The rapid evolution of semiconductor devices has amplified the demand for advanced automated test equipment (ATE) that can handle increasingly complex test scenarios for logic devices. ATE vector ...
There is a recurring challenge when training giant artificial intelligence (AI) models. As models grow, the data that the graphics processing unit (GPU) must handle surges, quickly filling GPU memory ...
The application I'm working with does use memory pools as its model for allocation (for the most part), so I know I should be using the Memcheck-specific functions when dishing out memory. However, ...
Smart memory node device from UniFabriX is designed to accelerate memory performance and optimize data-center capacity for AI workloads. Israeli startup UniFabriX is aiming to give multi-core CPUs the ...