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.