Sentence examples for hardware scaling from inspiring English sources

It is a very efficient technique when hardware scaling is not supported.

This technique emulated hardware scaling by providing less time for the VM to utilize a resource.

We propose a thread-level closed-queuing network model covering a fairly large design space, accounting for hardware scaling models, coarse-grain, fine-grain, and simultaneous multithreading (SMT) cores, shared resources, including cache, memory, and critical sections.

The specs include a mention of hardware scaling from 848×480 to 1024×600, a minor and non-aspect-matched stretch that can't be good for readability; this was likely planned as a shortcut for developers who didn't want to actually redo their pixel counts, menu images, and so on.

In addition to relatively short loading times, Takami's team planned for the device to feature hardware scaling and rotation similar to that found in Sega's arcade games, which required the use of a dedicated digital signal processor (DSP).

GROMACS comprises an efficient and high-throughput molecular simulation suite of programs that allow for hardware scaling, both in multiple computer clusters and in single computers using multiple cores and graphics accelerators, using both Message-Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallelization.

1) The computing ability and hardware scale of all-in-one devices.

In our case, scalability is considered to be the ability to add more hardware (scale up or scale out) to improve the capacity and performance of a system.

As neurons increase, training time increases dramatically, but the company's neuromorphic hardware scales well in time, but take up a lot of space on a chip.

It's a problem that CloudFlare has the potential to solve because virtual hardware can scale to meet the increased demand (and CloudFlare is designed to help block these types of attacks, as well), but the banks couldn't take advantage because they didn't want to put their SSL keys into the cloud.

Because of the high degree of parallelism in the algorithm, designers can take full advantage of parallel processing in hardware while linearly scaling total throughput with available hardware resources.