tag: Mentor

ON Semiconductor Reduces Memory BiST Insertion Time By 6X With Tessent Hierarchical Flow
By Mentor, a Siemens Business - 05 Aug, 2019 - Comments: 0

This paper describes a case study on the insertion of memory BiST for an ON Semiconductor multi-million gate-level netlist with 300 memory instances. The physical implementation will be done using a flat layout. Two different methodologies can be applied when it comes to physical implementation; hierarchical or fullflat. When performing physical implementation as full-flat flow, typically the D... » read more

Solving 5G’s Thorniest Issues
By Ed Sperling - 01 Aug, 2019 - Comments: 0

5G rollouts are beginning to hit the market, accompanied by a long list of unsolved technical and business issues surrounding this next-generation wireless technology. But progress is being made on some of the key challenges facing this technology, even though not all of those solutions will be in place at launch. The real challenges are with millimeter-wave implementations of 5G, which oper... » read more

Reducing Your Fault Campaign Workload Through Effective Safety Analysis
By Jake Wiltgen - 01 Aug, 2019 - Comments: 0

As the automotive industry strives for greater levels of autonomous functionality, ICs will become integral in virtually every vehicle system. Companies previously embedded in non-safety critical markets are transitioning current technologies to the growing and rapidly evolving automotive market. These companies will face the unfamiliar challenges associated with having to enhance their IP to s... » read more

Where Should Auto Sensor Data Be Processed?
By Ann Mutschler - 01 Aug, 2019 - Comments: 0

Fully autonomous vehicles are coming, but not as quickly as the initial hype would suggest because there is a long list of technological issues that still need to be resolved. One of the basic problems that still needs to be solved is how to process the tremendous amount of data coming from the variety of sensors in the vehicle, including cameras, radar, LiDAR and sonar. That data is the dig... » read more

AI/ML’s Role In ADAS
By Ann Mutschler - 01 Aug, 2019 - Comments: 0

Self-driving cars are headed this way, but not for a while. And that’s not a bad thing. As I discuss in my article, “Where Should Auto Sensor Data Be Processed?” there is still much to be worked out just on the technology side, such as how and where to process the significant amount of data coming into the vehicle from the outside world. [caption id="attachment_24152605" align="al... » read more

High-Level Synthesis For Autonomous Drive
By Mentor, a Siemens Business - 31 Jul, 2019 - Comments: 0

The sensors in autonomous vehicles continuously generate a high volume of data in real time about the environment surrounding the car. The vehicles need new hardware architectures to be able to process this data quickly and make decisions that enable self driving. Catapult, the industry’s leading High-Level Synthesis (HLS) platform, provides a new paradigm of designing silicon at a higher lev... » read more

Blog Review: July 31
By Jesse Allen - 31 Jul, 2019 - Comments: 0

Cadence's Meera Collier checks out a study that uses AI and natural language processing techniques to infer new discoveries in materials science from published academic literature and considers how it could be used in the future. Synopsys' Taylor Armerding considers whether the NIST Secure Software Development Framework, the latest standard aimed at improving software security, can succeed. ... » read more

Inferencing At The Edge
By Ed Sperling - 31 Jul, 2019 - Comments: 0

David Fritz, head of corporate strategic alliances at Mentor, a Siemens Business, shows how to apply YOLO (you only look once) at the edge, allowing automotive companies to move from a GPU to a much more efficient processor. That allows inferencing to move much closer to the sensor, so neural networks can be tailored to the type of data being produced. From there the data can be abstracted and ... » read more

Week In Review: Manufacturing, Test
By Ed Sperling - 26 Jul, 2019 - Comments: 0

Deals Apple will pay $1 billion to buy Intel's smartphone modem unit. Under the terms of the agreement, Apple will hire 2,200 Intel employees and acquire Intel's IP and equipment. The deal, expected to close in Q4, puts an end to Intel's attempts to win a piece of the smartphone market. But the chipmaker retains the right to develop modems for non-smartphone applications, including PCs, IoT de... » read more

Week In Review: Design, Low Power
By Jesse Allen - 26 Jul, 2019 - Comments: 0

CEVA acquired the Hillcrest Labs business from InterDigital. Hillcrest Labs supplies software and components for sensor processing in consumer and IoT devices. Hillcrest Labs' MotionEngine sensor processing software already runs on CEVA DSPs (as well as ARM and RISC-V cores) and enables high accuracy 6-axis and 9-axis sensor fusion, dynamic sensor calibration, and application specific features ... » read more

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