Abstract: Computing-in-memory (CIM) chips have demonstrated promising energy efficiency for artificial intelligence (AI) applications such as neural networks (NNs), Transformer, and recommendation ...
Abstract: Many-core architecture is a promising architecture to accelerate increasingly larger neural networks (NNs). Most many-core architectures couple a standalone CPU core and a tensor core ...
Memory chips are a key component of artificial intelligence data centers. The boom in AI data center construction has caused a shortage of semiconductors, which are also crucial for electronics like ...
SPipe is a LLM training framework that enables efficient utilization of multiple GPUs and CPUs for training under limited compute and memory resources. SPipe presents two key techniques for pipeline ...
Online LLM inference powers many exciting applications such as intelligent chatbots and autonomous agents. Modern LLM inference engines widely rely on request batching to improve inference throughput, ...
US Commerce Secretary Howard Lutnick is driving a fundamental reordering of the global semiconductor supply chain. According to exclusive analysis from DIGITIMES analyst Luke Lin, the administration ...
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