USING HIGH PERFORMANCE COMPUTING IN 3D DESIGN

Abstract

Abstract o one can deny the great benefit of the HPC ,High Performance Computing allows scientists and engineers to solve complex science, engineering and business problems using applications that require high bandwidth, low latency networking, and very high compute capabilities. Typically, scientists and engineers must wait in long queues to access shared clusters or acquire expensive hardware systems. By using HPC Cluster, users can expedite their HPC workloads on elastic resources as needed and save money by choosing from low-cost pricing models that match utilization needs. Users can choose from Cluster Compute or Cluster GPU instances within a full-bisection high bandwidth network for tightlycoupled and IO-intensive workloads or scale out across thousands of cores for throughput-oriented applications. Today, users can run a variety of HPC applications on these instances including Computer Aided Engineering, molecular modeling, genome analysis, and numerical modeling across many industries including Bio pharma , Oil and Gas, Financial Services and Manufacturing. Users can gain all these benefits by using their perfuse environment, personal computers, network cables, simple software and tool kits. Although there is many commercial, free and open sources with a widely ranges and copy rights of HPC software I preferred the red hat open source solution because it’s the easiest pre-integrated, pre-tested, and certified configurations. After completing my research I understand that HPC can eliminate the cost and complexity of deploying some application by choosing the correct design and tools so that work done quickly and smoothly. Most HPC software forgets about keys like storage and data integrity also I/O performance so I recommend using third party tools and monitors to reduce this weakness