Startup Funding: September 2020


It was a good month for startups, with big rounds in automotive, data centers, and AI. A new startup with big backing is taking aim at energy inefficiency in the data center, and another is looking to make the industrial IoT battery-free. SK Hynix founded a new company to analyze semiconductor manufacturing data, and one of China's EV companies sees a massive cash infusion. This month, we look ... » read more

Power/Performance Bits: Sept. 29


Implantable transmitter Researchers from Purdue University developed a fully implantable, wirelessly powered 2.4GHz radio-frequency transmitter chip for wireless sensor nodes and biomedical devices. The team says the transmitter chip consumes the lowest amount of energy per digital bit published to date, consuming an active-mode power of 70 μW at 10 Mbps while radiating -33 dBm of power, r... » read more

Power/Performance Bits: Sept. 22


Drawing sensors on skin Researchers from the University of Houston and University of Chicago created an ink pen that can draw multifunctional sensors and circuits directly on skin. These "drawn-on-skin electronics" aim to provide more precise health data, free of the artifacts that are associated with wearable devices and flexible electronic patches. Caused when the sensor doesn't move prec... » read more

Custom Designs, Custom Problems


Semiconductor Engineering sat down to discuss power optimization with Oliver King, CTO at Moortec; João Geada, chief technologist at Ansys; Dino Toffolon, senior vice president of engineering at Synopsys; Bryan Bowyer, director of engineering at Mentor, a Siemens Business; Kiran Burli, senior director of marketing for Arm's Physical Design Group; Kam Kittrell, senior product management group d... » read more

Integrity Problems For Edge Devices


Battery-powered edge devices need to save every picojoule of energy they can, which often means running at very low voltages. This can create signal and power integrity issues normally seen at the very latest technology nodes. But because these tend to be lower-volume, lower-cost devices, developers often cannot afford to perform the same level of analysis on these devices. Noise can come in... » read more

Nvidia To Buy Arm For $40B


Nvidia inked a deal with Softbank to buy Arm for $40 billion, combining the No. 1 AI/ML GPU maker with the No. 1 processor IP company. Assuming the deal wins regulatory approval, the combination of these two companies will create a powerhouse in the AI/ML world. Nvidia's GPUs are the go-to platform for training algorithms, while Arm has a broad portfolio of AI/ML processor cores. Arm also ha... » read more

Analog Chip Layout: Creativity Vs. Deadlines


The entire design of integrated circuits, from the specification onward, depends on successful validation by measurement of microchips. One key milestone in this process is the completion of the layout. However, the path to reach this point can be quite difficult as many iterations are usually required. It includes: Iterations with the customer to finalize the specification. Iteratio... » read more

AI & IP In Edge Computing For Faster 5G And The IoT


Edge computing, which is the concept of processing and analyzing data in servers closer to the applications they serve, is growing in popularity and opening new markets for established telecom providers, semiconductor startups, and new software ecosystems. It’s brilliant how technology has come together over the last several decades to enable this new space starting with Big Data and the idea... » read more

PCIe 5.0: A Key Interface Solution For The Evolving Data Center


A great many developments are shaping the evolution of the data center. Enterprise workloads are increasingly shifting to the cloud, whether these be hosted or colocation implementations. The nature of workload traffic is changing such that data centers are architected to manage greater east-west (within the data center) communication. New workloads, with AI/ML (artificial intelligence/machine ... » read more

Accelerating Simulation Of PCIe Controllers For DMA Applications


For memory-intensive and high-performance computing, direct memory access (DMA) is indispensable. A typical DMA operation in PCI Express (PCIe) entails the transfer of data from the system memory to end point devices using a point-to-point PCIe bus to reduce latency and increase memory access throughput between the CPU and the device. Verification of DMA engines is concentrated on the data t... » read more

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