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Average Ratings 0 Ratings
Description
Utilizing sophisticated analytics and machine learning techniques is essential for minimizing operational expenses and mitigating risks. A fundamental component of the digital transformation landscape, digital twins provide precise virtual representations of tangible assets, systems, and objects to enhance productivity, optimize processes, and drive profitability. Typically, a digital twin is regarded as a software model of a physical asset or system that is tailored to identify, avert, predict, and refine processes through real-time analytics, ultimately delivering significant business advantages. At GE Digital, our emphasis lies in leveraging digital twin software to assist our clients in three primary domains: Asset, Network, and Process. By effectively monitoring, simulating, and managing an asset, process, or network, organizations can significantly elevate system performance. Furthermore, it is crucial to ensure the well-being and safety of employees and the environment while achieving business goals by minimizing incidents related to assets and processes, as well as preventing unintended downtimes, thereby fostering a more resilient operational framework. The integration of digital twin technology not only enhances efficiency but also paves the way for innovation across various sectors.
Description
Questa Verification stands out as the pioneering platform that integrates a UVM-aware debug solution, equipping engineers with critical insights into the functionality of their dynamic class-based testbenches, all within the familiar environments of source code and waveform analysis. This verification suite encompasses a comprehensive collection of technologies, methodologies, and libraries tailored for contemporary ASIC and FPGA designs. As the complexity of System-on-Chip (SoC) designs escalates, Questa continuously adapts and enhances its offerings. The platform provides valuable insights and updates on key concepts, values, standards, and methodologies, along with practical examples that help users grasp the capabilities of advanced functional verification technologies and their optimal application. Additionally, the Verification Horizons publication serves as a vital resource, presenting crucial concepts, values, methodologies, and illustrative examples to deepen understanding and facilitate effective use of these cutting-edge verification tools. Through this ongoing commitment to innovation and education, engineers are better equipped to navigate the challenges of modern design verification.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GE Digital
Founded
2015
Country
United States
Website
www.ge.com/digital/applications/digital-twin
Vendor Details
Company Name
Siemens
Founded
1947
Country
United States
Website
eda.sw.siemens.com/en-US/ic/questa/simulation/
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling