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1. DIGITAL CLOCK PCB CIRCUIT PROGRAM ON CAM350 HOW TO
2. DIGITAL CLOCK PCB CIRCUIT PROGRAM ON CAM350 GENERATOR
3. DIGITAL CLOCK PCB CIRCUIT PROGRAM ON CAM350 VERIFICATION

DIGITAL CLOCK PCB CIRCUIT PROGRAM ON CAM350 VERIFICATION

On-premises datacenters cannot provide the distinct unique configurations at scale that cloud-based verification workflows can offer within their huge variety of compute servers, memory, IO, storage, and services choices.

DIGITAL CLOCK PCB CIRCUIT PROGRAM ON CAM350 HOW TO

Real benefits from cloud-based workflows are only available if we apply lessons learned and practiced by FPGA teams who already understand how to exploit complex heterogeneous computing architectures. The focus is thereby on the development and implementation of specific algorithms in FPGA SoC technology.įPGAs and Cloud – Two Sides of the Same CoinĪccording to Forrester Research, more than 60% of today’s cloud-users did not meet goals for both migration- and run-costs on their cloud-based deployment.įor your consideration: the development of High-Performance Computing and Verification Server farm data centers have unintentionally followed the development of FPGA architectures. In this function and as a developer for FPGA SoC designs and embedded software, he is involved in the international development of innovative electronic systems for industry and science.Īs founder of the company SciCaTec he is working as System Architect and FPGA SoC developer in high-performance Signal, Video and Image Processing in the automotive as well as industrial area. His special fields are the digital circuitry and algorithmic in FPGAs, SoCs and GPUs for Signal, Video, Image Processing and Computer Vision applications. Markus Jäger is System Architect for embedded and electronic systems. How this approach can be implemented in ModelSim in an appropriate way and which effort has to be taken into account is shown by a concrete application example from signal processing with SuperSampleRate-IIR filters (digital filters, which process more than one sample per clock cycle).ĭr. To address this difficulty, this talk discusses the use of a previously collected dataset of real input data to avoid a stimulus generator.

This quickly leads to complicated model-based versions with sophisticated random models.

DIGITAL CLOCK PCB CIRCUIT PROGRAM ON CAM350 GENERATOR

This data is fed into the simulation of the design to verify its behavior according to the underlying specification.Ī difficulty in this process, which should not be underestimated, can be the development of a model for a sufficient stimulus generator to achieve an acceptable level of verification. Espen is well known through his tutorials and talks, for example at FPGA Conference Europe in Germany.įunctional FPGA design verification by using real input data as simulation stimulus in ModelSimįor functional verification of FPGA designs, it is preferred to use a generator to produce stimulus input data.

His main focus during the past 20 years has been methodology, efficiency and quality improvement for FPGA and ASIC projects, which resulted in the UVVM verification platform, which is now used worldwide. He has more than 30 years international experience of FPGA and ASIC development and verification, for example through work at Philips Semiconductors (NXP) in Zürich (Switzerland). This functionality is being developed in the current ESA UVVM project and has so far not been mentioned in any previous UVVM presentation.Įspen Tallaksen CEO, Co-founder and Principal FPGA designer at EmLogic, the new and rapidly growing Norwegian Embedded Systems & FPGA Design Centre. This presentation will briefly mention these benefits but will focus on brand new functionality to be released very soon. UVVM is making this much easier through the provided Testbench Infrastructure, the architecture, the BFMs and the VVCs. UVVM – Brand new features from the world’s #1 VHDL Verification MethodologyĪ good verification methodology could significantly reduce FPGA and ASIC development time.