Acquisition of a Computer Cluster for the Center of Applied Mathematics and Statistics at NJIT

新泽西理工学院数学科学系（DMS）和应用数学与统计中心（CAMS）在核磁共振项目的支持下，获得了一个64节点的贝奥武夫级计算机集群，用于数学科学的研究。集群的每个计算节点由两个2.0 GHz 64位处理器（AMD Opteron CPU）组成；集群包括256gb内存、海量存储设备、科学软件和硬件，用于高速Myrinet网络。该机器致力于支持教师和研究生在CAMS和DMS方面的研究，并用于涉及数学建模和计算技术开发的项目，以研究物理科学和生物学的基本过程。这些项目的例子包括：开发有效的分子动力学方法，应用于纳米装置中的流体流动和药物分子/蛋白质靶标相互作用；视觉皮层神经元大型相互作用系统的模拟颗粒体系的研究；生物学表面过程的介观模型研究晶体材料表面演化的模拟改进了研究电磁波传播方面的数值方法。研究活动主要涉及科学和技术中重要过程的数学建模，因此对各种学科的科学家和工程师都有好处。例如，分子动力学方法的研究用于获得药物分子与其蛋白质靶点之间相互作用的见解，视觉皮层中相互作用神经元的数值模拟可以提高对高级视觉处理事件的理解，例如“边缘检测”，晶体材料表面演化的研究有助于设计新型微电子设备。此外，所描述的研究促进了应用数学家和不同领域的科学家之间的跨学科合作。参与研究的研究生和博士后接受最先进的数值技术培训。

The Department of Mathematical Sciences (DMS) and Center for Applied Mathematics and Statistics (CAMS) at the New Jersey Institute of Technology, under the auspices of the MRI program, acquire a 64-node Beowulf-class computer cluster for research in the mathematical sciences. Each compute-node of the cluster is composed of two 2.0 GHz, 64-bit processors (AMD Opteron CPU); the cluster includes a total of 256 GB of memory, mass storage devices, scientific software, and hardware for a high speed Myrinet network. The machine is dedicated to the support of research by faculty and graduate students in CAMS and DMS, and is used for projects which involve mathematical modeling and the development of computational techniques to study fundamental processes in physical science and biology. Examples of these projects include: the development of efficient molecular dynamics methods with applications to fluid flow in nano-devices and drug molecule/protein target interactions; simulations of large interacting systems of neurons in the visual cortex; investigations of granular systems; studies of mesoscopic models for surface processes in biology; simulations of surface evolution in crystalline materials; and improved numerical methods for studying aspects of electromagnetic wave propagation.The research activities are primarily involved with the mathematical modeling of important processes in science and technology and hence are of benefit to scientists and engineers in a wide variety of disciplines. For example, the research on molecular dynamics methods is used to obtain insights in the interactions between drug molecules and their protein targets, numerical simulations of interacting neurons in the visual cortex can lead to an improved understanding of high-level visual processing events, such as "edge-detection," and studies of surface evolution in crystalline materials aid in the design of novel microelectronic devices. In addition, the described research promotes interdisciplinary collaborations between applied mathematicians and scientists in diverse areas. Graduate students and postdocs involved in the research receive training in state-of-the-art numerical techniques.