Sentence examples for computational workloads from inspiring English sources

Besides, at the third level of the programming hierarchy, the computational workloads are assigned to a series of GPU compute threads.

Deep learning applications are rapidly expanding across a growing number of end markets, at the edge and in the cloud, with computational workloads requiring special purpose processors.

Solving a large number of relatively small linear systems has recently drawn more attention in the HPC community, due to the importance of such computational workloads in many scientific applications, including sparse multifrontal solvers.

Qureshi et al. were the first to propose dynamically assigning computational workloads in distributed systems to locations where electricity may be cheaper.

Modern x86 processors also contain increasing numbers of cores, and computational workloads in genetic studies tend to contain large "embarrassingly parallel" steps which can easily exploit additional cores.

Using parallel computing to decompose the computational workload to accelerate the execution time, the message passing interface (MPI) paradigm is well suited for handling computations when a task is divided into subtasks.

Furthermore, the computational speedup increased when the computational problem size increased, which means that the high-performance heterogeneous embedded computing platform was more efficient when the computational workload was larger.

We observe that the computational workload on the vertices may be unbalanced: the computation on a vertex may be more expensive than on another because it has a larger search space.

In recent years, cell phones and portable computers with cameras and other sensors have become powerful enough to handle the computational workload needed to run an augmented-reality system.

For instance, it should help reduce the computational workload during the complex decision-making processes used when carrying out planning tasks.

However, for application designers, computational workload still needs to be distributed to heterogeneous GPUs manually and remains inefficient.