For the past few years, AI infrastructure has focused on compute above all other metrics. More accelerators, larger clusters and higher FLOPS drove the conversation to make the most of GPUs. This ...
Abstract: Computing-in-memory (CiM) architecture is considered a technology that promises to alleviate the memory wall problem in artificial intelligence (AI) computing. Previous work on digital CiM ...
Abstract: Memory underutilization poses a significant challenge in cloud services, leading to performance inefficiencies and resource wastage. The tightly coupled computing and memory resources in ...
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