Performance evaluation of Phoenix++ and MPI + OpenMP equi-join models for processing big data
-
Updated
Mar 7, 2019 - C++
Performance evaluation of Phoenix++ and MPI + OpenMP equi-join models for processing big data
Implementations for Ceng334-Introduction to Operating Systems Course Assignments
MapReduce framework with C++11
Implemented parallel and distributed algorithms using OpenMP, Apache Spark and NVIDIA CUDA
Counts the word occurrences in a file
MapReduce implementation with POSIX threads ThreadPool
Operating System Projects; Fall01
Buyer-seller with socket programming, MapReduce genre counter with pipes, image processing with pthreads.
MapReduceFramework: A multi-threaded library for parallelizing tasks and achieving high-performance computations using the MapReduce model. Simplify distributed computing and harness the power of parallel processing.
Simple MapReduce Implementation for Calculating PageRank in C++
Collection streaming utilities.
Fault-tolerant distributed system in asynchronous C++
Code for Distributed Systems course assignments
I Could Actually Really Use Support (ICARUS): A custom implementation of MapReduce
A single header file containing container utils such as fmap, flatmap, filter, group_by and a generic container-to-string with show.
Operating Systems Projects to demonstrate knowledge of interprocess communication, System calls, and memory mapping
C++ framework for Map/Reduce paradigm
Add a description, image, and links to the mapreduce topic page so that developers can more easily learn about it.
To associate your repository with the mapreduce topic, visit your repo's landing page and select "manage topics."