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 ...

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 ...

Leo managed to sit down with Rajshree Chabukswar, Intel Fellow at Intel Client Computing Group - She works on hardware/software co-design and helps develop technologies such as Thread Director. She ...

On the post-quantum side, Cryptolib now includes hardware-accelerated implementations of three families of NIST-standardized PQC algorithms: ML-KEM, ML-DSA, and SLH-DSA. The SLH-DSA (SPHINCS+) ...

Rajalakshmi Srinivasaraghavan accelerates AI performance by optimizing software libraries for the IBM POWER10 Matrix Math Assist (MMA) engine.

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 ...

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 ...

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 ...

An ASIC customizes the hardware architecture and, therefore, the related software, to a task. Designers create the hardware to meet the requirements of the product to be developed, often creating new ...

There once was a time when system design was completely serial. Entire hardware platforms were designed, prototyped, debugged, and virtually completed before any software development began. Of course, ...

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 ...