The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...
One of the most fundamental problems in modern silicon is known as the processor-memory performance gap. The term, which has been used for decades, refers to the well-known tendency for CPUs to ...
The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...
Memory channels are one of those quiet design choices that can make a gaming PC feel snappy or strangely sluggish, even when the CPU and GPU look strong on paper. The difference between running a ...
Exploiting unstructured sparsity in the hardware accelerator of a Convolutional Neural Networks (CNNs) based inference can improve energy efficiency. However, it needs a complex controller for ...
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