High-Performance Memory At Low Cost Per Bit


Hardware developers of deep learning neural networks (DNN) have a universal complaint – they need more and more memory capacity with high performance, low cost and low power. As artificial intelligence (AI) techniques gain wider adoption, their complexity and training requirements also increase. Large and complex DNN models do not fit on the small on-chip SRAM caches near the processor. This ... » read more

Managing Memory With Embedded Software


By Ann Steffora Mutschler Memory is shaping up to be a key leverage point for embedded software going forward as it represents such a large fraction of the silicon real estate in today’s SoCs. Managing memory effectively and memory bandwidth also represents a significant fraction of the potential bottlenecks and the power dissipation. As such, everything embedded software can do to enhance h... » read more