libyara10
YARA shared library
YARA is a tool aimed at helping malware researchers to identify and
classify malware samples. With YARA, it is possible to create
descriptions of malware families based on textual or binary patterns
contained in samples of those families. Each description consists of
a set of strings and a Boolean expression which determines its logic.
liblirc0t64
Infra-red remote control support - Run-time libraries
LIRC stands for 'Linux Infra-red Remote Control'.
libstarpu-contrib-1.4-2
Task scheduler for heterogeneous multicore machines
StarPU is a runtime system that offers support for heterogeneous
multicore machines. While many efforts are devoted to design efficient
computation kernels for those architectures (e.g. to implement BLAS
kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
offloading such kernels (and implementing data coherency across
the machine), but it also makes sure the kernels are executed as
efficiently as possible.
puppet-module-rally
Puppet module for OpenStack Rally
Puppet lets you centrally manage every important aspect of your system using a
cross-platform specification language that manages all the separate elements
normally aggregated in different files, like users, cron jobs, and hosts,
along with obviously discrete elements like packages, services, and files.
pybuild-plugin-autopkgtest
pybuild autopkgtest test runner (metapackage)
This package depends on the packages required to run pybuild-autopkgtest, a
pybuild-based autopkgtest test runner. pybuild-autopkgtest will run the same
test suite that regular pybuild runs during build time, but against the
installed packages and without doing a build first.
libstarpu-contrib-openmp-llvm-1.4-1
Task scheduler for heterogeneous multicore machines
StarPU is a runtime system that offers support for heterogeneous
multicore machines. While many efforts are devoted to design efficient
computation kernels for those architectures (e.g. to implement BLAS
kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
offloading such kernels (and implementing data coherency across
the machine), but it also makes sure the kernels are executed as
efficiently as possible.