SCREMS: A Parallel Computer Cluster For Multiphysics & Multiscale Modeling of Subsurface & Surface Flows

德克萨斯大学奥斯汀分校德克萨斯计算与应用数学研究所下属的次表面建模中心将购买个人电脑、一台控制工作站以及一台存储设备，以构建一个能够处理100 GFlop的并行计算平台。集群的网络(高速MyrinetNetwork(1Gbit)和100Mb以太网络)已经到位。这个平台将致力于CSM领导的数学科学的研究。将使用该平台的项目包括地下过程的大规模多物理模拟、极端不均匀岩石中流动的多尺度模拟、有限元海岸和海洋模拟、并行太标量迭代求解器和不连续Galerkin离散方法。每个项目的一个重要组成部分是开发新的可伸缩并行算法，以及执行和测试概念验证和生产质量代码，以模拟能源和环境应用驱动的情况。德克萨斯大学奥斯汀分校德克萨斯计算与应用数学研究所的地下建模中心将购买所需的设备，以构建一台每秒可进行1000亿次算术运算的中型并行计算机。这台计算机将致力于CSM领导的数学和计算科学的研究。参与该项目的研究人员在开发稳健、准确和快速的计算技术方面拥有数十年的经验。新的集群将允许对这种技术进行大规模的计算建模和测试，这些技术有望提高理解、预测、监测和控制发生在地表和地下的自然和工程过程的能力。重要的例子包括优化石油和天然气回收，分析地下水和地表水的污染和补救方案，如含水层和沿海环境。对专用计算资源的访问将极大地加速这种发展。

The Center for Subsurface Modeling (CSM), part of the TexasInstitute for Computational and Applied Mathematics at TheUniversity of Texas at Austin, will purchase 64 PCs, acontrol workstation, as well as a storage device, in orderto constuct a parallel computing platform capable of100 Gflops. The network for the cluster (high speed Myrinetnetwork (1Gbit) and a 100Mb ethernet network) is already inplace. This platform will be dedicated to research in themathematical sciences being led by CSM. Projects that willuse this platform include large-scale multiphysics modelingof subsurface processes, multiscale modeling of flow inextremely heterogeneous rocks, finite element coastal andocean modeling, parallel terascale iterative solvers, andDiscontinuous Galerkin discretization methods. A substantialcomponent of each of these projects is the development ofnew scalable parallel algorithms as well as implementationand testing of both proof-of-concept as well as ofproduction-quality codes for simulation of cases driven byenergy and environment applications. A dedicatedlimited-access resource greatly expedites such development.The Center for Subsurface Modeling, part of the TexasInstitute for Computational and Applied Mathematics at TheUniversity of Texas at Austin, will purchase equipment neededto construct a medium size parallel computer capable of100 billion arithmetic operations per second. This computerwill be dedicated to research in the mathematical andcomputational sciences being led by CSM. Researchersinvolved in the project have decades of experience indevelopment of robust, accurate and fast computationaltechniques. The new cluster will allow for large-scalecomputational modeling and testing of such techniques whichpromise to improve ability to understand, predict, monitor,and control natural and engineered processes occuring insurface and subsurface. Significant examples includeoptimization of oil and gas recovery, analysis ofcontamination and remediation scenarios in subsurface andsurface waters like aquifer and coastal environments. Theaccess to a dedicated computing resource willgreatly expedite such development.