Speeding Up FPGA Development


Salaheddin Hetalani, field application engineer at OneSpin Solutions, talks about why it’s getting harder to design and debug FPGAs, how much design time can be saved through formal techniques, and why just relying on programmability isn’t the most efficient approach. » read more

PowerPR Virtualization: A Critical Feature For Automotive GPUs


What is GPU virtualization? Conceptually, virtualization is the capability of a device to host one or more virtual machines (VMs) that each behave like actual independent machines with their own operating system (OS), all running on the same underlying device hardware. In regard to GPUs, this means the capability to support multiple concurrently running operating systems, each capable of submit... » read more

What’s In Your IP?


Jeff Markham, software architect at ClioSoft, talks with Semiconductor Engineering about IP traceability in markets such as automotive and aerospace, what’s actually in IP, what should not be in that IP from a security standpoint, and how all of this data can used to avert system reliability issues in the future. » read more

Using New Technologies On Smaller Wafers


The industry is no longer held captive by sales from computing applications, such as personal computers, servers or even cellular phones and tablets. A diverse range of markets are contributing to growth seen by Lam and our customers. Cloud storage, machine learning or artificial intelligence (AI), virtual reality (VR) and augmented reality (AR), robotics, medical and automotive, including the ... » read more

Understanding SLAM (Simultaneous Localization And Mapping)


Amol Borkar, senior product manager for AI and computer vision at Cadence, talks with Semiconductor Engineering about mapping and tracking the movement of an object in a scene, how to identify key corners in a frame, how probabilities of accuracy fit into the picture, how noise can affect that, and how to improve the performance and reduce power in these systems. » read more

Automotive Chip Design Workflow


Stewart Williams, senior technical marketing manager at Synopsys, talks about the consolidation of chips in a vehicle and the impact of 7/5nm on automotive SoC design, how to trade off power, performance, area and reliability, and how ISO 26262 impacts those variables. » read more

Reliability In Automotive Chips


Roland Jancke, head of department for design methodology at Fraunhofer IIS’ Engineering of Adaptive Systems Division, looks at how to ensure that chips used in cars are reliable over extended periods of use, how mission profiles vary depending upon where they are used, and why it’s important to understand what chips developed at the latest nodes can really be used for and how they will be ... » read more

Week In Review: Auto, Security, Pervasive Computing


AI/Edge Arm putting AI (artificial intelligence) and machine learning (ML) on the Cortex-M processor by offering IP for a microNPU for Cortex-M. The company says in a press release that it will deliver a 480x uplift in ML performance. The new Cortex-M IP is Arm Ethos-U55 NPU, which Arm says is the industry’s first microNPU (neural processing unit). Arm is hoping the new IP will start an expl... » read more

Changes In AI SoCs


Kurt Shuler, vice president of marketing at ArterisIP, talks about the tradeoffs in AI SoCs, which range from power and performance to flexibility, depending on whether processing elements are highly specific or more general, and the need for more modeling of both hardware and software together. » read more

Extreme Quality Semiconductor Manufacturing


By Ben Tsai and Cathy Perry Sullivan Across the full range of semiconductor device types and design nodes, there is a drive to produce chips with significantly higher quality. Automotive, IoT and other industrial applications require chips that achieve very high reliability over a long period of time, and some of these chips must maintain reliable performance while operating in an environmen... » read more

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