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: On-chip optical neural networks (ONNs) have recently emerged as an attractive hardware accelerator for deep learning applications, characterized by high computing density, low latency, and ...

This is a compilation of experiments on multi-thread computing, parallel computing and a small project on parallel programming language implementations, including Pthread, OpenMP, CUDA, HIP, OpenCL ...

Abstract: In 1961 Avizienis proposed a parallel algorithm for addition in base 10 with digit set A = {-6, -5, ..., 5, 6}. Such an algorithm performs addition in constant time, independently of the ...

The Vector API gives Java developers everything they need to tap into CPU-level performance gains for numerically intensive operations. If there is one thing you can describe as an obsession for both ...