Fast IP Software Development & Integration with Virtual & FPGA-Based Prototyping
Designers and software developers need techniques to accelerate end-to-end validation of complex interface IP and its software. The use of the latest ARM® processors and new software stacks increases their challenges and pressure. Designers can use the right combination of virtual and physical prototypes to speed critical software development and IP prototyping processes.
Prototyping kits that combine virtual and FPGA-based solutions for interface IP development, called “hybrid IP prototyping kits,” offer ready-to-use software development and IP prototyping environments in the context of software stacks for ARM Cortex® processors. By integrating an ARMv8-based virtual prototype, an FPGA-based prototype, pre-verified IP, and PHY daughter boards, hybrid IP prototyping kits can be essential for accelerating time-to-market.
This webinar will describe the use cases addressed by hybrid IP prototyping kits. Specifically, attendees will learn about the system-wide hardware and software debugging capabilities available in Synopsys’ DesignWare® Hybrid IP Prototyping Kits through the debug of a USB 3.0 host driver inside a Linaro® Linux® software stack.
After the webinar, attendees will understand:
- How the combination of virtual and FPGA-based prototyping systems with pre-verified IP enables software developers to develop and validate ARMv8-based IP drivers before silicon availability
- How VP Explorer minimizes software development time
- How DesignWare Hybrid IP Prototyping Kits help you start implementing and validating IP in context of the target CPU architecture
- Firmware developers
- Linux driver developers
- Software & hardware development management
Staff Customer Application Engineer, Synopsys
Charu Khosla brings more than a decade of software engineering experience to her role at Synopsys. Prior to Synopsys, Ms. Khosla developed ESL methodologies and technical solutions to customers at CoWare, Cadence and Novell. Ms. Khosla earned her engineering degree at the National Institute of Technology at Kurukshetra and her Masters of Computer and Information Science at the University of Minnesota – Twin Cities.