Package: singularity-container Source: singularity Version: 2.2.1+1.1 Architecture: amd64 Maintainer: Dave Love Installed-Size: 926 Depends: libc6 (>= 2.16) Filename: ./amd64/singularity-container_2.2.1+1.1_amd64.deb Size: 132070 MD5sum: c2e97e8b4b7163c8854a898ae4424262 SHA1: 63b99539757cc30fd217c3ad8614d270c5c6d445 SHA256: 442f13c772896069b167b021ccc455bbde5ffd84d23d271691ffaac43d0be366 Section: admin Priority: optional Homepage: http://gmkurtzer.github.io/singularity Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container Version: 2.3.1+4.1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 2355 Depends: libc6 (>= 2.16), python Filename: ./amd64/singularity-container_2.3.1+4.1_amd64.deb Size: 288296 MD5sum: c53ed006555815009676bdc1032d00b3 SHA1: 1002791900c6b5bea6933b822fe8061b9a36ac23 SHA256: 3eb292d24129871fd10d6bb94269ba88f6e6e4cc4fb5fddf25ab7f888b1fed35 Section: admin Priority: optional Homepage: http://gmkurtzer.github.io/singularity Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container Version: 2.3.2+1.1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 2369 Depends: libc6 (>= 2.16), python Filename: ./amd64/singularity-container_2.3.2+1.1_amd64.deb Size: 291714 MD5sum: be91bec92fbca8f0daa8672e8e428019 SHA1: 40e5108d7e3a659375514d3270b5d88d7cbf041f SHA256: 58706e55a5a08c46feb3f3ee9c2d47794914cb9626413ad6536941cf559d1b77 Section: admin Priority: optional Homepage: http://gmkurtzer.github.io/singularity Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers. Package: singularity-container Version: 2.4.0+3.1 Architecture: amd64 Maintainer: Gregory M. Kurtzer Installed-Size: 2160 Depends: libc6 (>= 2.14), python, squashfs-tools Filename: ./amd64/singularity-container_2.4.0+3.1_amd64.deb Size: 297882 MD5sum: c937420ed029b70827d25a4eae41e04c SHA1: 2172482b6429c39220c79f6d4af60fa7126688e0 SHA256: b3bd956517c4409bb7d9824cbc3b2246738491c56905d782e057c94309a83e54 Section: admin Priority: optional Homepage: http://gmkurtzer.github.io/singularity Description: container platform focused on supporting "Mobility of Compute" Mobility of Compute encapsulates the development to compute model where developers can work in an environment of their choosing and creation and when the developer needs additional compute resources, this environment can easily be copied and executed on other platforms. Additionally as the primary use case for Singularity is targeted towards computational portability, many of the barriers to entry of other container solutions do not apply to Singularity making it an ideal solution for users (both computational and non-computational) and HPC centers.