Manage HPC Cluster Growth

HPC Cluster Success

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

How to Manage HPC Cluster Software Complexity

HPC Clusters Sm

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).

Data Center Floor Space Utilization

Data Center Utilization Image

You would probably not be surprised to learn that liquid submersion cooling of your servers can save you money on power and cooling costs. Yet, you might be surprised when you read this paper and find that liquid cooling also provides greater efficiency in terms of data center floor space.

HPC Cluster Building Blocks

HPC-Clusters-Banner

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.

Defining HPC Cluster Success Factors

HPC Cluster Success

The true cost of operating a successful HPC cluster extends beyond the initial hardware purchase or power budget. A truly well run and efficient cluster also minimizes the amount of time, resources, and level of expertise administrators need to detect and mitigate issues within the cluster.

Five Essential Strategies for Successful HPC Clusters

HPC Clusters Sm

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.”

Webinar: Pushing the Performance Limit of Virtual Wind Tunnels

Virtual Wind Tunnel image

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.

How European HPC Shops Can Unleash True Performance

Bull Logo

Your HPC environment is critical to helping you quantify data and correlate results — now find out how to unleash the true performance capabilities of your environment!

HPC Life Sciences Report

HPC Life Sciences

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.

New Whitepaper Looks at Peer-to-Peer Communications with Intel Xeon Phi

image

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 […]