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Altair to boost UNLV Supercomputing

Today UNLV announced new Memorandum of Understanding (MOU) between the university and Altair Engineering. “Per the agreement, Altair’s technology will enable Cherry Creek II users to simplify access and utilization of the supercomputer’s capabilities and capacity. When deployed, PBS Works, Altair’s high-performance computing management suite, will securely manage all Cherry Creek II compute workload.”

Resource Management Across the Private/Public Cloud Divide

This is the final entry in a insideHPC series of features that explores new resource management solutions for workload convergence, such as Bright Cluster Manager by Bright Computing. This article highlights how resource management systems that can manage clusters on-premises or in the cloud greatly simplify cluster management. That way, different tools do not have to be learned for managing a cluster based on whether it is located in the company data center or in the cloud.

Adaptive Computing rolls out Moab HPC Suite 9.1.2

Today Adaptive Computing announced the release of Moab 9.1.2, an update which has undergone thousands of quality tests and includes scores of customer-requested enhancements. “Moab is a world leader in dynamically optimizing large-scale computing environments. It intelligently places and schedules workloads and adapts resources to optimize application performance, increase system utilization, and achieve organizational objectives. Moab’s unique intelligent and predictive capabilities evaluate the impact of future orchestration decisions across diverse workload domains (HPC, HTC, Big Data, Grid Computing, SOA, Data Centers, Cloud Brokerage, Workload Management, Enterprise Automation, Workflow Management, Server Consolidation, and Cloud Bursting); thereby optimizing cost reduction and speeding product delivery.”

Binary Packaging for HPC with Spack

Todd Gamblin from LLNL gave this talk at FOSDEM’18. “This talk will introduce binary packaging in Spack and some of the open infrastructure we have planned for distributing packages. We’ll talk about challenges to providing binaries for a combinatorially large package ecosystem, and what we’re doing in Spack to address these problems. We’ll also talk about challenges for implementing relocatable binaries with a multi-compiler system like Spack. “

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.

Xtreme Design HPC Cloud Management Demo at SC17

In this video from SC17, Naoki Shibata from Xtreme Design demonstrates the company’s innovative solutions for deploying and managing HPC clouds. “Customers can use our easy-to-deploy turnkey HPC cluster system on public cloud, including setup of HPC middleware (OpenHPC-based packages), configuration of SLURM, OpenMPI, and OSS HPC applications such as OpenFOAM. The user can start the HPC cluster (submitting jobs) within 10 minutes on the public cloud. Our team is a technical startup for focusing HPC cloud technology.”