GL_artifact.zip (862.93 kB)
Code to run experiments for Euro-Par 2018 paper: Global-Local View: Scalable Consistency for Concurrent Data Types
software
posted on 2018-08-28, 10:46 authored by Deepthi Akkoorath, José Brandão, Annette Bieniusa, Carlos BaqueroThis dataset contains the source code that is used for the evaluation described in the Euro-Par 2018 conference paper entitled "Global-Local View: Scalable Consistency for
Concurrent Data Types".
Concurrent Data Types".
The paper describes a model to leverage existing patterns for concurrent access to objects in a shared memory system. In this model, each thread maintains different views on the shared object: a thread-local view and a global view. As the thread-local view is not shared, it can be updated without incurring synchronization costs. These local updates become visible to other threads only after the thread-local view is merged with the global view.
Several data types are evaluated for performance and scalability compared to linearizable implementations.
The code is provided in two folders:
csrc/ has the source code of the experiments for mergeable counter in C++.
javasrc/ has the source code of the experiments for other data types in Java.
The files are in .java. SH, . R, and .PLOT formats. Images of the plots which are included in the accompanying paper are also included in .PNG format.
A PDF README file is included which provides instructions on how to compile, run and plot the experiments described in the accompanying paper, using a multi-core processor with at least 8 cores.
