Accelerate at scale using product design technology
In an industry where a large engineering effort is required to produce a relatively small volume, time-to-market is a key design driver. Can you keep up with customized requests while still delivering equipment on time?
Download this new ebook to learn how to accelerate at scale using product design technology that helps you master complexity in today’s unique heavy equipment market.
Reduce cost and time-to-market
This increased complexity, regulatory compliance requirements, and growing demand for customization and localized design variants can slow down a project. Now is the time to counteract by deploying tools and processes that help you reduce cost and time-to-market - two critical factors that affect the bottom line. A single collaborative environment including simulation and verification management can reduce cost and time-to-market for any type of design.
Multi-disciplinary design enables cross-team collaboration
Most innovations that are added today require strong interaction between mechanics, electronics, and software. For equipment design, that means more parameters, more physics, and more stakeholders in the design process. A multi-disciplinary design approach that enables cross-team collaboration can drive efficiencies by avoiding endless design iterations.
Continuous verification
Improved reliability and reduced risk can also be achieved by running continuous verification and validation. A design process is needed that drives commonality and reuse to enable virtual verification and validation of different design variants.
Download the latest ebook to discover more about how you can accelerate your equipment design despite more variants and growing complexity.
Related resources
Infineon: HLS Formal Verification Flow Using Siemens Formal Verification
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Infineon & Coseda: Facelifting a SystemC System Level Model Towards Physical Prototype – Adoption of High-Level-Synthesis
Infineon & Coseda present on the adoption of High-Level-Synthesis at an existing SystemC system level model.
CEA: Bridging the Gap Between Neural Network Exploration and Hardware Implementation
CEA presents a methodology that bridges the open-source DL framework N2D2 and Catapult HLS to help reducing the design process of hardware accelerators, making it possible to keep pace with new AI algorithms.
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Alibaba: Innovating Agile Hardware Development with Catapult HLS
At the IP level, an ISP was created within a year using Catapult, a task impossible using traditional RTL. To reduce dependency on designer experience, Alibaba introduced an AI-assisted DSE tool.