Creating the World’s Largest Reconfigurable Supercomputing System Based on the Scalable SGI® Altix® 4700 System Infrastructure and Benchmarking Life-Science Applications

Cofer, Haruna; Fouquet-Lapar, Matthias; Gamerdinger, Timothy; Lindahl, Christopher; Losure, Bruce; Mayer, Alan N.; Swoboda, James; Utsumi, Teruo

doi:10.1007/978-3-540-78610-8_27

Cited by 2 publications

(2 citation statements)

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“…A development environment is provided that supports the use of both high-level (e.g., Handel-C, Mitrion-C) and low-level (e.g., Verilog, VHDL) hardware description languages for generating FPGA configurations. A single system image of the available FPGAs is provided by the RASC Abstraction Layer (RASCAL), a software stack that performs automatic wide scaling across multiple FPGAs [103].…”

Section: Aggregation Of Peripheral Devicesmentioning

confidence: 99%

Single system image: A survey

Healy

Lynn

Barrett

et al. 2016

Journal of Parallel and Distributed Computing

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Section: Aggregation Of Peripheral Devicesmentioning

confidence: 99%

Single system image: A survey

Healy

Lynn

Barrett

et al. 2016

Journal of Parallel and Distributed Computing

View full text Add to dashboard Cite

“…A number of abstraction models have been proposed for co-processors that present a single system image to the application developer or runtime environment. For example, RAS-CAL (Reconfigurable Application-Specific Computing Abstraction Layer) is a software library developed by SGI that provides functionality for device allocation, reconfiguration, data transport, error handling and automatic wide scaling across multiple FPGAs [19]. Virtual OpenCL (VCL) [8] provides a similar API-level abstraction for GPUs distributed across a cluster.…”

Section: Virtualization By Aggregationmentioning

confidence: 99%

An Auction-driven Self-organizing Cloud Delivery Model

Marinescu¹,

Paya²,

Morrison³

et al. 2013

Preprint

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The three traditional cloud delivery models -IaaS, PaaS, and SaaS -constrain access to cloud resources by hiding their raw functionality and forcing us to use them indirectly via a restricted set of actions. Can we introduce a new delivery model, and, at the same time, support improved security, a higher degree of assurance, find relatively simple solutions to the hard cloud resource management problems, eliminate some of the inefficiencies related to resource virtualization, allow the assembly of clouds of clouds, and, last but not least, minimize the number of interoperability standards?We sketch a self-organizing architecture for very large compute clouds composed of many-core processors and heterogeneous coprocessors. We discuss how self-organization will address each of the challenges described above. The approach is bid-centric. The system of heterogeneous cloud resources is dynamically, and autonomically, configured to bid to meet the needs identified in a high-level task or service specification. When the task is completed, or the service is retired, the resources are released for subsequent reuse.Our approach mimics the process followed by individual researchers who, in response to a call for proposals released by a funding agency, organize themselves in groups of various sizes and specialities. If the bid is successful, then the group carries out the proposed work and releases the results. After the work is completed, individual researchers in the group disperse, possibly joining other groups or submitting individual bids in response to other proposals. Similar protocols are common to other human activities such as procurement management.

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Creating the World’s Largest Reconfigurable Supercomputing System Based on the Scalable SGI® Altix® 4700 System Infrastructure and Benchmarking Life-Science Applications

Cited by 2 publications

References 0 publications

Single system image: A survey

Single system image: A survey

An Auction-driven Self-organizing Cloud Delivery Model

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