Item Infomation


Title: 
EPSILOD: efficient parallel skeleton for generic iterative stencil computations in distributed GPUs
Authors: 
Manuel de, Castro
Inmaculada, Santamaria-Valenzuela
Yuri, Torres
Issue Date: 
2023
Publisher: 
Springer
Abstract: 
Iterative stencil computations are widely used in numerical simulations. They present a high degree of parallelism, high locality and mostly-coalesced memory access patterns. Therefore, GPUs are good candidates to speed up their computation. However, the development of stencil programs that can work with huge grids in distributed systems with multiple GPUs is not straightforward, since it requires solving problems related to the partition of the grid across nodes and devices, and the synchronization and data movement across remote GPUs. In this work, we present EPSILOD, a high-productivity parallel programming skeleton for iterative stencil computations on distributed multi-GPUs, of the same or different vendors that supports any type of n-dimensional geometric stencils of any order. It uses an abstract specification of the stencil pattern (neighbors and weights) to internally derive the data partition, synchronizations and communications.
Description: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s11227-022-05040-y
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8249
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