Computational Imaging Craves System-Level Design And Simulation Tools To Leverage Disruptive AI In Embedded Vision


Image quality now relies more than ever on high computing power tied to miniaturized optics and sensors, rather than on standalone and bulky but aberration-free optics. This new trend is called computational imaging and can be used either for computational photography or for computer vision. Read this white paper to learn about market trends and promising system co-design and co-optimization ap... » read more

Celsius EC Solver


The Cadence Celsius EC Solver is electronics cooling simulation software for accurate and fast analysis of the thermal performance of electronic systems. It enables electronic system designers to accurately address the most challenging thermal/electronics cooling issues today. The Celsius EC Solver utilizes a powerful computational engine and meshing technology that enables designers to model a... » read more

Smallest Thinnest Power Modules For Data Center Optical Modules


Data transmission rates in optical communication field are on a constant rise. This paper describes the ever-increasing demand for highly integrated, small form factor, low profile yet thermally superior and electrically efficient power supply solution to support these high data rates and large amount of data transfer. It then follows to highlight Renesas’s best in class mini power mo... » read more

Research Bits: May 23


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

Chip Industry’s Technical Paper Roundup: May 23


New technical papers recently added to Semiconductor Engineering’s library: [table id=104 /] If you have research papers you are trying to promote, we will review them to see if they are a good fit for our global audience. At a minimum, papers need to be well researched and documented, relevant to the semiconductor ecosystem, and free of marketing bias. There is no cost involved for us... » read more

Achieving Consistent RTL Power Accuracy


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

Impact of Semiconductor Optical Amplifers On Performance & Power Consumption in Data Centers (UCSB)


A new technical paper titled "Integrated SOAs enable energy-efficient intra-data center coherent links" was published by researchers at UC Santa Barbara. "In this work, we analyze the impact of integrated semiconductor optical amplifiers (SOAs) on link performance and power consumption, and describe the optimal design spaces for low-cost and energy-efficient coherent links. Placing SOAs afte... » read more

Memory Disaggregation Research And Making It Practical With Hardware Trends (U. of Michigan)


A new technical paper titled "Memory Disaggregation: Advances and Open Challenges" was published by researchers at University of Michigan. Abstract "Compute and memory are tightly coupled within each server in traditional datacenters. Large-scale datacenter operators have identified this coupling as a root cause behind fleet-wide resource underutilization and increasing Total Cost of Owners... » read more

Optimizing Projected PCM for Analog Computing-In-Memory Inferencing (IBM)


A new technical paper titled "Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference" was published by researchers at IBM Research. "A systematic study of the electrical properties-including resistance values, memory window, resistance drift, read noise, and their impact on the accuracy of large neural networks of various types and with tens of millions of wei... » read more

The Impact Of ML On Chip Design


Node scaling and rising complexity are increasing the time it takes to get chips out the door. At the same time, design teams are not getting larger. What is needed is a way to automate the creative process, and to not have to start every design from scratch. This is where reinforcement learning fits in, with its ability to centralize and store “tribal knowledge. Thomas Andersen, vice preside... » read more

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