Data Compression of numerical data sets with the BigWhoop library

This repository contains all the resources needed to participate in the hands-on sessions of the lecture Data Compression of numerical data sets with the BigWhoop library. The repository is organized as follows:

Folder	Content
0-docs	Lecture Slides
1-bwc	Source Code
2-data	Test Data

Building BigWhoop

Dependencies

• make
• cmake (>= 3.5.1)
• gcc (>= 8.5.0)

Building

clone the sources from HLRS' gitea instance:

git clone https://code.hlrs.de/TOPIO/Deep_Learning_Workshop.git

Now change into the source code directory and run the following commands.

for a simple build

make clean
make

for a full build (including command line tool)

make full

for debugging

make clean
make debug

This builds the library and places the associated files in the /lib or /lib64 folders. If a full build was attempted, the command line tool binaries are placed in the /bin folder.