Commodity Converged Fabrics for Global Address Spaces in Accelerator Clouds

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Provided by: Georgia Institute of Technology
Topic: Cloud
Format: PDF
Hardware support for Global Address Spaces (GAS) has previously focused on providing efficient access across remote memories, typically using custom interconnects or high-level software layers. New technologies, such as Extoll, HyperShare, and NumaConnect now allow for cheaper ways to build GAS support into the data center, thus making high-performance coherent and non-coherent remote memory access available for standard data center applications. At the same time, data center designers are currently experimenting with a greater use of accelerators like GPUs to enhance traditionally CPU-oriented processes, such as data warehousing queries for in-core databases. However, there are very few workable approaches for these accelerator clusters that both use commodity interconnects and also support simple multi-node programming models, such as GAS.
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