Enabling FPGA-as-a-Service in the Cloud with hCODE Platform

Zhao, Qian; Amagasaki, Motoki; Iida, Masahiro; Kuga, Morihiro; Sueyoshi, Toshinori

doi:10.1587/transinf.2017rcp0004

Cited by 12 publications

(8 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These regions can be asymmetric as well as symmetric in shape. The asymmetric approach is usually taken to support multiple different sizes of modules without having to reconfigure the entire FPGA [54]. The symmetric approach uses similar or identically sized partial regions (also called 'tiled regions' or 'resource slots').…”

Section: B Shellsmentioning

confidence: 99%

A Survey on FPGA Virtualization

Vaishnav

Pham

Koch

2018

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

View full text Add to dashboard Cite

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.

show abstract

Section: B Shellsmentioning

confidence: 99%

A Survey on FPGA Virtualization

Vaishnav

Pham

Koch

2018

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

View full text Add to dashboard Cite

show abstract

“…In this way, the resource allocation becomes flexible, as it can reside in one or more neighboring regions, which further minimizes the internal fragmentation, as in [78]. On the other hand, asymmetric regions support the modules of different sizes and save us from reconfiguring the whole FPGA [86] altogether. The connectivity is crucial for every execution model, it can either be host connectivity, or independent connectivity or the hybrid of the two.…”

Section: Shellsmentioning

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%

Revisiting the High-Performance Reconfigurable Computing for Future Datacenters

2020

View full text Add to dashboard Cite

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.

show abstract

“…The role region is usually a dynamically reconfigurable region [8], [9], [13], [5]. Some researchers proposed a static role that would be combined with the static logic and synthesized to get the full FPGA bit stream [10], [22]. Compilers for this approach, compile an application (written in High-level language) into a SW part and FPGA part that executes the user-specified compute-intensive functions (kernels).…”

Section: Related Workmentioning

confidence: 99%

Cloud-Based FPGA Custom Computing Machines for Streaming Applications

Al-Aghbari

Elrabaa

2019

IEEE Access

View full text Add to dashboard Cite

A novel platform for launching and using field-programmable gate arrays (FPFA) custom computing machines (CCMs) in clouds and data centers is proposed. Based on a developed FPGA virtualization scheme, it allows users to create independent computing services on network-attached standalone FPGAs. The interface of the virtual FPGA (vFPGA)-based CCM is automatically generated by a virtualization layer and based on the user's specifications. An FPGA hypervisor has been developed that can be easily integrated with any cloud management tool. It allows the users to launch/use/tear down vFPGA-based CCMs in a similar manner to conventional virtual machines (VMs). A complete prototype of the proposed platform has been realized and tested with a streamed image processing application. Its performance was 3-4x and ∼1.4-2.4x times better than an SW implementation on a VM and a powerful server, respectively. Compared with other platforms for FPGA attachment to a cloud or datacenter, the proposed platform has relatively low overhead in terms of FPGA resources while providing the highest level of abstraction and virtualization. INDEX TERMS Reconfigurable computing, FPGAs, custom computing machines, cloud computing, streamed applications.

show abstract

Enabling FPGA-as-a-Service in the Cloud with hCODE Platform

Cited by 12 publications

References 9 publications

A Survey on FPGA Virtualization

A Survey on FPGA Virtualization

Revisiting the High-Performance Reconfigurable Computing for Future Datacenters

Cloud-Based FPGA Custom Computing Machines for Streaming Applications

Contact Info

Product

Resources

About