Enabling Flexible Network FPGA Clusters in a Heterogeneous Cloud Data Center

Tarafdar, Naif; Lin, Thomas; Fukuda, Eric; Bannazadeh, Hadi; Leon-Garcia, Alberto; Chow, Paul

doi:10.1145/3020078.3021742

Cited by 66 publications

(24 citation statements)

References 6 publications

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“…Fundamentally, the virtualization support for I/O is the same as in CPU/software systems, with the main difference being the implementation technology. For FPGAs, the control logic can be either implemented in a software domain (e.g., by using a soft-core [15] or a host CPU [16], [47]) or a special hardware module [6], [10], [14] using some reconfigurable resources. The software approach tends to be used for high flexibility or to save more reconfigurable resources for application logic.…”

Section: B I/o Virtualizationmentioning

confidence: 99%

A Survey on FPGA Virtualization

Vaishnav

Pham

Koch

2018

2018 28th International Conference on Field Programmable Logic and Applications (FPL)

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FPGA accelerators are being applied in various types of systems ranging from embedded systems to cloud computing for their high performance and energy efficiency. Given the scale of deployment, there is a need for efficient application development, resource management, and scalable systems, which make FPGA virtualization extremely important. Consequently, FPGA virtualization methods and hardware infrastructures have frequently been proposed in both academia and industry for addressing multi-tenancy execution, multi-FPGA acceleration, flexibility, resource management and security. In this survey, we identify and classify the various techniques and approaches into three main categories: 1) Resource level, 2) Node level, and 3) Multi-node level. In addition, we identify current trends and developments and highlight important future directions for FPGA virtualization which require further work.

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Section: B I/o Virtualizationmentioning

confidence: 99%

A Survey on FPGA Virtualization

Vaishnav

Pham

Koch

2018

2018 28th International Conference on Field Programmable Logic and Applications (FPL)

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“…Figure 4 lays out the important There are two possibilities for the design of control logic, either software or hardware. The software approach offers high flexibility and space efficiency [75][76][77]. On the other hand, the hardware module offers improved performance at the cost of consuming some reconfigurable resources [78,79].…”

Section: Shellsmentioning

confidence: 99%

“…Tarafdar [77] and his colleagues utilized OpenCL via Xilinx SDAccel framework using an abstract layer to assign the data to multiple FPGAs and maintaining a transparent directory to virtualize the FPGAs at the lower abstraction level. The approach of the FPGA groups [121] suggests that multiple FPGAs can be shared by one group but configured with a matching accelerator.…”

Section: Frameworkmentioning

confidence: 99%

“…The architectures with network support widen the choice of connectivity, which allows the CPU provisioning either as a soft-core or embedded on-chip. OpenStack is the most common method for directly allowing the user to program the FPGA [75,77,87] through physical or virtual address. It provides the flexibility to the expert user for exploiting either socket or remote routine approach to establish connectivity to an FPGA.…”

Section: Cloud Servicesmentioning

confidence: 99%

“…Single FPGA [4,76,77,86,87,106,107,109,115,117,118,125] [ 23,25,75,78,79,[84][85][86]89,107] Multiple FPGAs [4,77,87,106,115,117,125] [41,75,78,79]…”

Section: Single Application Multiple Applicationsmentioning

confidence: 99%

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Revisiting the High-Performance Reconfigurable Computing for Future Datacenters

2020

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Modern datacenters are reinforcing the computational power and energy efficiency by assimilating field programmable gate arrays (FPGAs). The sustainability of this large-scale integration depends on enabling multi-tenant FPGAs. This requisite amplifies the importance of communication architecture and virtualization method with the required features in order to meet the high-end objective. Consequently, in the last decade, academia and industry proposed several virtualization techniques and hardware architectures for addressing resource management, scheduling, adoptability, segregation, scalability, performance-overhead, availability, programmability, time-to-market, security, and mainly, multitenancy. This paper provides an extensive survey covering three important aspects—discussion on non-standard terms used in existing literature, network-on-chip evaluation choices as a mean to explore the communication architecture, and virtualization methods under latest classification. The purpose is to emphasize the importance of choosing appropriate communication architecture, virtualization technique and standard language to evolve the multi-tenant FPGAs in datacenters. None of the previous surveys encapsulated these aspects in one writing. Open problems are indicated for scientific community as well.

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Live Migration in Cloud Data Center

2018

Cloud Computing and Virtualization

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Enabling Flexible Network FPGA Clusters in a Heterogeneous Cloud Data Center

Cited by 66 publications

References 6 publications

A Survey on FPGA Virtualization

A Survey on FPGA Virtualization

Revisiting the High-Performance Reconfigurable Computing for Future Datacenters

Live Migration in Cloud Data Center

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