Building Big-Memory machines using Distributed Shared Memory

Dnr:

SNIC 2016/3-82

Type:

SNAC Small

Principal Investigator:

Ahmed Aleyeldin

Affiliation:

UmeƄ universitet

Start Date:

2017-01-09

End Date:

2018-02-01

Primary Classification:

20206: Datorsystem

Webpage:

http://www.it.uu.se/research/project/argo

Allocation

Abstract

Distributed Shared Memory has gained lately new traction and interest as they can provide a really nice abstraction for running Big Data workloads. In this project, together with Uppsala University, we will investigate the usage of a recent developed system at UU to analyse an 8 TB dataset that we can not analyse efficiently otherwise.