Abstract: In this work, we consider the integration of MPI one-sided communication and non-blocking I/O in HPC-centric MapReduce frameworks. Using a decoupled strategy, we aim to overlap the Map and ...

Republicans hold an overwhelming majority in the Indiana Senate, but more than a dozen of them defied the president’s wishes, voting against a map aimed at adding Republicans in Congress. By Mitch ...

Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.

We’ll start with the most far-reaching addition, which the spec describes as “a new Iterator global with associated static and prototype methods for working with iterators.” The most exciting part of ...

This project implements a simple MapReduce algorithm in Rust. It reads a set of strings and counts the occurrences of each word, demonstrating basic parallel processing using threads.

In server-side JavaScript, you will most likely use the fs library for dealing with the filesystem. This library is a module in Node and other platforms like Bun. So you don’t need to install it using ...

Deep learning (DL) techniques, more specifically Convolutional Neural Networks (CNNs), have become increasingly popular in advancing the field of data science and have had great successes in a wide ...

Visual Studio Code is a code editor that is completely free and open-source. It has been developed by Microsoft and is highly regarded by developers due to its lightweight, fast, and extensible design ...

Abstract: Among the current technologies to analyse large data, the MapReduce processing model stands out in Big Data. MapReduce is implemented in frameworks such as Hadoop, Spark or Flink that are ...