category: Low Power-High Performance

category: IoT, Security & Automotive

Research Bits: May 23
By Jesse Allen - 23 May, 2023 - Comments: 0

DNA-based molecular computing Researchers at the University of Minnesota proposed a new method of biocomputing. Trumpet, or Transcriptional RNA Universal Multi-Purpose GatE PlaTform, uses biological enzymes as catalysts for DNA-based molecular computing. Researchers performed logic gate operations in test tubes using DNA molecules. A positive gate connection resulted in a phosphorescent glo... » read more

Achieving Consistent RTL Power Accuracy
By Synopsys - 23 May, 2023 - Comments: 0

Are you struggling to accurately estimate RTL power consumption early in your design process? RTL power estimation can be inaccurate due to the complexity of the designs, the various power domains, and the use of multiple tools in the design process. Designers can make effective power-performance-area tradeoffs early by using a holistic methodology that includes both architectural and micro-arc... » read more

Week In Review: Design, Low Power
By Susan Rambo - 19 May, 2023 - Comments: 0

Design Ansys has signed a definitive agreement to acquire EDA tool company Diakopto. Diakopto specializes in software tools that find the cause of layout parasitics. Its products are ParagonX, for analyzing and debugging IC designs and layout parasitics, and EM/IR analysis/verification tool PrimeX. The deal is expected to close in the second quarter of 2023. SEMI’s FlexTech community issu... » read more

Research Bits: May 16
By Jesse Allen - 16 May, 2023 - Comments: 0

Germanium-tin transistor Scientists at Forschungszentrum Jülich, CEA-Leti, University of Leeds, Leibniz Institute for High Performance Microelectronics, and RWTH Aachen University fabricated a new type of transistor from a germanium-tin alloy. Charge carriers can move faster in the material than in silicon or germanium, which enables lower voltages in operation. “The germanium–tin syst... » read more

GDDR6 Delivers The Performance For AI/ML Inference
By Frank Ferro - 15 May, 2023 - Comments: 0

AI/ML is evolving at a lightning pace. Not a week goes by right now without some new and exciting developments in the field, and applications like ChatGPT have brought generative AI capabilities firmly to the forefront of public attention. AI/ML is really two applications: training and inference. Each relies on memory performance, and each has a unique set of requirements that drive the choi... » read more

Holistic Power Reduction
By Brian Bailey - 11 May, 2023 - Comments: 0

The power consumption of a device is influenced by every stage of the design, development, and implementation process, but identifying opportunities to save power no longer can be just about making hardware more efficient. Tools and methodologies are in place for most of the power-saving opportunities, from RTL down through implementation, and portions of the semiconductor industry already a... » read more

From Known Good Die To Known Good System With UCIe IP
By Manuel Mota - 11 May, 2023 - Comments: 0

Multi-die systems are made up of several specialized functional dies (or chiplets) that are assembled in the same package to create the complete system. Multi-die systems have recently emerged as a solution to overcome the slowing down of Moore’s law by providing a path to scaling functionality in the packaged chip in a way that is manufacturable with good yield. Additionally, multi-die sy... » read more

Making Tradeoffs With AI/ML/DL
By Ann Mutschler - 11 May, 2023 - Comments: 0

Machine learning, deep learning, and AI increasingly are being used in chip design, and they are being used to design chips that are optimized for ML/DL/AI. The challenge is understanding the tradeoffs on both sides, both of which are becoming increasingly complex and intertwined. On the design side, machine learning has been viewed as just another tool in the design team's toolbox. That's s... » read more

Rethinking Engineering Education In The U.S.
By Karen Heyman - 11 May, 2023 - Comments: 8

The CHIPS Act, as well as the ongoing need for talent, is causing both industry and academia in America to rethink engineering education, resulting in new approaches and stronger partnerships. As an example, Arizona State University (ASU) now has a Secure, Trusted, and Assured Microelectronics Center (STAM). The center offers an interdisciplinary approach to learning secure and trusted semic... » read more

Circuit Design For Industry 4.0
By Bjorn Zeugmann - 11 May, 2023 - Comments: 0

By Björn Zeugmann and Olaf Enge-Rosenblatt The digitalization of industry is progressing in leaps and bounds, albeit not at the same speed everywhere. In many industries, processes can be digitalized well to very well — for example, because electronic control systems can be retrofitted from analog to digital relatively easily. In some cases, new industries emerge only because processes ha... » read more

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