libstarpu-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.
libstarpumpi-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.
libecal-2.0-2t64
Client library for evolution calendars
Evolution is the integrated mail, calendar, task and address book
distributed suite from Novell, Inc.
libevemu3t64
Linux Input Event Device Emulation Library
The evemu library and tools are used to describe devices, record data,
create emulation devices and replay data from kernel evdev (input event)
devices.
libopenraw7t64
free implementation for RAW decoding
libopenraw is an ongoing project to provide a free software implementation for
camera RAW files decoding. One of the main reason is that dcraw is not suited
for easy integration into applications, and there is a need for an easy to use
API to build free software digital image processing application.
q2-diversity-lib
QIIME2 plugin to expose diversity metrics/measures as actions
QIIME 2 is a powerful, extensible, and decentralized microbiome analysis
package with a focus on data and analysis transparency. QIIME 2 enables
researchers to start an analysis with raw DNA sequence data and finish with
publication-quality figures and statistical results.
Key features:
* Integrated and automatic tracking of data provenance
* Semantic type system
* Plugin system for extending microbiome analysis functionality
* Support for multiple types of user interfaces (e.g. API, command line,
graphical)