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dc.contributor.author
He, Zhenhao
dc.contributor.author
Parravicini, Daniele
dc.contributor.author
Petrica, Lucian
dc.contributor.author
O’Brien, Kenneth
dc.contributor.author
Alonso, Gustavo
dc.contributor.author
Blott, Michaela
dc.date.accessioned
2022-01-06T12:38:12Z
dc.date.available
2021-10-20T17:25:57Z
dc.date.available
2021-10-21T05:23:54Z
dc.date.available
2022-01-06T12:38:12Z
dc.date.issued
2021
dc.identifier.isbn
978-1-6654-4664-8
en_US
dc.identifier.isbn
978-1-6654-3071-5
en_US
dc.identifier.other
10.1109/H2RC54759.2021.00009
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/510849
dc.identifier.doi
10.3929/ethz-b-000510849
dc.description.abstract
Collective operations such as scatter, gather, reduce, etc are utilized broadly to implement distributed HPC applications and are the target of extensive optimization in all MPI implementations as well as dedicated collective libraries by accelerator vendors (e.g. NCCL and RCCL by NVidia and AMD respectively). We present ACCL, an open-source FPGAaccelerated collectives library designed to serve applications running primarily in Xilinx FPGAs. Compared to previous collective communication solutions for FPGA, ACCL is flexible and extensible, easily portable, and fast. We evaluate ACCL up to 8 nodes and demonstrate that ACCL outperforms OpenMPI over 100 Gbps TCP-IP for large messages.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
FPGA
en_US
dc.subject
collectives
en_US
dc.subject
MPI
en_US
dc.title
ACCL: FPGA-Accelerated Collectives over 100 Gbps TCP-IP
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2021-11-20
ethz.book.title
2021 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC)
en_US
ethz.pages.start
33
en_US
ethz.pages.end
43
en_US
ethz.size
11 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
7th International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC'21)
en_US
ethz.event.location
Atlanta, GA, USA
en_US
ethz.event.date
November 15, 2021
en_US
ethz.notes
Conference lecture held on November 15, 2021
en_US
ethz.identifier.wos
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::03506 - Alonso, Gustavo / Alonso, Gustavo
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::03506 - Alonso, Gustavo / Alonso, Gustavo
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::03506 - Alonso, Gustavo / Alonso, Gustavo
en_US
ethz.date.deposited
2021-10-20T17:26:06Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-01-06T12:38:18Z
ethz.rosetta.lastUpdated
2023-02-06T23:47:26Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=ACCL:%20FPGA-Accelerated%20Collectives%20over%20100%20Gbps%20TCP-IP&rft.date=2021&rft.spage=33&rft.epage=43&rft.au=He,%20Zhenhao&Parravicini,%20Daniele&Petrica,%20Lucian&O%E2%80%99Brien,%20Kenneth&Alonso,%20Gustavo&rft.isbn=978-1-6654-4664-8&978-1-6654-3071-5&rft.genre=proceeding&rft_id=info:doi/10.1109/H2RC54759.2021.00009&rft.btitle=2021%20IEEE/ACM%20International%20Workshop%20on%20Heterogeneous%20High-performance%20Reconfigurable%20Computing%20(H2RC)
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