Executing parallel function calls imposes a lot of problems since lazy evaluation or other kinds of code optimization destroy the temporal behavior.
Self-assembling DNA nanostructures are an efficient means of executing parallel molecular computations.
This paper presents a set of MATLAB scripts to write input files, read output files, make plots, execute parallel computations, and perform fully-automated functions of HEC-RAS.
A number of worker processes for executing Python functions in parallel (roughly one worker per CPU core).
Each instance of the reduce function therefore executes only dependent tuple keys from the map function, and there can be as many reduce functions executing in parallel as the number of keys.
Each instance of the reduce function executes independently, so there can be as many reduce functions executing in parallel as there are distinct keys, i.e. k-mers in the input.
Like Google's proprietary MapReduce framework, applications developers need only write custom map and reduce functions, and the Hadoop framework automatically executes those functions in parallel.
Unlike other parallel computing frameworks, which require application developers explicitly manage inter-process communication, computation in MapReduce is divided into two major phases called map and reduce, separated by an internal shuffle phase of the intermediate results (Fig. 1), and the framework automatically executes those functions in parallel over any number of processors.
Executing a parallel simulation of a parallelized model requires calling ParallelContext's psolve method.
The objective of this structure is to create a thread for each of the tasks shown in Section 4. This way, a different thread is assigned to each task and will execute its function on each of the images, in parallel with other threads that will be executing their function on different images.
The floating-point processor is designed on a field programmable gate array (FPGA) chip to execute nonlinear functions required in the parallel calculation of the back-propagation algorithm.
