libjpeg-turbo 2.1.3-GCCcore-11.3.0

libjpeg-turbo is a fork of the original IJG libjpeg which uses SIMD to accelerate baseline JPEG compression and decompression. libjpeg is a library that implements JPEG image encoding, decoding and transcoding.

Accessing libjpeg-turbo 2.1.3-GCCcore-11.3.0

To load the module for libjpeg-turbo 2.1.3-GCCcore-11.3.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load bear-apps/2022a
module load libjpeg-turbo/2.1.3-GCCcore-11.3.0

BEAR Apps Version

2022a

Architectures

EL8-cascadelake — EL8-haswell — EL8-icelake

The listed architectures consist of two part: OS-CPU.

  • BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
  • BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.

More Information

For more information visit the libjpeg-turbo website.

Dependencies

This version of libjpeg-turbo has a direct dependency on: GCCcore/11.3.0 NASM/2.15.05-GCCcore-11.3.0

Required By

This version of libjpeg-turbo is a direct dependent of: Gdk-Pixbuf/2.42.8-GCCcore-11.3.0 Ghostscript/9.56.1-GCCcore-11.3.0 ImageMagick/7.1.0-37-GCCcore-11.3.0 Leptonica/1.83.0-GCCcore-11.3.0 libgd/2.3.3-GCCcore-11.3.0 LibTIFF/4.3.0-GCCcore-11.3.0 libwebp/1.2.4-GCCcore-11.3.0 LittleCMS/2.13.1-GCCcore-11.3.0 OpenCV/4.6.0-foss-2022a-CUDA-11.7.0-contrib OpenCV/4.6.0-foss-2022a-contrib Pillow/9.1.1-GCCcore-11.3.0 Qt5/5.15.5-GCCcore-11.3.0 TensorFlow/2.11.0-foss-2022a-CUDA-11.7.0 TensorFlow/2.11.0-foss-2022a tesseract/5.3.0-GCCcore-11.3.0

Other Versions

These versions of libjpeg-turbo are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 20th January 2023