Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

Software architecture has long faced the problem of operating within system boundaries where specific requirements dominate: ...

“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...

Researchers demonstrated a scalable, modular hardware platform that integrates thousands of interconnected qubits onto a customized integrated circuit. This 'quantum-system-on-chip' (QSoC) ...

New technical paper titled “Safety-Oriented System Hardware Architecture Exploration in Compliance with ISO 26262” from researchers at National Taipei University. “Safety-critical intelligent ...

Lawrence Livermore National Laboratory has long been one of the world’s largest consumers of supercomputing capacity. With computing power of more than 200 petaflops, or 200 billion floating-point ...

The open-source revolution is expanding beyond software into hardware design. New microcontrollers from Microchip Technology and Espressif incorporate processors based on RISC-V—an open-source ...

GTC, which began Monday and runs through Thursday, features 900+ sessions. More than 200,000 developers, researchers, and data scientists from 50+ countries have registered for the event. At his GTC ...

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 ...