Where to Begin: HPC and Cloud Computing Models for Engineers
In this session, cloud expert Rick Watkins presents three actionable HPC and cloud models designed to optimize innovation potential and longtime ROI, whether your team is small and nimble or maintains its own large compute infrastructure. Engineers interested in boosting performance with HPC will come away with an understanding of what HPC and cloud model could be right for them – as well as a high-level appreciation for the critical role that IT infrastructure optimization plays in maintaining your team’s competitive edge, and all the complexity involved in making appear simple.
On and Off the Track, Every Second Counts: the Critical Role of HPC Optimization
The Aston Martin Cognizant F1 Team discusses the role of Altair Grid Engine, primarily within the CFD department and other areas of the team which have seen its benefits and have integrated it into their workflows. Its proven contribution to overall performance and Aston Martin’s position on the Formula 1 grid is demonstrated.
The presentation by Laurence Sawbridge-Praties aired at the 2021 Altair HPC Summit in May 2021, and is over 13 minutes long.
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HPC Summit 2021
Boosting HPC for Biotechnology: Bielefeld University's Biotechnology Center Transcends Research Boundaries
Widely recognized for its interdisciplinary research-oriented teaching, Germany’s Bielefeld University encompasses humanities, technology, and natural and social sciences. The university’s Center for Biotechnology (CeBiTec) bundles the institution’s biotechnological activities and research projects, fostering cross-field collaboration and innovation.
Massive volumes of data and growing user demand meant they needed a powerful, efficient workload orchestrator. The team selected Altair Grid Engine for its optimized throughput and performance, rich features, reliability, expert support, and no learning curve.
Maximizing Data Resources: ISI's VISTA Lab Speeds Up Machine Learning Research and Lowers Expenses
The Information Sciences Institute (ISI) is a world leader in research and development of advanced information processing, computing, and communications technologies — one of the nation’s largest, most successful university-affiliated computer research institutes. ISI’s Video, Image, Speech and Text Analytics (VISTA) lab makes extensive use of machine learning in a variety of application areas such as facial identification, natural language processing, and handwriting recognition.
VISTA selected Altair® Grid Engine® to manage growing infrastructure and accelerate its machine learning research. Key contributing factors for VISTA’s decision to transition to Altair Grid Engine over other vendors included built-in advanced GPU support, detailed documentation, ongoing product upgrades, and expert support.
Silicon Design in the Cloud: Mellanox Scales Up EDA Cluster Capacity With On-demand Hybrid Cloud
Mellanox Technologies is a leading supplier of end-to-end Ethernet and InfiniBand intelligent interconnect solutions for servers, storage, and hyper-converged infrastructure. Half the world’s top 500 fastest supercomputers employ Mellanox solutions including high-performance network and multicore processors, network adapters, switches, cables, software, and silicon.
Mellanox needed a robust cluster management and scheduling solution from a trusted partner, leveraging hybrid cloud. In assessing potential solutions, the Mellanox team analyzed performance, features, and costs, ultimately selecting Altair NavOps™ and Altair® Grid Engine®, proven solutions that offered the shortest implementation effort with leading price/performance metrics. Navops Launch seamlessly enabled Mellanox’s existing on-premises infrastructure and workflows to encompass the cloud.
Efficient HPC Enables Research: Queen Mary University of London Maximizes HPC Cluster Performance
Globally recognized for pushing the boundaries of research and innovation, Queen Mary University of London (QMUL) is one of the United Kingdom’s leading higher education institutions, with 5 campuses in London plus sites across Europe and Asia. Queen Mary’s high-performance computing cluster supports a student and research community of over 2,000 users in disciplines including astronomy, computational chemistry, bioinformatics, computer science, engineering, mathematics and statistics, and clinical research.
QMUL needed a robust solution that could take them forward and allow their researchers to run any application type. Having eliminated offerings that were cost-prohibitive, migration-intensive, or lacked support, QMUL selected Altair® Grid Engine® for its rich features, high performance, large installed base, expert support, and easy upgrade path.
Expanding Life Sciences Research: Wellcome Centre for Human Genetics Broadens Research Workloads
The Wellcome Centre for Human Genetics (WHG) is a leading research institute within the Nuffield Department of Medicine at the University of Oxford. With more than 400 researchers, the Centre is an international leader in genetics, genomics, statistics, and structural biology. WHG’s mission is to advance the understanding of genetically-related conditions through a broad range of multi-disciplinary research. To support its research community, the Centre operates a shared HPC cluster comprising more than 4,000 InfiniBand-connected, high-memory compute cores.
With continuing rapid growth and new types of workloads expected, WHG was reaching the limits of their previous open-source Grid Engine scheduler, plus there were no practical options for support or addressing software bugs and security vulnerabilities. After an internal evaluation process and consulting with their user communities, WHG selected Altair® Grid Engine® as the scheduler to power their HPC environment.
Boosting Stability and Scalability: CC-IN2P3 Provides Robust Infrastructure for Nuclear Physics and Particle Physics
The computing center at the National Institute of Nuclear and Particle Physics (CC-IN2P3) is dedicated to data storage and analysis for France’s National Center for Scientific Research. CCIN2P3 provides a 24/7 data hub for international physics, allowing more than 2,500 researchers to collaborate through its data storage, processing, and high-speed network facilities.
The CC-IN2P3 recently expanded to two computer rooms with several thousand servers and libraries, enabling the storage of nearly 340 petabytes of data. As the demand for CC-IN2P3 grew, the team needed to find a robust and stable system backed by full enterprise-class support. They tested, validated, and selected Altair® Grid Engine® to address that challenge.
Altair Grid Engine for Enterprise-class Scheduling and Optimization
Altair® Grid Engine® manages workloads automatically, maximizes shared resources, and accelerates the execution of containers, applications, and services. The solution can be deployed in any technology environment: on-premises, cloud, hybrid cloud, or cloud-native high-performance computing (HPC). By using Altair Grid Engine, enterprises and organizations can deliver products and results faster, more efficiently, and with lower overall costs.
Altair Grid Engine Benchmark Technical Brief
Distributed resource management (DRM) systems are used extensively in many different industries including pharmaceuticals, oil and gas, automotive simulation, and electronic design automation (EDA). DRM is critical to business competitiveness. Altair® Grid Engine® is a DRM solution that enables efficient product design for measurable economic benefits such as faster time to market, fewer defects and warranty returns, and safer and more reliable products.
HPC Summit - Altair Keynote
Altair Founder, Chairman, and CEO James Scapa addresses how HPC has evolved over the past 30+ years, and how Altair has been putting the pieces in place to drive the future of multi-dimensional HPC. The presentation outlines Altair’s vision for the convergence of HPC, artificial intelligence, and simulation.
The keynote was presented at the 2021 Altair HPC Summit, and is over 17 minutes long.
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HPC Summit 2021
Altair Grid Engine Support for NVIDIA DGX Systems
Developed to meet the needs of demanding high-performance computing (HPC), artificial intelligence (AI), and analytics workloads, NVIDIA® DGX™ systems are built on the revolutionary NVIDIA A100 and V100 Tensor Core GPU platforms. By using Altair® Grid Engine® to manage GPU workloads on DGX systems, organizations can boost performance, use resources more efficiently and improve overall productivity.
A Cost-benefit Look at Open-source vs. Commercial HPC Workload Managers
High-performance computing (HPC) fuels scientific discovery and innovation across multiple industries. The combination of large datasets, advanced simulation techniques, and machine learning helps organizations generate insights that would not be possible without modern HPC infrastructure.
Given HPC’s outsized role in driving business results, selecting the right management software is critical. This is especially true in commercial organizations where time is money. In this paper, we discuss the pros and cons of open-source software in HPC and make the case for commercial workload management. While open-source workload managers are fine in some situations, they can present disadvantages in production environments.
The Wharton School Powers World-changing Research with Altair HPC
The Wharton School of the University of Pennsylvania, one of the world’s most prominent business schools, depends on Altair Grid Engine and Altair NavOps to run a powerful, scalable and future-proof HPC infrastructure that enables researchers to focus on their core work.
Powering Drug Discovery – HPC at Johnson & Johnson Supports Critical Pharmaceutical Development
Janssen Pharmaceuticals, a subsidiary of Johnson & Johnson, created the 1-dose COVID-19 vaccine approved by the World Health Organization to prevent infection and save lives. When Janssen needed the right HPC management software for its cloud-based infrastructure, we upgraded the company's workload management software to Altair® Grid Engine® and deployed Altair® NavOps® to manage their complex cloud deployments — a solution that seamlessly integrated with AWS cloud services. The result was a simplified, automated, and extensible HPC infrastructure.