Pronađeno: 1-10 / 26 radova

Autori: Loncar Vladimir

>> Filter: Samo Article i Review

Naslov PQuantML: a tool for end-to-end hardware-aware model compression (Article)
Autori Niemi Roope  Petrovych Anastasiia  Ranjan Das Arghya  Lupi Enrico  Sun Chang  Danopoulos Dimitrios  Joshua Helbing Marlon  Liu Mia  Dittmeier Sebastian  Kagan Michael  Loncar Vladimir  Pierini Maurizio 
Info MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2026), vol. 7 br. 5, str. -
Projekat Eric & Wendy Schmidt Fund for Strategic Innovation [SIF-2023-004]; SLAC National Accelerator Laboratory [DE-AC02-76SF00515]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov hls4ml: A Flexible, Open Source Platform for Deep Learning Acceleration on Reconfigurable Hardware (Article)
Autori ...  Loncar Vladimir  ...  (broj koautora 53) 
Info ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, (2026), vol. 19 br. 2, str. -
Projekat Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute under U.S. National Science Foundation (NSF) [PHY-2117997]; FermiForward Discovery Group, LLC [89243024CSC000002]; U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics [ST/W000636/1]; Science and Technology Facilities Council (STFC) [ST/W000636/1]; EPSRC [UKRI256, EP/V028251/1, EP/N031768/1, EP/S030069/1, EP/X036006/1]; Eric & Wendy Schmidt Fund for Strategic Innovation through the CERN Next Generation Triggers project [SIF-2023-004]; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [2303700, DE-SC0025324]; DOE ASRSP GCFA Grant [SP0062070]; NSF POSE Phase II Award [2303700]; DOE, Office of Science, Office of High Energy Physics Early Career Research program [DE-SC0025324, DE-SC0021187]; Research Corporation for Science Advancement (RCSA) [CS-CSA-2023-109]; Alfred P. Sloan Foundation [FG-2023-20452]; U.S. Department of Energy, Office of Science, Office of High Energy Physics [DE-SC0023365]; NSF ACCESS [PHY240298]; DOE, Office of Science, Office of High Energy Physics [DE-SC0023365, DE-SC0011925]; DOE Office of Science, Office of High Energy Physics "Designing efficient edge AI with physics phenomena" Project [DE-FOA-0002705]; Swiss National Science Foundation [PZ00P2_201594]; Ryan Fellowship; International Institute for Nanotechnology at Northwestern University; Swiss National Science Foundation (SNF) [PZ00P2_201594] Funding Source: Swiss National Science Foundation (SNF)
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science  
Naslov Parallel Algorithm for Solving Dipolar Gross-Pitaevskii Equation (Proceedings Paper)
Autori Vudragovic Dusan  Loncar Vladimir  Balaz Antun 
Info LARGE-SCALE SCIENTIFIC COMPUTATIONS, LSSC 2025, (2026), vol. 16061 br. , str. 444-451
Projekat Institute of Physics Belgrade from the Ministry of Science, Technological Development, and Innovations of the Republic of Serbia; EuroHPC Joint Undertaking through the EuroCC4SEE project [101191697]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs (Article)
Autori Sun Chang  Que Zhiqiang  Loncar Vladimir  Luk Wayne  Spiropulu Maria 
Info ACM TRANSACTIONS ON RECONFIGURABLE TECHNOLOGY AND SYSTEMS, (2026), vol. 19 br. 1, str. -
Projekat U.S. Department of Energy (DOE) , Office of Science, Office of High Energy Physics [DE-SC0011925]; NSF ACCESS [PHY240298]; United Kingdom EPSRC [UKRI256, EP/V028251/1, EP/N031768/1, EP/S030069/1, EP/X036006/1]; Eric & Wendy Schmidt Fund for Strategic Innovation through the CERN Next Generation Triggers project [SIF-2023-004]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov It's not a FAD: first demonstration of flows for unsupervised anomaly detection at 40 MHz for use at the Large Hadron Collider (Article)
Autori Vaselli Francesco  Sun Chang  Aarrestad Thea  Danopoulos Dimitrios  Oskari Niemi Roope  Mikolaj Glowacki Maciej  Govorkova Katya  Loncar Vladimir  Pantaleo Felice  Pierini Maurizio 
Info MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2026), vol. 7 br. 2, str. -
Projekat NSF [PHY240298]; Eric & Wendy Schmidt Fund for Strategic Innovation [SIF-2023-004]; U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics [DE-SC0011925]; Open Access Publishing Fund of the Scuola Normale Superiore
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAs (Proceedings Paper)
Autori Sun Chang  Que Zhiqiang  Arrestad Thea  Loncar Vladimir  Ngadiuba Jennifer  Luk Wayne  Spiropulu Maria 
Info PROCEEDINGS OF THE 2026 ACM/SIGDA INTERNATIONAL SYMPOSIUM ON FIELD PROGRAMMABLE GATE ARRAYS, FPGA 2026, (2026), vol. br. , str. 79-91
Projekat United States DoE [DE-SC0011925, DE-FOA-0002705]; NSF [PHY240298, PHY2117997]; United Kingdom EPSRC [UKRI256, EP/V028251/1, EP/N031768/1, EP/S030069/1, EP/X036006/1]; Swiss NSF [PZ00P2_201594]; Schmidt Futures [G-23-64934]; KIAT; Intel; AMD; Caltech Danny Koh graduate student scholarship; ETH/Guenther Dissertori
Ispravka ISI/Web of Science   Članak  
Naslov Low latency transformer inference on FPGAs for physics applications with hls4ml (Article)
Autori Jiang Zhixing  Yin Dennis  Chen Yihui  Khoda Elham E  Hauck Scott  Hsu Shih Chieh  Govorkova Ekaterina  Harris Philip  Loncar Vladimir  Moreno Eric A 
Info JOURNAL OF INSTRUMENTATION, (2025), vol. 20 br. 4, str. -
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression (Article)
Autori Tsoi Ho Fung  Loncar Vladimir  Dasu Sridhara  Harris Philip 
Info MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2025), vol. 6 br. 1, str. -
Projekat High Energy Physicshttp://dx.doi.org/10.13039/100006208 [DE-SC0017647]; U S Department of Energy [A3D3]; NSF Institute for Accelerated AI Algorithms for Data-Driven Discovery [PHY-2117997]; NSF [PHY-2019786]; Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), under the NSF
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Ultrafast jet classification at the HL-LHC (Article)
Autori Odagiu Patrick  ...  Loncar Vladimir  ...  (broj koautora 16) 
Info MACHINE LEARNING-SCIENCE AND TECHNOLOGY, (2024), vol. 5 br. 3, str. -
Projekat NSF; Swiss National Science Foundation [PZ00P2_201594]; European Research Council (ERC) under the European Union [966696]; U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics Early Career Research program [DE-SC0021187]; CAPES; CNPq; FAPERJ; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [EXC 2121, 390833306]; Fermi Research Alliance, LLC [DE-AC02-07CH11359]; Department of Energy (DOE), Office of Science, Office of High Energy Physics; U.S. Department of Energy (DOE), Office of Science, Office of High Energy Physics 'Designing efficient edge AI with physics phenomena' Project [DE-FOA-0002705]; United Kingdom EPSRC [EP/V028251/1, EP/L016796/1, EP/N031768/1, EP/P010040/1, EP/S030069/1]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Symbolic Regression on FPGAs for Fast Machine Learning Inference (Proceedings Paper)
Autori Tsoi Ho Fung  Pol Adrian Alan  Loncar Vladimir  Govorkova Ekaterina  Cranmer Miles  Dasu Sridhara  Elmer Peter  Harris Philip  Ojalvo Isobel  Pierini Maurizio 
Info 26TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS, CHEP 2023, (2024), vol. 295 br. , str. -
Projekat U.S. Department of Energy [DE-SC0017647]; Eric and Wendy Schmidt Transformative Technology Fund [A3D3, NSF 2117997]; European Research Council (ERC) under the European Union [772369]
Ispravka ISI/Web of Science   Članak   Elečas  
Ispis zapisa u formatu:TXT | BibTeX