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University of Pennsylvania: Philadelphia, Pennsylvania, US

2023-01-01 to present | Assistant Professor (Physics and Astronomy)
Employment
Source: Self-asserted source
Dylan Rankin

Works (14)

Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml

Machine Learning: Science and Technology
2023-06-01 | Journal article
DOI: 10.1088/2632-2153/acc0d7
Contributors: Elham E Khoda; Dylan Rankin; Rafael Teixeira de Lima; Philip Harris; Scott Hauck; Shih-Chieh Hsu; Michael Kagan; Vladimir Loncar; Chaitanya Paikara; Richa Rao et al.
Source: check_circle
Crossref

Physics Community Needs, Tools, and Resources for Machine Learning

2022 | Review
DOI: 10.48550/ARXIV.2203.16255
Contributors: Philip Harris; Erik Katsavounidis; William Patrick McCormack; Dylan Rankin; Yongbin Feng; Abhijith Gandrakota; Christian Herwig; Burt Holzman; Kevin Pedro; Nhan Tran et al.
Source: Self-asserted source
Dylan Rankin

Hardware-accelerated inference for real-time gravitational-wave astronomy

Nature Astronomy
2022-05-12 | Journal article
DOI: 10.1038/s41550-022-01651-w
Contributors: Alec Gunny; Dylan Rankin; Jeffrey Krupa; Muhammed Saleem; Tri Nguyen; Michael Coughlin; Philip Harris; Erik Katsavounidis; Steven Timm; Burt Holzman
Source: check_circle
Crossref

Fast convolutional neural networks on FPGAs with hls4ml

Machine Learning: Science and Technology
2021-12-01 | Journal article
DOI: 10.1088/2632-2153/ac0ea1
Part of ISSN: 2632-2153
Contributors: Thea Aarrestad; Vladimir Loncar; Nicolò Ghielmetti; Maurizio Pierini; Sioni Summers; Jennifer Ngadiuba; Christoffer Petersson; Hampus Linander; Yutaro Iiyama; Giuseppe Di Guglielmo et al.
Source: Self-asserted source
Dylan Rankin

The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics

Reports on Progress in Physics
2021-12-01 | Journal article | Author
DOI: 10.1088/1361-6633/ac36b9
Part of ISSN: 0034-4885
Part of ISSN: 1361-6633
Contributors: Gregor Kasieczka; Benjamin Nachman; David Shih; Oz Amram; Anders Andreassen; Kees Benkendorfer; Blaz Bortolato; Gustaaf Brooijmans; Florencia Canelli; Jack H Collins et al.
Source: Self-asserted source
Dylan Rankin

GPU coprocessors as a service for deep learning inference in high energy physics

Machine Learning: Science and Technology
2021-09-01 | Journal article | Author
DOI: 10.1088/2632-2153/abec21
Part of ISSN: 2632-2153
Contributors: Jeffrey Krupa; Kelvin Lin; Maria Paola Acosta Flechas; Jack T Dinsmore; Javier Mauricio Duarte; Philip Harris; Scott Hauck; Burt Holzman; Shih-Chieh Hsu; Thomas Klijnsma et al.
Source: Self-asserted source
Dylan Rankin

Quasi anomalous knowledge: searching for new physics with embedded knowledge

Journal of High Energy Physics
2021-06 | Journal article
DOI: 10.1007/jhep06(2021)030
Part of ISSN: 1029-8479
Contributors: Sang Eon Park; Dylan Rankin; Silviu-Marian Udrescu; Mikaeel Yunus; Philip Harris
Source: Self-asserted source
Dylan Rankin

Inclusive search for highly boosted Higgs bosons decaying to bottom quark-antiquark pairs in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV

Journal of High Energy Physics
2020-12 | Journal article
DOI: 10.1007/jhep12(2020)085
Part of ISSN: 1029-8479
Contributors: A. M. Sirunyan; The CMS collaboration; A. Tumasyan; W. Adam; F. Ambrogi; T. Bergauer; M. Dragicevic; J. Erö; A. Escalante Del Valle; R. Frühwirth et al.
Source: Self-asserted source
Dylan Rankin

FPGAs-as-a-Service Toolkit (FaaST)

2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC)
2020-12-28 | Conference paper
DOI: 10.1109/h2rc51942.2020.00010
Source: Self-asserted source
Dylan Rankin

Compressing deep neural networks on FPGAs to binary and ternary precision with <tt>hls4ml</tt>

Machine Learning: Science and Technology
2020-12-04 | Journal article
DOI: 10.1088/2632-2153/aba042
Part of ISSN: 2632-2153
Contributors: Jennifer Ngadiuba; Vladimir Loncar; Maurizio Pierini; Sioni Summers; Giuseppe Di Guglielmo; Javier Mauricio Duarte; Philip Harris; Dylan Rankin; Sergo Jindariani; Mia Liu et al.
Source: Self-asserted source
Dylan Rankin

AIgean: An Open Framework for Machine Learning on Heterogeneous Clusters

2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)
2020-05 | Conference paper
DOI: 10.1109/fccm48280.2020.00072
Contributors: Naif Tarafdar; Giuseppe Di Guglielmo; Philip C Harris; Jeffrey D Krupa; Vladimir Loncar; Dylan S Rankin; Nhan Tran; Zhenbin Wu; Qianfeng Shen; Paul Chow
Source: Self-asserted source
Dylan Rankin

Fast inference of Boosted Decision Trees in FPGAs for particle physics

Journal of Instrumentation
2020-05-29 | Journal article
DOI: 10.1088/1748-0221/15/05/p05026
Part of ISSN: 1748-0221
Contributors: S. Summers; G. Di Guglielmo; J. Duarte; P. Harris; D. Hoang; S. Jindariani; E. Kreinar; V. Loncar; J. Ngadiuba; M. Pierini et al.
Source: Self-asserted source
Dylan Rankin

The Phase-2 Upgrade of the CMS Level-1 Trigger, CMS Technical Design Report CERN-LHCC-2020-004. CMS-TDR-021

2020-04-07 | Report
Contributors: Zabi, Alexandre; Berryhill, Jeffrey Wayne; Perez, Emmanuelle; Tapper, Alexander D.
Source: Self-asserted source
Dylan Rankin

FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing

Computing and Software for Big Science
2019-12 | Journal article
DOI: 10.1007/s41781-019-0027-2
Part of ISSN: 2510-2036
Part of ISSN: 2510-2044
Contributors: Javier Duarte; Philip Harris; Scott Hauck; Burt Holzman; Shih-Chieh Hsu; Sergo Jindariani; Suffian Khan; Benjamin Kreis; Brian Lee; Mia Liu et al.
Source: Self-asserted source
Dylan Rankin
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