Autori: Sun Chang
| 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 | AIE4ML: An End-to-End Framework for Compiling Neural Networks for the Next Generation of AMD AI Engines (Proceedings Paper) |
| Autori | Danopoulos Dimitrios Lupi Enrico Sun Chang Dittmeier Sebastian Kagan Michael Loncar Vladimir Pierini Maurizio |
| Info | 2026 IEEE 34TH ANNUAL INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES, FCCM, (2026), vol. br. , str. 176-184 |
| Projekat | Eric & Wendy Schmidt Fund for Strategic Innovation through the CERN Next Generation Triggers project [SIF-2023-004]; US Department of Energy (DOE) [DE-AC02-76SF00515]; German Federal Ministry for Research, Technology and Space (BMFTR) |
| Ispravka | ISI/Web of Science Članak 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 |
