An example field of view imaged over 10 hours (200 time points, 360 cells at the last time point) was segmented sequentially and in parallel with varying number of workers. (A) Runtimes. (B) Speedup is calculated by dividing the sequential execution time by the parallel execution time. With 40 workers the algorithm runs 15.4 times faster. (C) Efficiency is the speedup per processor. Note that the efficiency goes down as the number of processors increases.</p
The aim of this discussion paper is to stimulate (or perhaps to provoke) stronger in-teractions amon...
Parallel computing namely the unification of multiple computers or servers into a single unit that...
In high performance computing environments, we observe an ongoing increase in the available numbers ...
Parallel speedup and efficiency of the benchmark system of Sec. Performance as a function of the num...
<p>Speed up is the ratio of real computation time in serial to real computation time in parallel. Th...
We assess gains from parallel computation on Backlight supercomputer. The information transfers are ...
Speeding up algorithm execution can be achieved by increasing the number of processing cores working...
To run a software application on a large number of parallel processors, N, and expect to obtain spee...
Parallel programs are characterised by their speedup behaviour. Each parallel program is a collectio...
Scheduling problems are essential for decision making in many academic disciplines, including operat...
<p>A series of optimizations are compared in which the number of calculations (and thus the total ti...
Data parallel image processing algorithms have numerous uses in many real time applications. Dependi...
As explained in Section III.A, the computations for all rows of the image can be performed in parall...
Using Amdahl’s law as a metric, the authors illustrate a technique for developing efficient code on ...
We consider the setting of a multiprocessor where the speeds of the m processors can be individually...
The aim of this discussion paper is to stimulate (or perhaps to provoke) stronger in-teractions amon...
Parallel computing namely the unification of multiple computers or servers into a single unit that...
In high performance computing environments, we observe an ongoing increase in the available numbers ...
Parallel speedup and efficiency of the benchmark system of Sec. Performance as a function of the num...
<p>Speed up is the ratio of real computation time in serial to real computation time in parallel. Th...
We assess gains from parallel computation on Backlight supercomputer. The information transfers are ...
Speeding up algorithm execution can be achieved by increasing the number of processing cores working...
To run a software application on a large number of parallel processors, N, and expect to obtain spee...
Parallel programs are characterised by their speedup behaviour. Each parallel program is a collectio...
Scheduling problems are essential for decision making in many academic disciplines, including operat...
<p>A series of optimizations are compared in which the number of calculations (and thus the total ti...
Data parallel image processing algorithms have numerous uses in many real time applications. Dependi...
As explained in Section III.A, the computations for all rows of the image can be performed in parall...
Using Amdahl’s law as a metric, the authors illustrate a technique for developing efficient code on ...
We consider the setting of a multiprocessor where the speeds of the m processors can be individually...
The aim of this discussion paper is to stimulate (or perhaps to provoke) stronger in-teractions amon...
Parallel computing namely the unification of multiple computers or servers into a single unit that...
In high performance computing environments, we observe an ongoing increase in the available numbers ...