Designing Chips For Test Data


Collecting data to determine the health of a chip throughout its lifecycle is becoming necessary as chips are used in more critical applications, but being able to access that data isn't always so simple. It requires moving signals through a complex, sometimes unpredictable, and often hostile environment, which is a daunting challenge under the best of conditions. There is a growing sense of... » read more

Harness System-Level Data To Optimize Many-Core AI And ML Chips


The novel multicore architectures of SoCs for machine learning (ML) and artificial intelligence (AI) applications are expected to deliver huge improvements in power efficiency. However, chip development teams and the customers for their devices face the growing complexity of hardware-software co-optimization, validation, and debug. In short, these SoCs are increasingly difficult to validate and... » read more

Better Optimization For Many-Core AI Chips


The rise of massively parallel computing has led to an explosion of silicon complexity, driven by the need to process data for artificial intelligence (AI) and machine learning (ML) applications. This complexity is seen in designs like the Cerebras Wafer Scale Engine (figure 1), a tiled manycore, multiple wafer die with a transistor count into the trillions and nearly a million compute cores. ... » read more

Who Owns In-Chip Monitoring Data?


In-chip monitors provide unprecedented visibility into the inner workings of complex integrated circuits for everything from process control to fine binning, preventive system maintenance, and failure analysis. But there may be many consumers of different slices of the data at very different phases of the chip lifecycle, raising questions about who controls and owns all of that data. The ans... » read more

Building A More Secure SoC


SoC integrators know that a software-only chip security plan leaves devices open to attack. All that a hacker needs to do is find a way to replace key parts of the bootloader or the low-level firmware to compromise other software in the system used to support secure access. The most simple attacks come remotely over a network, and these can be patched with software upgrades. However, we see ... » read more

The Evolving Landscape Of SoC Vulnerabilities And Analog Threats


SoC integrators know that a software-only chip security plan leaves devices open to attack. The more effective way to thwart hackers is to combat both digital and analog threats by incorporating security-focused hardware modules built into the core machine design. This paper describes sources of vulnerabilities to cyber attacks and what infrastructure is needed to secure against them. The So... » read more

Blog Review: Aug. 4


Cadence's Paul McLellan listens in as industry luminaries celebrate 50 years of the microprocessor with a discussion on major challenges to the growth of microprocessors, inflection points over the last 50 years, and predictions for the next 25. Siemens EDA's Vladimir Kirichenko warns that designing electrical and thermal systems separately may lead to various problems such as late design ch... » read more

Designing Chips In A ‘Lawless’ Industry


The guideposts for designing chips are disappearing or becoming less relevant. While engineers today have many more options for customizing a design, they have little direction about what works best for specific applications or what the return on investment will be for those efforts. For chip architects, this is proving to be an embarrassment of riches. However, that design freedom comes wit... » read more

Robust Variation-Aware Smart Power Designs For Silicon Success


Power management ICs (PMICs) is a rapidly growing segment in the semiconductor industry. The growth has been fueled by the demand for Smart Power applications that include wearable electronics, mobile computing platforms, printers, hard disk drives (HDD), IoT devices, and the full array of automotive applications. According to a report from market research firm Coherent Market Insights, the gl... » read more

Challenges For New AI Processor Architectures


Investment money is flooding into the development of new AI processors for the data center, but the problems here are unique, the results are unpredictable, and the competition has deep pockets and very sticky products. The biggest issue may be insufficient data about the end market. When designing a new AI processor, every design team has to answer one fundamental question — how much flex... » read more

← Older posts Newer posts →