When we look at the four steps of k-means, we find that the first step (initialization) cannot be parallelized
, because it is too simple, and each centroid must be initialized globally.
Companies who are looking for cost effective high speed parallelized
file transfers should stop by our booth #SL14810 and allow us to demonstrate the power of the File Fabric."
Now, Fujitsu has developed a new stream processing architecture that automatically switches to a newly provided data processing program when a parallelized
data processing job has been completed, by separating stream processing into data reception processing and actual data processing so that data reception processing and current data processing are not stopped (patent pending).
In this paper, we proposed a parallel nonnegative matrix factorization with regularization method (PNMF-M) which introduced manifold regularization into conventional NMF and parallelized
it on distributed computing systems.
The framework took as input the file and method name whose code needed to be parallelized
The new engine has been parallelized
and should be substantially faster, and Mozilla believes it can use its new Servo engine to enable capabilities like mixed-reality support far more easily than would've been possible in the old version.
Maxelers DFE based technology enables large-scale complex numerical simulations, with unprecedented performance density, up to 100x faster than conventional parallelized
CPU approaches with unsurpassed energy efficiency to solution.
(3) compute-intensive workloads can be sped up by orders- of-magnitude when parallelized
across flash storage subsystems
neural network is further enhanced using HaLoop  to reduce the computation overhead incurred in the iteration process of the neural network.
The article makes an in depth analysis of the key aspects that carry significant weight when deciding to parallelize a certain part of an application: the analysis phase of the application that is about to be parallelized
; the amount of time involved to achieve the implementation; the feasibility of parallelizing the source code; situations when one should aim for central processing units optimization techniques that yield better performance on sequential source code rather than parallelizing the whole algorithm.
Or, based on the execution order required by the algorithm, it may be possible to break up the loop into separate loops, some of which can be parallelized
. If a loop body is long and complex, it might be advantageous to break that loop into smaller pieces for clarity and a better chance that some of those smaller loops will contain independent iterations.