category: Whitepapers

category: IoT, Security & Automotive

Data Retention Performance Of 0.13-μm F-RAM Memory
By Infineon - 06 Apr, 2022 - Comments: 0

F-RAM (Ferroelectric random access memory) is a non-volatile memory that uses a ferroelectric capacitor for storing data. It offers higher write speeds over flash/EEPROM. This white paper provides a brief overview of data retention performance of F-RAM memory. Click here to read more. » read more

Weather Research And Forecasting On Amazon EC2 Hpc6a Instances Featuring AMD EPYC 7003 Series Processors
By AMD - 06 Apr, 2022 - Comments: 0

The Weather Research and Forecasting Model is a popular mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility. Click here to read more. » read more

Siemens EDA’s Full-Flow Portfolio Helps Engineers Achieve Optimum IC Design Verification Efficiency
By Siemens EDA - 24 Mar, 2022 - Comments: 0

A quick overview of the front-end flow using the S-Edit schematic capture environment will be covered in this white paper, followed by a more detailed description and steps for using the Analog FastSPICE (AFS) platform simulator to go through the verification of a basic amplifier design. Greater efficiency in analog design verification can now be achieved using our enhanced inter-tool commun... » read more

Using Periodic Calibration Of Antennas to Ensure the Ongoing Performance Of OTA Systems
By Keysight - 23 Mar, 2022 - Comments: 0

Seen or unseen, antennas are essential to virtually every aspect of our connected world. In any over-the-air application—communication, navigation, radar, and so on—signal quality is heavily dependent on the performance of the transmitting and receiving antennas. In addition, when testing any of today’s electronic devices for electromagnetic interference (EMI) and electromagnetic compatib... » read more

Functional Safety In Industrial Automation
By Renesas - 23 Mar, 2022 - Comments: 0

As technology advances and continues to improve, functional safety demands critical consideration across most industrial automation equipment and is now starting to become increasingly important in numerous other applications including service robotics, medical, and building automation in order to prevent adverse effects due to equipment failure in addition to preventing accidents. Set manufact... » read more

Optimize Designs And Mitigate Thermal Threats In High-Current Automotive Applications
By Cadence - 23 Mar, 2022 - Comments: 0

By Melika Roshandell, Cadence Design overview Current density increases at the PCB/package level result in local temperature increases known as hotspots. In addition to highlighting the heat generated locally around and underneath certain components at the PCB or IC package level due to component power consumption, the Celsius Thermal Solver can calculate the heat generated by the Joule ef... » read more

System Innovation For Aerospace, Defense And Government
By Synopsys - 23 Mar, 2022 - Comments: 0

Tools for developer and user challenges Performance in a small package — low size, weight and power (SWaP) Long-life and upgradability with high-reliability, security, and safety Reliability in a range of operating environments, from ground to space End-to-end support: from the IoT network edge to the datacenter Process massively parallel sensor data with low latency S... » read more

Embedded AI On L-Series Cores
By Codasip - 23 Mar, 2022 - Comments: 0

Over the last few years there has been an important shift from cloud-level to device-level AI processing. The ability to run AI/ML tasks becomes a must-have when selecting an SoC or MCU for IoT and IIoT applications. Embedded devices are typically resource-constrained, making it difficult to run AI algorithms on embedded platforms. This paper looks at what could make it easier from a softwar... » read more

Survey: 2022 Deep Learning Applications
By eBeam Initiative - 16 Mar, 2022 - Comments: 0

The 2022 member list of deep learning projects and products that eBeam members are working on in photomask to wafer semiconductor manufacturing. Participating companies include Advantest, ASML, Canon, CEA-LETI, D2S, Fraunhofer IPMS, Hitachi High-Tech Corporation, imec, NuFlare Technology, Siemens Industries Software, Inc.; Siemens EDA, STMicroelectronics, and TASMIT. Click here to see the su... » read more

Comparing Formal And Simulation Code Coverage
By Siemens EDA - 09 Mar, 2022 - Comments: 0

There is a difference in semantics between code coverage generated from a simulator engine and code coverage generated from a formal engine. This paper seeks to raise the awareness of verification engineers on how best to make use of the code coverage data generated by different verification engines. The paper lays out the reasons for using code coverage and describes how simulation code covera... » read more

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