node-lezer-markdown

Node.js module to provide Markdown grammar for the lezer parser system

The problem of parsing structured text has resisted one-size-fits all solutions for over 60 years. Lezer isn't such a solution either, but it is a very decent parser generator, especially well suited for use in code editors.

libsocl-contrib-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.

ruby-cvss-suite

Ruby gem for processing cvss vectors.

This Ruby gem helps you to process the vector of the Common Vulnerability Scoring System (https://www.first.org/cvss/specification-document). Besides calculating the Base, Temporal and Environmental Score, you are able to extract the selected option.

libqt5opengl5t64

Qt 5 OpenGL module

Qt is a cross-platform C++ application framework. Qt's primary feature is its rich set of widgets that provide standard GUI functionality.

libstarpu-contrib-1.4-4

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.

libstarpu-contribmpi-1.4-3

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.