3D logic; when to hack a car; market predictions; jittery clocks; Monte Carlo sampling.
Cadence’s Paul McLellan checks out how Imec sees the future of transistors and the challenges of 3D logic.
Synopsys’ Robert Vamosi gets a lesson on the electronic systems powering modern cars, and considers when it’s ethical to hack one.
Mentor’s Colin Walls takes a look at how to pass data between RTOS tasks.
Rambus’ Aharon Etengoff looks at recent semi market predictions, from expanding capital spending to slowing M&A.
Ansys’ Paolo Colombo examines why extremely hot weather leaves airplanes unable to fly.
Coventor’s Sandy Wen notes that as silicon photonics manufacturing gains momentum, it’s important to pay attention to process variation issues.
Silicon Labs’ Kevin Smith investigates he causes of noisy or jittery clocks and the role of jitter attenuators.
Intel’s Ron Wilson considers the difference between a motion and a gesture, and the challenges in making robots move more like humans.
Nvidia’s Ahana Dave points to how astronomers are using AI to learn more about the lifecycles of red giants.
Cadence’s Arthur Schaldenbrand examines advanced concepts in analog design in a new series, beginning with an overview of variation-aware design and Monte Carlo sampling.
And don’t miss the blogs featured in last week’s Low Power-High Performance newsletter:
Editor In Chief Ed Sperling observes that memory and processors are still separate, but that could change as the volume of data increases.
Executive Editor Ann Steffora Mutschler finds it’s an exciting time to be involved in designing computer vision applications.
Cadence’s Vinay Patwardhan zeroes in on ways to optimize for the lowest power in a high-frequency, high-switching design.
Rambus’ Sarvagya Kochak contends that alternatives to traditional DRAM are needed to meet the bandwidth and latency demands of the cloud.
Mentor’s Progyna Khondkar digs into the fundamental parts of UPF constructions.
ARM’s Kinjal Dave examines the unique system design choices needed to integrate functionally asymmetric compute elements.
Synopsys’ Pedro Ricardo Miguel explains how to overcome bandwidth limitations of MIPI DSI with visually lossless compression.
ARM’s Brian Fuller argues that it’s becoming increasingly important to process actionable data at the edge, not in the cloud.
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