libniftiio2t64
low-level IO libraries for the NIfTI-1 data format (niftiio)
Niftilib is a set of i/o libraries for reading and writing files in the
NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical
image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI)
brain images.
libncbi6t64
NCBI libraries for biology applications
The NCBI Software Development Toolkit was developed for the production and
distribution of GenBank, Entrez, BLAST, and related services by NCBI. It
allows you to read and write NCBI ASN.1 files, builds Blast or Entrez, etc.
mcstas-mcrun
Neutron ray-trace simulation - runner
McStas is a tool for carrying out Monte Carlo ray-tracing simulations
of neutron scattering instruments with high complexity and
precision. The simulations can compute all aspects of the performance
of instruments and can thus be used to optimize the use of existing
equipment, design new instrumentation, and carry out virtual
experiments for e.g. training, experimental planning or data
analysis.
mcxtrace
X-ray ray-trace simulation
McXtrace is a tool for carrying out highly complex Monte Carlo
ray-tracing simulations of X-ray beamlines to high precision. The
simulations can compute all aspects of the performance of beamlines
and can thus be used to optimize the use of existing equipment,
design new instrumentation, and carry out virtual experiments for
e.g. training, experimental planning or data analysis.
libmrpt-nanogui2.14
Mobile Robot Programming Toolkit - nanogui library
The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform,
and open source C++ library aimed to help robotics researchers to design and
implement algorithms in the fields of Simultaneous Localization and Mapping
(SLAM), computer vision, and motion planning (obstacle avoidance).
libsocl-contrib-1.4-1t64
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.