A multicore GPU server for modeling hydraulic fractures

该方案旨在部署一个基于多核图形处理器（GPU）的并行工作站，用于水力压裂数值模拟。这台超级计算机由nVIDA制造的消费者GPU构成，将包括1792个GPU核心，8个CPU核心，并将拥有72 GB的系统内存。该提案的目的是开发专门的算法，通过CUDA编程语言，将利用多核架构，使传播水力压裂的快速建模。水力压裂在石油、天然气和采矿业中具有重要的工业意义，并且正在被研究为在不可渗透岩石中封存CO2的关键组成部分。预计这个项目将提供一个理想的培训机会，HQP在所需的专门技术，利用这种新形式的并行架构。预计这些技术也将在科学计算的其他领域中找到应用，这些领域与管理水力裂缝传播的强耦合方程系统中遇到的挑战相同。

This proposal aims to deploy a parallel architecture workstation based on multiple multicore Graphical Processor Units (GPUs) for the numerical modeling of hydraulic fractures. This supercomputer constructed from consumer GPUs manufactured by nVIDIA will comprise 1792 GPU cores, 8 CPU cores, and will have 72 GB of system memory. The objective of this proposal is to develop specialized algorithms that will exploit the multicore architecture via the CUDA programming language that will enable the rapid modeling of propagating hydraulic fractures. Hydraulic fractures are of great industrial importance in the Oil, Gas, and Mining Industries and are being investigated as a key component in the sequestration of CO2 in impermeable rock. It is expected that this project will provide an ideal training opportunity for HQP in the specialized techniques required to exploit this new form of parallel architecture. It is anticipated that these techniques will also find application in other areas of scientific computation, which share the same challenges as those encountered in the strongly coupled system of equations governing the propagation of hydraulic fractures.