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Note that a performance improvement of nearly 2x is seen on the dual core processor when data parallelism is used. An Application of Data Parallelism At the Max Planck Institute in Munich, Germany, ...
Taking that data and dividing it up among multiple processors is a method of getting data parallelism. This is an area that supercomputers have excelled at for years.
For example, an engineer may develop a real-time embedded control system at the same time as its human-machine interface. Maybe the system also has a computation-intensive task such as high-speed ...
The execution of a query in a parallel database machine can be controlled in either a control flow way, or in a data flow way. In the former case a single system node controls the entire query ...
They're all connected to the PC through the parallel port in Enhance Parallel Port (EPP) mode (see the figure). In EPP mode, the port is an 8-bit bidirectional bus with four control bits.
Cable-Driven Parallel Mechanisms (CDPMs) are subject to collision-free constraints from birth to the present. The collision-free constraints confine the workspace of CDPMs. To expand the workspace, ...
Open source data integration vendor Talend is planning to release a master data management product by the end of the year, as well as to offer a massively parallel processing architecture in ...
Task parallelism on the other hand is where you have multiple tasks that need to be done. So perhaps you have a large data set and you want to know the minimum value and you want to know the ...
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