SRAM Scaling Issues, And What Comes Next


The inability of SRAM to scale has challenged power and performance goals forcing the design ecosystem to come up with strategies that range from hardware innovations to re-thinking design layouts. At the same time, despite the age of its initial design and its current scaling limitations, SRAM has become the workhorse memory for AI. SRAM, and its slightly younger cousin DRAM, have always co... » read more

Blog Review: Feb. 14


Siemens’ Dilan Heredia and Karen Chow explain why fast, accurate parasitic extraction (PEX) is essential to design success, especially for the 3 nm node and GAAFETs. Synopsys’ Srinivas Velivala debunks the myth that layout-versus-schematic (LVS) checking is a static step in the chip development process, and details its evolving role in modern SoCs. Cadence’s Mark Seymour digs into a... » read more

Early Architecture Performance And Power Analysis Of Multi-Die Systems


A multi-die system is a semiconductor device in which multiple homogeneous or heterogeneous dies are contained within a single package. Multi-die systems have been available for select uses for years, but they are gaining wider popularity and are expected to be used in a wide variety of end applications, including high-performance computing, automotive, and mobile. There are two main factors dr... » read more

Chip Ecosystem Apprenticeships Help Close The Talent Gap


Competency-based apprenticeship programs are gaining wider acceptance across the chip industry as companies and governments look for new ways to address talent shortages, and as workers look for new skills that can span multiple industry sectors and industries. Funded in part by the CHIPS Act in the U.S. the European Chips Act, and various other nation-specific and regional programs, apprent... » read more

Adaptive Test Ramps For Data Intelligence Era


Widely available and nearly unlimited compute resources, coupled with the availability of sophisticated algorithms, are opening the door to adaptive testing. But the speed at which this testing approach is adopted will continue to vary due to persistent concerns about data sharing and the potential for IP theft and data leakage. Adaptive testing is all about making timely changes to a test p... » read more

Hidden Costs And Tradeoffs In IC Quality


Balancing reliability against cost is becoming more difficult for semiconductor test, as chip complexity increases and devices become more domain-specific. Tests need to be efficient and effective without breaking the bank, while also ensuring chips are of sufficient quality for their specific application. The problem is that every new IC device adds its own set of challenges, from smaller f... » read more

AI-Driven Test Optimization Solves Semiconductor Test Costs And Design Schedules


Artificial Intelligence has become a pervasive technology that is being applied to solve today’s complex problems, especially in the areas involving exponentially large amounts of data, their analysis, and corresponding decision making that are otherwise limited by human abilities. Therefore, complex challenges in semiconductor design, test and manufacturing are a perfect match for AI. The... » read more

Blog Review: Feb. 7


Synopsys' Ian Land, Kenneth Larsen, and Rob Aitken find that a new approach will be required to ensure that higher volume 3D heterogeneous integration (3DHI) designs can function reliably and successfully in aerospace, defense, and government systems. Siemens' John Golding provides a primer on the fundamental concepts related to signal integrity, including key topics such as transmission lin... » read more

Software-Defined Vehicles Ready To Roll


Software-defined vehicles are driving a swell of activity across the automotive ecosystem, including new methodologies and technology approaches that could significantly reduce costs and shorten time to market for advanced features. The SDV approach encompasses more than a single concept. It helps to think of it more as a modeling approach that connects EVs, driver assistance technology, and... » read more

Dealing With Noise In Image Sensors


The expanding use and importance of image sensors in safety-critical applications such as automotive and medical devices has transformed noise from an annoyance into a life-threatening problem that requires a real-time solution. In consumer cameras, noise typically results in grainy images, often associated with poor lighting, the speed at which an image is captured, or a faulty sensor. Typi... » read more

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