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Showing articles tagged as: addison_snell
14
Worldwide HPC 2018 Total Market Model and 2019–2023 Forecast: Products and Services
, , ,EXECUTIVE SUMMARY This Intersect360 Research report presents the 2018 total market model and five-year forecast for the overall High Performance Computing (HPC) market, segmented into product and services categories, including servers, storage, services, software, networks, cloud, and other products. The forecast horizon is from 2019 through 2023, with compound annual growth rates (CAGRs) using 2018 as a base. Intersect360 Research defines HPC as the use of servers, clusters, and supercomputers—plus associated software, tools, components, storage, and services—for scientific, engineering, or analytical tasks that are particularly intensive in computation, memory usage, or data management....
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HPC Site Budget Map: Budget Expectations - May 2019
, , ,EXECUTIVE SUMMARY Intersect360 Research surveyed the High Performance Computing (HPC) user community to complete its eleventh Site Budget Allocation Map, a look at how HPC sites divide and spend their budgets. We surveyed users on their spending in seven top-level categories: hardware, software, facilities, staffing, services, cloud/utility/outsourcing computing, and other. Each category was further divided into constituent subcategories, resulting in 27 unique items included in the analysis. Additionally, the respondents were asked about their future budget expectations. This report examines the change in budget from the prior year, expected...
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Worldwide High Performance Computing 2017 Total Market Model and 2018–2022 Forecast: Vertical Markets
, , ,This Intersect360 Research report presents the 2017 total market model and five-year forecast for the overall High Performance Computing (HPC) market, segmented into vertical markets across industry, government, and academia. The forecast horizon is from 2018 through 2022, with compound annual growth rates (CAGRs) using 2017 as a base. Intersect360 Research defines HPC as the use of servers, clusters, and supercomputers—plus associated software, tools, components, storage, and services—for scientific, engineering, or...
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HPC User Budget Map Survey: Machine Learning’s Impact on HPC Environments - September 2018
, , ,Intersect360 Research surveyed the High Performance Computing (HPC) user community to complete its tenth Site Budget Allocation Map, a look at how HPC sites divide and spend their budgets. We surveyed users on their spending in seven top-level categories: hardware, software, facilities, staffing, services, cloud computing, and other. Each category was further divided into constituent subcategories, resulting in 27 unique items included in the analysis. Additionally, the respondents were asked about their future budget expectations. For this iteration of the annual Budget Map survey, Intersect360 Research incorporated questions to investigate the...
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The Long-Range Forecast for Exascale Computing - July 2018
, ,This Intersect360 Research report presents a long-range forecast for the market for Exascale-class systems in the High Performance Computing (HPC) market. While Intersect360 Research generally publishes five-year forecasts, this model necessarily considers a longer range, as a stable market for Exascale-class systems will take additional time to develop. Because a specific definition is lacking, the debate over what constitutes an Exascale-class system will continue, especially as the threshold is neared, ...
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Worldwide High Performance Computing 2017 Total Market Model and Forecast: Cloud Categories — June 2018
, , ,This Intersect360 Research report presents the cloud segment of the 2017 total market model and five-year forecast for the overall High Performance Computing (HPC) market, segmented into cloud segments: raw cycles, storage, application hosting (SaaS), infrastructure hosting (IaaS, PaaS), and other. The forecast horizon is from 2018 through 2022, with compound annual growth rates (CAGRs) using 2017 as a base. Intersect360 Research defines HPC as the use of servers, clusters, and...
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