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

位于奥斯汀的得克萨斯大学计算与应用数学研究所的地下建模中心（CSM）将购买64台PC、一个控制工作站以及一个存储设备，以构建一个能够实现100 Gflops的并行计算平台。 集群的网络（高速Myrinet网络（1Gbit）和100Mb以太网）已经就位。 该平台将致力于由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，极端非均质岩石中流动的多尺度建模，有限元海岸模拟，并行万亿次迭代求解器和不连续Galerkin离散化方法。每个项目的一个实质性组成部分是新的可扩展并行算法的开发，以及概念验证和生产质量代码的实施和测试，用于模拟能源和环境应用程序驱动的情况。 一个专用的有限访问资源极大地加快了这种发展。地下建模中心，得克萨斯大学奥斯汀分校得克萨斯计算和应用数学研究所的一部分，将购买所需的设备，以建造一个中等大小的并行计算机，每秒能够进行1000亿次算术运算。 这台计算机将致力于数学和计算科学的研究，由CSM领导。 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有数十年的经验。新的集群将允许大规模计算建模和测试这些技术，这些技术有望提高理解，预测，监测和控制地表和地下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的回收，分析污染和补救方案，在地下和表面沃茨，如含水层和沿海环境。使用专用的计算资源将大大加快这种开发。

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.