Modules

Here is a list of all modules:

[detail level 12]

▼Algorithmic Skeletons	An overview of all algorithmic skeletons offered by SkelCL
AllPairs Skeleton	The AllPairs skeleton describes a calculation of pairs of row vectors and column vectors with a user defined function which can be performed on one or more devices
Map Skeletons	This group of classes implements the Map skeleton, which describes calculations performed on one or more devices. It invokes a unary used-defined function on a container in a parallel fashion
MapOverlap Skeleton	The MapOverlap skeleton describes calculations performed on one or more devices. It invokes a unary user-defined function on a container in a parallel fashion. Unlike the Map skeleton the user-defined function can access more than just a single element of the container
Reduce Skeleton	The Reduce skeleton describes a calculation on a Vector performed in parallel on a device. Given a binary user-defined function the input Vector is reduced to a scalar value
Scan Skeleton	The Scan skeleton describes a calculation on a Vector performed in parallel on a device. Given a binary user-defined function the input Vector is transformed into an out Vector by performing a scan (a.k.a. prefix sum) operation
Zip Skeleton	The Zip skeleton describes a calculation on two containers performed in parallel on one or more devices. It invokes a binary user-defined function on its two input containers in a parallel fashion
▼Containers	An overview of all container data types offered by SkelCL
Matrix	Two dimensional container data structures
Vector	One dimensional container data structures
Distributions	An overview of all distributions offered by SkelCL