TOPIO/BigWhoop
TOPIO/BigWhoop
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Gregor Weiss a2309b0ba2 Merge pull request 'cmdl-tool' (#45) from cmdl-tool into feat/api 
Reviewed-on: #45
2024-11-07 15:40:28 +00:00
docs Refactored template files to reflect the new coding style 2024-07-03 08:04:43 +02:00
include bwc_to_eas3 and writing decompressed data, tested output can be parsed to compress again 2024-11-06 15:05:08 +01:00
src refactor; uchar -> unsigned char 2024-11-07 16:26:52 +01:00
.gitignore add .vscode to .gitignore 2024-07-01 21:08:29 +02:00
bwc-config-version.cmake.in Ported Header files to new coding standard. 2024-02-22 11:27:40 +01:00
bwc-config.cmake.in Ported Header files to new coding standard. 2024-02-22 11:27:40 +01:00
CMakeLists.txt Bug in CMakeLists.txt (signed commit) 2024-07-01 20:32:31 +02:00
LICENSE Initial commit 2023-06-20 13:43:33 +02:00
Makefile Added the option to enable OpenMP parallelization during debug 2024-06-28 11:28:34 +02:00
public_header.py Reset printFlg during derived types parsing. 2024-04-15 16:08:59 +02:00
README.md Corrected the cloning instructions in the README.md file. 2024-03-06 13:30:08 +01:00

README.md

BigWhoop

Compression library for numerical datasets

BigWhoop is a compression library for numerical datasets that has been developed as part of the EU Projects ExaFLOW and EXCELLERAT. It aims to give scientists and egineers a tool to drastically reduce the size of their simulation data while minimizing the distortion introduced by a lossy compression scheme.

Building BigWhoop

Dependencies

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

Building

clone the sources from HLRS' gitea instance (note: default branch is main):

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

Now change into the source 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.

Credits

This project exists thanks to all the people who contribute.