Programming Processors In Heterogeneous Architectures


Programming processors is becoming more complicated as more and different types of processing elements are included in the same architecture. While systems architects may revel in the number of options available for improving power, performance, and area, the challenge of programming functionality and making it all work together is turning out to be a major challenge. It involves multiple pr... » read more

Power/Performance Costs Of Securing Systems


For much of the chip industry, concerns about security are relatively new, but the requirement for protecting semiconductor devices is becoming pervasive. Unfortunately for many industries, that lesson has been learned the hard way. Security breaches have led to the loss of sensitive data, ransomware attacks that lock up data, theft of intellectual property or financial resources, and loss o... » read more

EDA’s Role Grows For Preventing And Identifying Failures


The front end of design is becoming more tightly integrated with the back end of manufacturing, driven by the rising cost and impact of failures in advanced chips and critical applications. Ironically, the starting point for this shift is failure analysis (FA), which typically happens when a device fails to yield, or worse, when it is returned due to some problem. In production, that leads t... » read more

Startup Funding: May 2023


Photonic interconnects were an area of activity in May, with two companies raising funds for what could be much faster chip-to-chip and chiplet-to-chiplet links. Microstructured optics and metasurfaces also drew investment, with four companies creating products for a range of applications from flexible LEDs to multi-wavelength spectral imaging. The large language models that power many gener... » read more

From Lab To Fab: Increasing Pressure To Fuse IC Processes


Test, metrology, and inspection are essential for both the lab and the fab, but fusing them together so that data created in one is easily transferred to the other is a massive challenge. The chip industry has been striving to bridge these separate worlds for years, but the economics, speed, and complexity of change require a new approach. The never-ending push toward smaller, better-defined... » read more

Journey From Cell-Aware To Device-Aware Testing Begins


Early results of using device-aware testing on alternative memories show expanded test coverage, but this is just the start. Once the semiconductor industry realized that it was suffering from device failures even when test programs achieved 100% fault coverage, it went about addressing this disconnect between the way defects manifest themselves inside devices and the commonly used fault mod... » read more

Ramping Up Power Electronics For EVs


The rapid acceleration of the power devices used in electric vehicles (EVs) is challenging chipmakers to adequately screen the ICs that power these vehicles.[1] While progress toward autonomous driving is grabbing the public’s attention, the electrification of transportation systems is progressing quietly. For the automotive industry, this shift involves a mix of electronic components. Amo... » read more

Developing An Unbreakable Cybersecurity System


Cyberattacks are increasing in frequency and sophistication, and the impact of those attacks is increasing almost exponentially as the amount and value of data continues to grow. Cybersecurity Ventures projected the annual cost of cybercrime will grow from $8 trillion in 2023 to $210.5 trillion by 2025, with no end in sight. On the target list are a slew of industrial and commercial segments... » read more

Security Becomes Much Bigger Issue For AI/ML Chips, Tools


Security is becoming a bigger issue in AI and machine learning chips, in part because the chip industry is racing just to get new devices working, and in part because it's difficult to secure a new technology that is expected to adapt over time. And unlike in the past, when tools and methodologies were relatively fixed, nearly everything is in motion. Algorithms are being changed, EDA tools ... » read more

How Many Sensors For Autonomous Driving?


With the cost of sensors ranging from $15 to $1,000, carmakers are beginning to question how many sensors are needed for vehicles to be fully autonomous at least part of the time. Those sensors are used to collect data about the surrounding environment, and they include image, lidar, radar, ultrasonic, and thermal sensors. One type of sensor is not sufficient, because each has its limitation... » read more

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