahrt nicht lösen. Simcenter ermöglicht die gleichzeitige Konstruktion und Berechnung von Flugzeugstrukturen.

Digital image correlation for aircraft materials and structural testing
Webinar

Digital image correlation for aircraft materials and structural testing

Watch this webinar on aircraft materials and structural testing to learn how digital image correlation alleviates limitations and offers new insights.