By utilizing such memory machine in a direct-drive wind power generation, the resulting system can realize the constant-voltage operation under different load conditions.
Thus the smallest memory machine in the network effectively limits the maximum input size of Murasaki.
Therefore, RAMPART is designed to exploit high performance computing environments, such as clusters or shared memory machines, by executing tools in parallel where possible via the system's job scheduler.
In particular, high memory machines are at a very high premium with most hosted and managed serving providers simply because a lot of them run lots of virtual machines on single physical machines.
The sizes of those simulations often exceed the total memory present in commonly used shared memory machines.
My defenses were down, my memory machine asleep, my dream machine tired, and so the mystery -- which is always beaming in all directions -- made it through.
We tested PDR.POD Mon Blacklight, a distributed shared memory (DSM) machine in Pittsburgh Supercomputing Center.
We tested PDR.POD Mon Blacklight, a distributed shared memory (DSM) machine in the Pittsburgh Supercomputing Center, and observed a weak scaling speedup of 163.8 and above for up to 256 cores as opposed to PODM whose weak scaling speedup is only 44.7 on 256 cores.
Among others, Markatos [19] proposed to use memory from other machines in a local network instead of the local disks, to reduce memory thrashing.
In order to parallelize the BFS algorithm over distributed-memory machines, it is necessary to spatially partition the graphs.
A highly scalable method was proposed in article [13] for computing 3D distance fields on massively parallel distributed-memory machines.
