lisgd
libinput synthetic gesture daemon
Lisgd lets you bind gestures based on libinput touch events to run specific
commands to execute. For example, dragging left to right with one finger could
execute a particular command like launching a terminal. Directional L-R, R-L,
U-D, and D-U gestures and diagnol LD-RU, RD-LU, UR-DL, UL-DR gestures are
supported with 1 through n fingers.
libroken19t64-heimdal
Heimdal Kerberos - roken support library
Heimdal is a free implementation of Kerberos 5 that aims to be
compatible with MIT Kerberos.
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.
liblitehtml0t64
lightweight HTML rendering engine with CSS2/CSS3 support
litehtml is the lightweight HTML rendering engine with CSS2/CSS3 support. Note
that litehtml itself does not draw any text, pictures or other graphics and
that litehtml does not depend on any image/draw/font library. You are free to
use any library to draw images, fonts and any other graphics. litehtml just
parses HTML/CSS and places the HTML elements into the correct positions
(renders HTML).
libnvidia-tesla-510-glcore
NVIDIA binary OpenGL/GLX core libraries (Tesla 510 version)
The NVIDIA binary driver provides optimized hardware acceleration of
OpenGL/GLX/EGL/GLES applications via a direct-rendering X Server
for graphics cards using NVIDIA chip sets.
libstarpu-contribfft-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.