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insideHPC Special Reports

The editors of insideHPC, working with other industry experts, have created these detailed Special Reports and Guides on the following HPC topics.

insideHPC Guide to Co-Design Architectures

Co-Design ArchitecturesA single issue has always defined the history of HPC systems: performance. While offloading and co-design may seem like new approaches to computing, they actually have been used, to a lesser degree, in the past as a way to enhance performance. Current co-design methods are now going deeper into cluster components than was previously possible. These new capabilities extend from the local cluster nodes into the “computing network.”

Co-design methods are not limited to high-end systems. Designing a machine using the latest components (CPU, GPU, storage, and network) and protocols (UCX, FCA/Core Direct, SHArP and CCIX-when available) will provide unprecedented flexibility to end-users. Important applications can be co-designed and referenced hardware designs made available by vendors. As the industry enters the co-design epoch, new levels of computing efficiency and performance will become available.

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Click here to download the insideHPC Guide to Co-Design Architectures

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insideHPC Special Report: The Industrialization of Deep Learning

Driven initially by internet connectivity and increasingly by a flood of internet connected devices – the ‘Internet of Things’ – we are deluged with data and overwhelmed by the inability to process it. Even though conventional computer-based systems can process data much faster than human beings, they still need to follow programmed instructions, and the pace at which we can reprogram them is still governed by human constraints.  Deep learning changes that fundamentally by creating systems that can be trained autonomously, and the quality of the training becomes critical to the quality of precision and recall of the results and inferences made. Without the speed and capacity for unsupervised learning being demonstrated by deep learning systems we progressively fall behind in our ability to filter information and bring it effectively into human based decision systems.  Well trained deep learning systems can fundamentally alter the economic, productivity and value propositions of business and any other kind of human interaction.  We have the hardware to create the systems that are sufficiently capable, now we need to focus on how to train them rather than thinking about how to program them. Learn how.

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Click here to download the InsideHPC Guide to Deep Learning 

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insideHPC Guide to Production Supercomputing

Guide to Supercomputing CoverWhile HPC has its roots in academia and government where extreme performance was the primary goal, high performance computing has evolved to serve the needs of businesses with sophisticated monitoring, pre-emptive memory error detection, and workload management capabilities. This evolution has enabled “production supercomputing,” where resilience can be sustained without sacrificing performance and job throughput.

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Click here to download the InsideHPC Guide to Production Supercomputing 

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InsideHPC Guide to Technical Computing

IHPC Guide Tech Computing

Many scientists and engineers have found that High Performance Computing (HPC) can solve problems, lead to insights, and generate discoveries faster and more efficiently than any other method — often reducing solution times from days or weeks to hours. This paper and article series offers both HPC users and managers, guidance when considering the best way to deploy a technical computing solution.

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Click here to download the InsideHPC Guide to Technical Computing 

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Guide to Cloud Computing for HPC

IHPC Guide to Cloud Computing for HPC - CoverCloud computing is changing the way that IT organizations operate and innovate. While moving enterprise type applications to a cloud service provider is progressing, technical computing has been lagging in this transformation. This is changing, as the technology that once sat in a protected data center is now available in the cloud. This in-depth whitepaper and article series describes the challenges that users face today and the solutions available that make running applications that depend on HPC technologies a reality. The HPC in the cloud is real and is an organizational competitive advantage.

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Click here to download the insideHPC Guide to Cloud Computing for HPC

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HPC Clusters BannerGuide to Cluster Management

A successful HPC cluster is a powerful asset for an organization. At the same time, these powerful racks present a multifaceted resource to manage.  If not properly managed, software complexity, cluster growth, scalability, and system heterogeneity can introduce project delays and reduce the overall productivity of an organization. At the same time, cloud computing models as well as the processing of Hadoop workloads are emerging challenges that can stifle business agility if not properly implemented. To help our audience build and manage successful HPC Clusters the editors of insideHPC have created this guide called called “the Five Essential Strategies for Successful HPC Clusters.

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Click here to download the InsideHPC Guide to Cluster Management

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Guide to Open Computing

Download the InsideHPC Guide to Open Computing

The Open Compute Project, initiated by Facebook as a way to increase computing power while lowering associated costs with hyper-scale computing, has gained a significant industry following. This guide to Open Computing, from the editors of insideHPC, is a series of articles design to help organizations optimize their HPC environment to achieve higher performance at a lower operating cost. The complete ‘Guide to Open Computing’ is available for download from the insideHPC White Paper Library. 

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Click here to download the InsideHPC Guide to Open Computing

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Guide to HPC in Life Sciences

HPC in Life Sciences 250

Bio and life sciences use of HPC, including bio-medical research and development organizations in such areas as: pharmaceuticals, medical research, agriculture, environmental engineering, etc. A great deal of additional usage of HPC for life sciences occurs at public-sector (academic and government) research labs, or even in other industries, such as an oil company pursuing research in bio fuels. The applications and types of users in this segment are therefore quite broad, ranging from independent commercial labs to multinational pharmaceutical companies. Learn how you can speed up your life sciences research with this Guide to HPC in Life Sciences.

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Click here to download the InsideHPC Guide to HPC in Life Sciences

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Guide to HPC Storage

guide to HPC storage 250HPC and technical computing environments require the collection, storage, and transmission of large-scale datasets. To meet these demands, datacenter architects must consider how increasing storage capacity over time will affect HPC workload, performance, and system availability. This guides looks at many aspects of a well designed HPC storage environment.

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Click here to download the InsideHPC Guide to HPC Storage

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Guide to HPC in Manufacturing

Guide to HPC ManufacturingThe adoption of HPC by manufacturers, both large and small, is accelerating the pace of new and more complex product introductions. This report and article series looks at the role of HPC in manufacturing including crafting HPC solutions and relevant case studies.

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Click here to download the InsideHPC Guide to HPC in Manufacturing

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 Guide to Virtualization

HPC Virtualization Guide - CoverOver the past several years, virtualization has made major inroads into enterprise IT infrastructures. And now it is moving into the realm of high performance computing  (HPC), especially for such compute intensive applications as electronic design automation (EDA), life sciences, financial services and digital media entertainment. This article is the first in a series that explores the benefits the HPC community can achieve by adopting proven virtualization and cloud technologies

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Click here to download the InsideHPC Guide to HPC Virtualization

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