Scaling Open-Source HW Accelerator for Deep NN Inference (UDE, Fraunhofer IMS)


Researchers from University of Duisburg-Essen and Fraunhofer Institute for Microelectronic Circuits and Systems have published “OpenEye: A Scalable Open-Source Hardware Accelerator for DNNs”. Abstract “The increasing computational complexity of deep neural network inference poses significant challenges for efficient hardware acceleration on embedded platforms, particularly with respect ... » read more

EDA Looks Beyond Chips


Large EDA companies are looking at huge new opportunities that reach well beyond semiconductors, combining large-scale multi-physics simulations with methodologies and tools that were developed for chips. Top EDA executives have been talking about expanding into adjacent markets for more than a decade, but the broader markets were largely closed to them. In fact, the only significant step in... » read more

Week In Review: Design, Low Power


Trade regulations/legal The U.S. government placed new restrictions on sales of GPUs to China that could be used for high-performance computing, artificial intelligence, and other advanced applications. NVIDIA said in an SEC filing Wednesday that officials told the company it must seek an export license for sales to China or Russia of its A100 and H100 chips, and any system that includes those... » read more