The Impact Of ML On Chip Design


Node scaling and rising complexity are increasing the time it takes to get chips out the door. At the same time, design teams are not getting larger. What is needed is a way to automate the creative process, and to not have to start every design from scratch. This is where reinforcement learning fits in, with its ability to centralize and store “tribal knowledge. Thomas Andersen, vice preside... » read more

Chips Getting More Secure, But Not Quickly Enough


Experts at the Table: Semiconductor Engineering sat down to talk about the impact of heterogeneous integration, more advanced RISC-V designs, and a growing awareness of security threats, with Mike Borza, Synopsys scientist; John Hallman, product manager for trust and security at Siemens EDA; Pete Hardee, group director for product management at Cadence; Paul Karazuba, vice president of marketin... » read more

Reflections On Photomask Japan 2023: Embracing The Era Of Curvilinear Masks


In April, 2023, I had the privilege of participating in Photomask Japan 2023 (PMJ2023), a web conference that brought together experts and enthusiasts in the field. The conference commenced with an enlightening keynote talk by Dr. Kurt Ronse of imec on the status and challenges of the high NA EUV ecosystem, presenting roadmaps for the introduction of high NA EUV. I would like to express my grat... » read more

Blog Review: May 17


Synopsys' Dana Neustadter examines the key industries driving Ethernet security, challenges to securing Ethernet networks, and the MACsec protocol that guards against network data breaches by encrypting data traffic between Ethernet-connected devices. Siemens' Stephen Chavez points to the improvements gained from design reuse in PCB design but warns that inefficient processes for managing an... » read more

Machine Vision Plus AI/ML Adds Vast New Opportunities


Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to "see" far more than just pixel data from sensors, and opening up new opportunities across a wide swath of applications. In recent years, startups have been able to raise billions of dollars as new MV ideas come to light in markets ranging from transportation and manufacturing to heal... » read more

Week In Review: Semiconductor Manufacturing, Test


Global semiconductor sales reached $574 billion in 2022, and U.S. semiconductor companies accounted for sales totaling $275 billion, or 48% of the global market, according to the 2023 Factbook released by the Semiconductor Industry Association (SIA). DRAM and NAND prices likely will continue to fall further this quarter because production cuts have not kept pace with weakening demand, accord... » read more

Week In Review: Design, Low Power


Synopsys acquired Silicon Frontline Technology, a provider of an electrical layout verification solution for mixed-signal and analog designs, large-scale power semiconductor devices, and electrostatic discharge protection networks. "This acquisition enables Synopsys to extend the capabilities of our design analysis portfolio and help build out a system-level electrical analysis platform. We als... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility Qualcomm signed a definitive agreement to acquire fabless semiconductor company Autotalks, maker of automotive-qualified vehicle-to-everything (V2X) SoCs, processors, sensors, V2X RF transceivers, and other products for use in automatic braking and cooperative perception systems (where a vehicle can see what another vehicle is seeing). Autotalks’ V2X products are dual-m... » read more

From Known Good Die To Known Good System With UCIe IP


Multi-die systems are made up of several specialized functional dies (or chiplets) that are assembled in the same package to create the complete system. Multi-die systems have recently emerged as a solution to overcome the slowing down of Moore’s law by providing a path to scaling functionality in the packaged chip in a way that is manufacturable with good yield. Additionally, multi-die sy... » read more

Making Tradeoffs With AI/ML/DL


Machine learning, deep learning, and AI increasingly are being used in chip design, and they are being used to design chips that are optimized for ML/DL/AI. The challenge is understanding the tradeoffs on both sides, both of which are becoming increasingly complex and intertwined. On the design side, machine learning has been viewed as just another tool in the design team's toolbox. That's s... » read more

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