We show that our parallel implementation presents a speed-up of about 25 with respect to a sequential implementation on an Intel I7 CPU.
However, this test used a sequential implementation to mimic ESTCP test conditions.
The execution speed of the two parallel algorithms is compared, on functions which are typically used as benchmarks for PSO, with a standard sequential implementation of PSO (SPSO), as well as with recently published results of other parallel implementations.
We now compare performance of three implementations of a particle filter: a sequential implementation (in Java and using quicksort in place of bitonic sort), an implementation in Hadoop and an implementation in Spark.
The majority of existing QAM implementations follow a sequential implementation approach and rely on high modulation levels in order to meet the emerging high data rate constraints [1 5].
This parallelization scheme has been developed starting from a dependency analysis of the Lucas-Kanade algorithm, using a sequential implementation developed at the University of Porto.
Therefore, a parallel implementation iterates through the grid in the same way as a sequential implementation.
We compared the Hadoop implementation against a sequential implementation that is executed on the same machine.
A 3-year, multifaceted, sequential implementation of hand hygiene enhancement intervention at a US teaching hospital resulted in an increase in hand hygiene compliance from 41%to87%7% (p < 0.01).
