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.