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.