Smaller clusters often overload a single server with multiple services such as file, resource scheduling, plus monitoring/management. While this approach may work for systems with fewer than 100 nodes, these services can overload the cluster network or the single server as the cluster grows. InsideHPC Guide show a plan for scalable HPC cluster growth
HPC systems rely on large amounts of complex software, much of which is freely available. There is an assumption that because the software is “freely available,” there are no associated costs. This is a dangerous assumption. There are real configuration, administration, and maintenance costs associated with any type of software (open or closed).
The basic HPC cluster consists of at least one management/login node connected to a network of many worker nodes. Depending on the size of the cluster, there may be multiple management nodes used to run cluster-wide services, such as monitoring, workflow, and storage services. This insideHPC article series looks at the Five Essential Strategies for Managing HPC Clusters.
Currently, there are many trends in HPC clustering that include software complexity, cluster growth and scalability, system heterogeneity, Cloud computing, as well as the introduction of Hadoop services. Without a cogent strategy to address these issues, system managers and administrators can expect less-than-ideal performance and utilization. There are many component tools and best practices to be found throughout the industry. To help our audience build and manage successful HPC Clusters the editors of insideHPC have created this article series called “the Five Essential Strategies for Successful HPC Clusters.”
External aerodynamics analysis plays a key role in modern automotive design. But while performance can be tested in physical wind tunnels, doing so is extremely costly — and often numerous test runs are required to determine the changes needed to improve results. Virtual wind tunnel simulations provide an alternative by allowing design engineers to study aerodynamic loads – reducing the need for physical wind tunnel testing.
For decades, HPC systems have accelerated life sciences research, often by helping to identify and eliminate in feasible targets sooner. That is, it’s easier to find needles in haystacks if you can eliminate the hay. A new white paper from Intersect360 Research focuses on speeding up HPC life sciences research.
Fans of the Intel Xeon Phi coprocessors should be interested in a new whitepaper by Colfax International: Configuration and Benchmarks of Peer-to-Peer Communication over Gigabit Ethernet and InfiniBand in a Cluster with Intel Xeon Phi Coprocessors. Intel Xeon Phi coprocessors allow symmetric heterogeneous clustering models, in which MPI processes are run fully on coprocessors, as […]