While most pipeline tools are executed on single CPU cores assigned to them by the RM, the distributed alignment and filtering step runs concurrently on cluster subsections managed by Hadoop.
where T seq(1 - PN) is the time needed by one single processor to execute the sequential algorithm, T par(N - PNs) is the time needed by N processors to execute the parallel algorithm, and finally, Nb.hypotheses.parallel and Nb.hypotheses.sequential are the number of hypotheses to be executed on a one single processor system and N processors system, respectively.
Multiple applications can be executed on a single chip, by dynamically reconfiguring the hardware on chip from one application to another as needed.
Multiple processes may be executed on a single computer processing unit (CPU) to save hardware and, to some extent, to save energy; however, it is important to be careful to share the CPU so as to meet all the real-time deadlines.
Stored procedures can be executed on a single partition or on all of them; however, the drawback is that the user is responsible for selecting between these options.
Wiesmann, Urban, and Défago present in [22] the SNMP-FD framework, a SNMP-based failure detector service that can be executed on a single LAN.
Consider an application consisting of two parts: a sequential part s, followed by a parallel part p, so that the sequential part must be executed on a single core, and the parallel part can be (evenly or unevenly) distributed over multiple cores.
These pipelines can be executed on a single desktop or distributed across large compute clusters.
The fourth column contains the computation time for the model comparisons if they would be executed on a single processor core.
The same plugin can be executed on a single client computer, a remote server or a grid system, and benefits from automated software updates.
