tag: cloud

Engineering Simulation Workloads And The Rise of the Cloud
By Ansys - 10 May, 2023 - Comments: 0

Cloud service providers (CSPs) continue to improve the performance capabilities of their non-accelerated and accelerated compute instances, as well as augment their HPC infrastructure with domain-area expertise of targeted HPC workloads. Additionally, engineers, researchers, and scientists are becoming more comfortable with the types of workloads that can be run in the cloud within acceptable w... » read more

100G Ethernet At The Edge
By Ed Sperling - 19 Apr, 2023 - Comments: 0

The amount of data is growing, and so is the need to process it closer to the source. The edge is a middle ground between the cloud and the end point, close enough to where data is generated to reduce the time it takes to process that data, yet still powerful enough to analyze that data quickly and send it wherever it is needed. But to make this all work requires faster conduits for that data i... » read more

System-on-Chip Design In The Cloud: One Size Does Not Fit All
By Nebabie Kebebew - 23 Mar, 2023 - Comments: 0

At an increasing pace, companies in the semiconductor ecosystem have started seriously considering the cloud for computing and storage. Some have migrated, and others are evaluating the cloud technology choices and are sizing the business impact and benefits to make the leap. Through key adoption reports, the cloud environment is proving to be beneficial for System-on-Chip (SoC) designers by pr... » read more

Industrial Solutions For Machine-Learning-Enabled Yield Optimization And Test
By Sonny Banwari - 10 Jan, 2023 - Comments: 0

This article summarizes the content of a paper developed and presented by Advantest at ETS 2022. By Sonny Banwari and Matthias Sauer According to market research firm Gartner, Inc., in assessing the completion rate of data science projects, as well as the bottom-line value they generate for their companies, only between 15 and 20 percent of these projects are ever completed. Moreover, of ... » read more

Choosing The Right Memory At The Edge
By Ed Sperling - 09 Jan, 2023 - Comments: 0

As the amount of data produced by sensors in cars and phones continues to grow, more of that data needs to be processed locally. It takes too much time and power to send it all to the cloud. But choosing the right memory for a particular application requires a series of tradeoffs involving cost, bandwidth, power, which can vary greatly by device, application, and even the data itself. Frank Fer... » read more

12 Ways To Elevate Electronic Design Process Using PADS eBook
By Siemens EDA - 07 Dec, 2022 - Comments: 0

When using PADS Professional Premium, designers have access to standard PCB design functionality, such as schematic definition and physical layout, as well previously optional add-on features (now standard) and all of the latest cloud apps, including: Schematic definition: Access to everything you need: Circuit design and simulation, Component selection, library management, and signal integr... » read more

Considering The Power Of The Cloud For EDA
By Michael White - 27 Oct, 2022 - Comments: 0

By Michael White, Siemens EDA, in technical collaboration with Peeyush Tugnawat, Google Cloud, and Philip Steinke, AMD At DAC 2022, Google Cloud, AMD, and Calibre Design Solutions presented an EDA in the cloud solution that enables companies to access virtually unlimited compute resources when and as needed to optimize their design and verification flows. If your company is considering addin... » read more

Strengthening The Global Semi Supply Chain
By Ann Mutschler - 22 Sep, 2022 - Comments: 0

Within the semiconductor ecosystem, there are a number of dynamics pointing to the need for new ways of partnering in more meaningful ways that bring resiliency to the global semiconductor supply chain. One of these is the move to bespoke silicon, stemming from a shift in the companies that create most SoCs today -- the hyperscalar cloud providers. These market leaders know their workloads so w... » read more

AI Power Consumption Exploding
By Brian Bailey - 15 Aug, 2022 - Comments: 2

Machine learning is on track to consume all the energy being supplied, a model that is costly, inefficient, and unsustainable. To a large extent, this is because the field is new, exciting, and rapidly growing. It is being designed to break new ground in terms of accuracy or capability. Today, that means bigger models and larger training sets, which require exponential increases in processin... » read more

Cloud-Ready Circuit Simulation Accelerates SoC Verification
By Nebabie Kebebew - 15 Aug, 2022 - Comments: 0

By Nebabie Kebebew and Nigel Bleasdale Driven by the explosion of big data and expanding applications, chip design complexity is increasing. Applications such as high-performance computing (HPC), the Internet of Things (IoT), automotive, and 5G mobile and communications coupled with advanced process technology nodes require running a large number of circuit simulations to ensure the circuits... » read more

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