Author's Latest Posts


Outsmarting Silent Data Corruption In AI Processors With Two-Stage Detection


Silent data corruption is on the rise following advancements in semiconductor technology. The explosion in AI for speech, image, video, and text processing leads to a growing complexity and diversity of hardware systems, bringing an increased risk to data integrity. SDC rate is much higher than software engineers expect, undermining the hardware reliability they used to take for granted. Rec... » read more

Redefining RAS in Datacenters with Real-Time Health Monitoring


Abstract Hyperscale datacenters require intense computational power for compute-intensive tasks, such as AI, data analytics, machine learning, and big data processing. They leverage parallel processing across multiple computers, in high-density servers, to handle complex tasks efficiently. This uses specialized, powerful processors and training and inference of specific GPUs or ASICs. Such c... » read more

Real-Time Safety Monitoring for Predictive and Prescriptive Maintenance in Advanced Automotive Electronics


Software Defined, Electric, and Autonomous vehicles are driving new roadmaps for advanced electronics. Centralized architectures have introduced cutting-edge ECUs and SOCs. Coupled with stringent standardization, automotive manufacturers and OEMs are tasked with achieving functional safety in an ever-developing landscape. Maintaining safety standards without compromising performance and cos... » read more

Datacenter Chipmaker Achieves Double-Digit Power Reduction with Next-Gen Voltage Scaling


The Customer A fabless chipmaker making 5nm networking chips for datacenters. The Challenge High power consumption due to excessive voltage guard-bands What You'll Discover: Learn how the customer safely decreased the voltage from 650 mV to an average of 608 mV, resulting in a 12.5% dynamic power reduction. This significant optimization helped the chipmaker stand out as a low-pow... » read more

Application-Specific Power Performance Optimizer Based On Chip Telemetry


As datacenter power consumption continues to pose cooling and cost challenges, and battery driven devices are expected to last longer between charges, the search for advanced power management mechanisms continues. A modern design must balance between maximizing performance, consuming the least amount of power, and guaranteeing no failures in field. The latter requires safety margins which tr... » read more

From Data To Safety On-The-Road Hardware Health Monitoring


The automotive industry is currently experiencing a transformation driven by electrification, connectivity, and autonomous driving. Vehicles require extensive computational capabilities and generate massive amounts of data. Future cars will embrace new architectures, becoming software-defined "computers on wheels" capable of hosting advanced applications, machine learning algorithms, and contin... » read more

Using In-Chip Monitoring And Deep Data Analytics For High Bandwidth Memory (HBM) Reliability And Safety


Since its introduction in 2014, High Bandwidth Memory (HBM) has been poised to address the growing demand for high-performance, high capacity, and low latency memories required by High-Performance Computing (HPC), high-performance graphic processors (GPU), and artificial intelligence (AI). Since then, bandwidth and capacity requirements have increased with each new generation: HBM2, HBM2e and n... » read more

Using Deep Data Analytics To Enhance Reliability Testing The Fast Roadmap for Zero Defects


proteanTecs and ELES have partnered together to enhance reliability testing with deep data analytics. This collaboration enables SoC manufacturers to improve their qualification envelope to achieve lifetime reliability, shorten their root cause analysis time, and reduce operational costs. This innovative approach adds parametric measurements during the stress test in order to accurately and pre... » read more

proteanTecs On-Chip Monitoring And Deep Data Analytics System


High reliability applications in service-critical markets, such as autonomous driving and cloud computing, demand maximum performance and minimal power and cost. Reducing design margins while maintaining high reliability becomes imperative. State-of-the-art silicon processes offer mainly logic density improvements at limited speedup. Worst-case design analysis is not cost effective anymore. ... » read more

Predictive And Prescriptive Maintenance In The Context Of Automotive Functional Safety


The ever-changing landscape of advanced SOCs reshape traditional approaches of automotive functional safety (FuSa). Electrification (EV), connectivity, driver-assistance (ADAS), and software-defined vehicles (SDV) have ushered in the era of mega-functionality and scale. This paper discusses the paradigm shifts and required methodologies to navigate the surge of innovation and ensure the utmost ... » read more

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