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HPC System Management: Scheduling to Optimize Infrastructure

Whether the application is floating-point intensive, integer based, uses a lot of memory, has significant I/O requirements, or its widespread use is limited by purchased licenses, a system that assigns the right job to the right server is key to maximizing the computing infrastructure. We continue our insideHPC series of features exploring new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing. This article discusses how scheduling can work to optimize infrastructure and improve HPC system management. 

The 3 Types of Cloud Computing for HPC Systems Management

Three types of clouds have been developed: public clouds, private clouds and hybrid clouds. We continue our insideHPC series of features exploring new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing. This article explores the three types of cloud computing, as well as how cloud computing can work to reduce CAPEX. 

Bright Computing Release 8.1 adds new features for Deep Learning, Kubernetes, and Ceph

Today Bright Computing released version 8.1 of the Bright product portfolio with new capabilities for cluster workload accounting, cloud bursting, OpenStack private clouds, deep learning, AMD accelerators, Kubernetes, Ceph, and a new lightweight daemon for monitoring VMs and non-Bright clustered nodes. “The response to our last major release, 8.0, has been tremendous,” said Martijn de Vries, Chief Technology Officer of Bright Computing. “Version 8.1 adds many new features that our customers have asked for, such as better insight into cluster utilization and performance, cloud bursting, and more flexibility with machine learning package deployment.”

Clusters & Cloud Computing: Speeding up HPC Systems Management

We continue our insideHPC series of features exploring new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing. This article focuses on how clustering servers and utilizing cloud computing can help your enterprise achieve more flexibility and speed — as well as improve HPC systems management.

Successfully Managing Workload Convergence in Your Data Center

Modern enterprises are being challenged to implement new technologies and produce results faster without increasing their IT budgets. This is the first a series of features exploring new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing.

Ace Computers Offers OpenStack Solutions

Today Ace Computers announced four leading-edge OpenStack applications for clusters, servers and workstations. Although the company has been working with top open source application providers for decades—this is the first announcement of an offering portfolio that includes Red Hat, SUSE, Bright Computing and CentOS. “We have the advantage over most of our competitors of decades-long partnerships with many platform developers,” said Ace Computers CEO John Samborski. ” These strong relationships give us access to leading-edge innovations and expertise that allow us to build the best possible solutions for our clients.”

Data Center Workloads: How to Successfully Manage Convergence

Mixing workloads rather than creating separate application domains is key to efficiency and productivity. Specific software is typically needed only in certain phases of product development, leaving systems idle the rest of the time. Download the insideHPC guide that explores how a powerful scheduling and resource management solution — such as Bright Cluster Manager — can slot other workloads into those idle clusters, thereby gaining maximum value from the hardware and software investment, and rewarding IT administrators with satisfied users.

Bright Computing and SUSE Collaborate at SC17

“The Bright Computing and SUSE partnership was first announced in 2009, enabling customers to deploy, manage, and monitor SUSE Linux Enterprise Server clusters using the Bright interface. Since then, the companies have collaborated many times to provide cutting edge infrastructure management solutions to significant strategic companies around the world, including Boeing in North America and CSIRO in Australia.”

University of North Texas turns to Bright Computing for Efficient Cluster Management

Today Bright Computing, a global leader in cluster and cloud infrastructure automation software, is proud to announce that the University of North Texas (UNT) has integrated Bright Cluster Manager into its HPC environment for research support. The University uses this 350-node cluster to optimize efficiency for researchers working on groundbreaking discoveries in a variety of domains material science, engineering, chemistry, and physics. Bright Cluster Manager helps UNT’s University Information Technology department successfully provision, monitor and manage heterogeneous clusters.

Bright Computing Powers SingleParticle.com for cryo-EM

Today Bright Computing announced a reseller agreement with San Diego-based SingleParticle.com. The company specializes in turn-key HPC infrastructure designed for high performance and low total cost of ownership (TCO), serving the global research community of cryo-electron microscopy (cryoEM). “With Bright, the management of an HPC cluster becomes very straightforward, empowering end users to administer their workloads, rather than relying on HPC experts,” said Dr. Clara Cai, Manager at SingleParticle.com. “We are confident that with Bright’s technology, our customers can maintain our turn-key cryoEM cluster with little to no prior HPC experience.”