With software teams today twice as large as hardware teams for any given complex SoC project, there is no doubt it is an ideal time to agree on the best way for these worlds to intersect. And even ...

Space Codesign Systems has announced support for ARM‐based FPGA design in its SpaceStudio™ 2.2 virtual platform technology. While we have seen similar announcements from Cadence with Xilinx and ...

Designing hardware and software simultaneously is a key factor in reducing time-to-market. Although some vendors are talking about tools to facilitate the task, we still have a long way to go before ...

April 14, 2022 – Today, the OCP Foundation, the nonprofit organization focused on hyperscale, announced a new hardware-software co-design strategy that is exemplified by recent contributions to the ...

Work by Cadence Design Systems and the companies that make up the European Electronic Chips and Systems Design Initiative (ECSI) could lead to a version of the Unified Modelling Language (UML) that ...

Hardware/software partitioning algorithms are fundamental in the design of modern embedded systems, where the allocation of functionalities between hardware accelerators and software components is ...

Engineers have developed a neuroinspired hardware-software co-design approach that could make neural network training more energy-efficient and faster. Their work could one day make it possible to ...

Mechatronics hardware design and architecture represents a confluence of mechanical, electronic, and computational disciplines aimed at creating integrated, reliable and intelligent systems.

A famous electronics company recently launched a new TV and web commercial emphasizing the importance of designing hardware and software together. (You can view the video here.) It is interesting to ...

The concurrent design and verification of hardware and software has become a reality thanks to a plethora of resources in ESL flows, emulation, modeling and standards, and more. There once was a time ...

A team led by the University of California San Diego has developed a neuroinspired hardware-software co-design approach that could make neural network training more energy-efficient and faster. Their ...