Sorting large datasets can be computationally expensive. By leveraging PVM, this project distributes the sorting workload across multiple processes (potentially on different hosts), enabling efficient ...

Zhang et al. (1) question whether our study (2) provides evidence of multiple parallel vector memories coexisting in bumblebees. They suggest that an alternate model, where a single vector memory is ...

Abstract: A parallel vector quantization (VQ) processor has been developed aiming at real-time compression of motion pictures using 0.35 /spl mu/m CMOS technology. The chip employs a new simple search ...

Abstract: Emerging applications, e.g., machine learning, large language models (LLMs), and graphic processing, are rapidly developing and are both compute-intensive and memory-intensive. Computing in ...