Abstract: Processing-In-Memory (PIM) architectures alleviate the memory bottleneck in the decode phase of large language model (LLM) inference by performing operations like GEMV and Softmax in memory.

Abstract: Successive cancellation (SC) decoding of polar codes suffers from high decoding latency due to its sequential nature. Fast-SC decoding alleviates this by identifying special nodes that ...

Download PDF Join the Discussion View in the ACM Digital Library Of course, the choice of programming language is a contentious one. Languages do not exist in a vacuum, and the right language for a ...

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 ...

Dear Carol: My 56-year-old husband recently went into memory care. I visit every morning and often in the evening because, even though he no longer recognizes me, he needs me. I need him, too, so the ...

135GB VmPeak - This is the critical indicator. The process at some point had 135GB of virtual memory allocated, which is grossly excessive for a CLI tool. 65GB VmData - The data segment (heap) is 65GB ...