industry news
Subscribe Now

IC Manage Launches Big Data Labs

Will Accelerate Big Data-Based EDA Software Products for Semiconductor Companies

Dec 13, 2017 – Campbell, CA.  IC Manage, Inc. today announced the launch of its Big Data Labs. IC Manage will make its big data technologies and expertise, developed over the past 8 years, accessible for collaborative work with selected system and semiconductor companies to rapidly deliver cutting edge, big data-based electronic design automation products.

“Big data technology harnesses the exploding data volume, enabling real-time optimization of design and verification processes. It also serves as a foundation for milestone predictions, as well as for machine learning ‘training’ over time,” said Dean Drako, IC Manage’s president and CEO.

Drako continued, “IC Manage’s longstanding data management and big data technologies and expertise enable us to efficiently collaborate with system and semiconductor companies to quickly develop scalable, new electronic design automation software products.”

IC Manage Big Data Labs rapidly addresses the following challenges:

  • High overhead associated with the time- and resource-intensive data acquisition needs for the massive amounts of log and design data across the entire EDA design and verification tool flow.
  • Missing critical connections between silos of data across tools and vendors.
  • Limited resources available to efficiently derive actionable insights, and to ensure top-level management views are linked to implementation details.

IC Manage’s industry-leading big data analytics and data management technologies provide the backbone for its Big Data Labs:

  • IC Manage Envision, ranked #1 by users at the Design Automation Conference in 2015, uses big data technology to analyze massive data volumes to optimize schedule & resource management for design and verification.
  • IC Manage GDP Design and IP Management system, in production use since 2003, uses rapid data access methods to accelerate and design and verification collaboration for more than 15,000 designers and 70 leading semiconductor companies worldwide.
  • Architecture, development, and infrastructure expertise with a track record of delivering differentiated solutions utilizing leading edge big data technologies.

Availability

The big data labs platform is available immediately. To learn more, please visit IC Manage Big Data Labs.

In other news today, IC Manage announced Envision Verification Analytics, which is the first new product to come out of its Big Data Labs initiative.

About IC Manage

IC Manage provides high performance design management and big data analytics solutions for companies to efficiently collaborate on design and verification across their global enterprises, while maximizing their IP reuse. IC Manage customers include Altera, AMD, Cypress, Juniper, Microchip, Northrop, NVIDIA, Rambus, Samsung, Xilinx and other top semiconductor and systems companies. IC Manage Big Data Labs makes IC Manage’s big data technologies and expertise available to semiconductor companies in developing new software products. IC Manage is headquartered in Campbell, CA, with additional offices throughout the U.S., Asia, and Europe.  For more information visit us at www.icmanage.com.

Leave a Reply

featured blogs
Nov 5, 2024
Learn about Works With Virtual, the premiere IoT developer event. Specifically for IoT developers, Silicon Labs will help you to accelerate IoT development. ...
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

Tungsten 700/510 SMARC SOMs with Wi-Fi 6 / BLE
Sponsored by Mouser Electronics and Ezurio
In this episode of Chalk Talk, Pejman Kalkhorar from Ezurio and Amelia Dalton explore the biggest challenges for medical and industrial embedded designs. They also investigate the benefits that Ezurio’s Tungsten700 and 510 SOMs bring to these kinds of designs and how you can get started using them in your next design.
Nov 7, 2024
6,842 views