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

地下建模中心（CSM）是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一部分，将购买64台个人电脑、控制工作站和存储设备，以构建一个能够运行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。该平台将致力于CSM领导的数学科学研究。将使用该平台的项目包括地下过程的大规模多物理场建模，极端非均质岩石流动的多尺度建模，沿海和海洋有限元建模，并行万亿级迭代求解器和不连续Galerkin离散化方法。这些项目的一个重要组成部分是开发新的可扩展并行算法，以及实现和测试概念验证以及用于模拟由能源和环境应用驱动的案例的生产质量代码。专用的有限访问资源大大加快了这种发展。地下建模中心是德克萨斯大学奥斯汀分校计算与应用数学研究所的一部分，将购买建造一台每秒能进行1000亿次算术运算的中型并行计算机所需的设备。这台计算机将致力于由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强大，准确和快速的计算技术方面拥有数十年的经验。新的集群将允许大规模的计算建模和测试这些技术，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。重要的例子包括石油和天然气开采的优化，地下水和地表水（如含水层和沿海环境）的污染分析和修复方案。对专用计算资源的访问将大大加快这种发展。

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.