Sentence examples for memory hierarchy of from inspiring English sources

This method reduces the number of points of global synchronization allowing efficient exploitation of the memory hierarchy of the GPU.

Kelefouras et al. [24] propose a methodology to speed up the FFT algorithm depending on the memory hierarchy of processor's architecture.

Thus we can solve the data dependency problem at the block boundaries and efficiently take advantage of the memory hierarchy of the GPU.

We also exploited the memory hierarchy of the GPU by moving data from global memory to shared memory (and registers) so as to promote coalesced access and avoid the high costs associated with global memory.

The second contribution made by this paper is examining the effect on the memory hierarchy of changing the layout of the input dataset in memory, showing again that the performance is limited by memory accesses.

In order to obtain a high performance, the code must be optimized for the GPU architecture, i.e., an implementation that exploits the memory hierarchy of the CUDA programming model.

This solution places the instruction memory hierarchy out of the cycle determining path.

In addition, the cache can reduce the average latency of memory hierarchy for error correction, with only about 20.2% of L2 cache energy cost and 2% of L2 cache silicon overhead.

The proposed approach is applied on a highly parameterized SoC platform based on a parameterized VLIW processor and a parameterized memory hierarchy for the optimization of performance and power dissipation.

We showcase that our quantified locality measure can be used to evaluate compiler optimizations, to analyze the locality at different levels of memory hierarchy, to optimize the cache architecture to effectively leverage the locality, and to examine the effect of data prefetching mechanisms.

Exploiting the CUDA programming framework, the present work proposes a novel methodology formulated around the GPU hardware architecture and memory hierarchy to accelerate the calibration process of a classification model named eNN10.