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Ellexus Launches Mistral Software for Balancing Shared Storage across HPC Clusters

Today Ellexus in the UK announced the release of Mistral, a “ground breaking” product for balancing shared storage across a high performance computing cluster. Developed in collaboration with ARM’s IT department, Mistral monitors application IO and cluster performance so that jobs exceeding the expected IO thresholds can be automatically identified and slowed down through IO throttling.

Registration Opens for Inaugural Nimbix Developer Summit in Dallas

Registration is now open for the inaugural Nimbix Developer Summit. With an impressive lineup of speakers & sponsors from Mellanox, migenius, Xilinx, and more, the event takes place March 15 in Dallas, Texas. “The summit agenda will feature topics such as hardware acceleration, coprocessing, photorealistic rendering, bioinformatics, and high performance analytics. The sessions will conclude with a panel of developers discussing how to overcome challenges of creating and optimizing cloud-based applications.”

Video: DDN’s End-to-End HPC Data Management

In this video, Roger Goff from DDN describes how the company’s storage solutions have evolved to address the changing demands and requirements of HPC from compute all the way throughout the entire data lifecycle. “Organizations leverage the power of DDN technology and the deep technical expertise of our team to capture, store, process, analyze, collaborate and distribute data, information and content at largest scale in the most efficient, reliable and cost effective manner. Our customers include many of the world’s leading financial services firms and banks, healthcare and life science organizations, manufacturing and energy companies, government and research facilities, and web and cloud service providers.”

Server Radiators to Power Cloud from DATA4 Group & Qarnot Computing

Today European datacenter specialist DATA4 Group and Qarnot Computing announced a new type of distributed computing system that offers “greener and more efficient computing services.” The system is based on Qarnot’s Q.rad, a smart and connected digital heater. “Think of the device as the fusion of an electrical heater and a server. In the Q.rad model of computing, servers are placed in rooms that need heat. They are then networked together to form a physically distributed cloud computing resource.”

Bright Computing Receives Horizon 2020 Grant for Advancing System Management Technology

Today Bright Computing announced it has been awarded a grant of more than 1.5 million Euros by the European Commission under its Horizon 2020 program. The grant will be used for the Bright Beyond HPC program, which focuses on enhancing and scaling Bright’s industry-leading management platform for advanced IT infrastructure, including high performance computing clusters, big data clusters, and OpenStack-based private clouds.

Bright Computing & BitNet Manage Simulation Infrastructure at FNSS in Turkey

Today Bright Computing announced that it has collaborated with BitNet in Turkey to provide an infrastructure management solution to FNSS. As is a leading manufacturer and supplier of tracked and wheeled armored combat vehicles, FNSS provides weapon systems for the Turkish and Allied Armed Forces.

Bright Cluster Manager 7.2 adds Support for Docker and Intel Omni-Path

Bright Cluster Manager Version 7.2 is out today, a new release that “extends insight, integration, and ease-of-use for managing clustered and cloud-based IT infrastructures.” The new release incorporates a wide range of new features and significantly enhanced monitoring capabilities. “Bright Computing has always prided itself on upgrading its product offerings to respond to new technological trends and user feedback,” said Martijn de Vries, Chief Technology Officer of Bright Computing. “The enhancements we have made in Version 7.2 address recent technology trends, such as the rapid adoption of containers to drive IT efficiency, and support our customers’ ongoing need to stay on top of their dynamic, complex, and converging IT infrastructures.”

Adaptive Computing Achieves Record High Throughput with Supermicro Systems

Today Adaptive Computing announces it has set a new record in High Throughput Computing (HTC) in collaboration with Supermicro, a leader in high-performance green computing solutions. Supermicro SuperServers, custom optimized for Nitro, the new high throughput resource manager from Adaptive Computing, were able to launch up to 530 tasks per second per core on Supermicro based low latency UP SuperServer and over 17,600 tasks per second on its 4-Way based SuperServer. This record-breaking throughput can accelerate financial risk analysis, EDA regression tests, life sciences research, and other data analysis-driven projects. It can expedite the process of gaining critical insights, thereby delivering products and services to market faster.

Do IT Systems Joins Bright Partner Program

Today Bright Computing announced that Italy-based Do IT Systems has signed up to the Bright Partner Program. “Together, Bright Computing and Do IT Systems offer a compelling proposition for Italian customers that require high quality HPC solutions and remote HPC management,” said Roberto Strano, Technical Manager at Do IT Systems. “We have been very impressed with the Bright software, and we are confident that it will enable our customers to develop and manage HPC clusters in an affordable and efficient way.”

Video: Profiling at Scale

“Developers of modern HPC applications face a challenge when scaling out their hybrid (MPI/OpenMP) applications. As cluster sizes continue to grow, the amount of analysis data collected can easily become overwhelming when going from 10s to 1000s of ranks and it’s tough to identify which are the key metrics to track. There is a need for a lightweight tool that aggregates the performance data in a simple and intuitive way, provides advice on next optimizations steps, and hones in on performance issues. We’ll discuss a brand new tool that helps quickly gather and analyze statistics up to 100,000 ranks. We’ll give examples of the type of pertinent information collected at high core counts, including memory and counter usage, MPI and OpenMP imbalance analysis, and total communication vs. computation time. We’ll work through analyzing an application and effective ways to manage the data.”