Automotive Test Moves In-System


With the electrification of automobiles, it’s not enough to test the new electronics thoroughly at the end of the manufacturing process. Safety standards now require that tests be performed live, in the field, with contingency plans should a test fail. “We see clear demand from the automotive semiconductor supply chain for design functionality specifically aimed at in-system monitoring,�... » read more

Why Improving Auto Chip Reliability Is So Hard


Tools and ecosystems that focus on reliability and the long-term health of chips are starting to coalesce for the automotive electronics industry. Data gleaned from a chip’s lifecycle — design, verification, test, manufacturing, and in-field operation — will become key to achieving the longevity, reliability, functional safety, and security of newer generations of automobiles. Having s... » read more

Data Issues Mount In Chip Manufacturing


For yield management systems the old calculation adage, "garbage in/garbage out" still rings true. Aligning and cleaning data remains a dirty business. With the increased value in data in the semiconductor supply chain, there now are essentially two supply chains running in parallel. One involves the physical product being created, while the other includes the data associated with each proce... » read more

A View Across The Siliconscape


What would it look like if you had the magical ability to look inside a chip and cast your eyes across the tumultuous activities within the silicon itself? If you could gaze into the die and see the real-time peaks and troughs of voltage supply, stressed areas with high activity and heat and areas of calm where uneven workloads create idle processor cores. A vision of the chip landscape, seasca... » read more

Accelerating SoC Verification Closure With Unified Verification Management Solution


Functional verification of system-on-chip (SoC) designs requires best-in-class tools linked together in a unified solution in order to address exponential complexity challenges. There is no one-size-fits-all method for verification. Complex designs require a combination of virtual prototyping, static checks, formal analysis, simulation, emulation and FPGA prototyping. The execution of all the t... » read more

Week In Review: Design, Low Power


Tools & IP Synopsys is joining Microsoft in the U.S. Department of Defense's Rapid Assured Microelectronics Prototypes (RAMP) program to support the development of IC hardware and workflow prototypes that incorporate Synopsys' assured design and manufacturing flows into Microsoft Azure. The RAMP program aims to bring commercial capabilities and speed to the development of semiconductors fo... » read more

Week In Review: Auto, Security, Pervasive Computing


Security Microsoft and Synopsys are working together on a secure cloud-based chip development environment for United States Department of Defense’s Rapid Assured Microelectronics Prototypes (RAMP) program. “Through this integration on the RAMP program, Synopsys' trusted design, verification and silicon IP solutions will be available in Microsoft Azure," said Mujtaba Hamid, head of Silicon ... » read more

Longer Chip Lifecycles Increase Security Threat


The longer chips and electronic systems remain in use, the more they will need to be refreshed with software and firmware updates. That creates a whole new level of security risks, ranging from over-the-air intercepts to compromised supply chains. These problems have been escalating as more devices are connected to the Internet and to each other, but it's particularly worrisome when it invol... » read more

Bridging The Gap Between Smart Cities And Autonomous Vehicles


Smart city planners and carmakers are wrestling with similar problems and goals, but they are working at very different paces and often with different technologies — despite the fact that these two worlds will need to be bridged in order to be useful. Moving traffic optimally in urban areas is critical for reducing energy consumption and accidents, and for moving emergency vehicles through... » read more

Addressing Power Challenges In AI Hardware


Artificial intelligence (AI) accelerators are essential for tackling AI workloads like neural networks. These high-performance parallel computation machines provide the processing efficiency that such high data volumes demand. With AI playing increasingly larger roles in our lives—from consumer devices like smart speakers to industrial applications like automated factories—it’s paramount ... » read more

← Older posts Newer posts →