Manuel Eggimann - ETH Zürich, Zürich, Switzerland

基本信息

Career Trajectory

Bio

Manuel Eggimann (Graduate Student Member, IEEE) received the B.Sc. and M.Sc. degrees in electrical engineering and information technology from ETH Zurich, Switzerland, in 2018. He is currently pursuing the Ph.D. degree with the Integrated Systems Laboratory, ETH Zürich. His research interests include low-power hardware design, edge-computing, and energy efficient SoC interconnect architectures. He was a recipient of the Best Paper Award at the 2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces.

Research Interests

Papers共 21 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83% FPU Utilization Dual-Chiplet, Dual-HBM2E RISC-V-based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET

Gianna Paulin,Paul Scheffler,Thomas Benz,Matheus A. Cavalcante,Tim Fischer,Manuel Eggimann,Yichao Zhang,Nils Wistoff,Luca Bertaccini,Luca Colagrande,Gianmarco Ottavi,Frank K. Gürkaynak,Davide Rossi,Luca Benini

Symposium on VLSI Technologypp.1-2, (2024)

Cited0Views0EIWOSBibtex

Occamy: A 432-Core 28.1 DP-GFLOP/s/W 83 Dual-HBM2E RISC-V-based Accelerator for Stencil and Sparse Linear Algebra Computations with 8-to-64-bit Floating-Point Support in 12nm FinFET

Gianna Paulin,Paul Scheffler,Thomas Benz,Matheus Cavalcante,Tim Fischer,Manuel Eggimann,Yichao Zhang,Nils Wistoff,Luca Bertaccini,Luca Colagrande,Gianmarco Ottavi,Frank K. Gürkaynak, Davide Rossi,Luca Benini

arxiv（2024）

Cited0Views0Bibtex

Siracusa: A 16 Nm Heterogenous RISC-V SoC for Extended Reality with At-MRAM Neural Engine

Arpan Suravi Prasad,Moritz Scherer,Francesco Conti,Davide Rossi,Alfio Di Mauro,Manuel Eggimann,Jorge Tomas Gomez,Ziyun Li,Syed Shakib Sarwar, Zhao Wang,Barbara De Salvo,Luca Benini

IEEE JOURNAL OF SOLID-STATE CIRCUITSno. 7 (2024): 2055-2069

Cited0Views0EIWOSBibtex

Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC with 2-to-8b DNN Acceleration and 30%-Boost Adaptive Body Biasing

Francesco Conti,Gianna Paulin,Angelo Garofalo,Davide Rossi,Alfio Di Mauro,Georg Rutishauser,Gianmarco Ottavi,Manuel Eggimann,Hayate Okuhara,Luca Benini

IEEE JOURNAL OF SOLID-STATE CIRCUITSno. 1 (2024): 128-142

Cited0Views0EIWOSBibtex

Noninvasive Urinary Bladder Volume Estimation with Artifact-Suppressed Bioimpedance Measurements

Kanika Dheman,Stefan Walser,Philipp Mayer,Manuel Eggimann,Marko Kozomara, Denise Franke,Thomas Hermanns,Hugo Sax,Simone Schurle,Michele Magno

IEEE SENSORS JOURNALno. 2 (2024): 1633-1643

Cited0Views0EIWOSBibtex

PELS: A Lightweight and Flexible Peripheral Event Linking System for Ultra-Low Power IoT Processors

Alessandro Ottaviano,Robert Balas,Philippe Sauter,Manuel Eggimann,Luca Benini

2024 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE（2024）

Cited0Views0EIWOSBibtex

22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing

Francesco Conti,Davide Rossi,Gianna Paulin,Angelo Garofalo,Alfio Di Mauro,Georg Rutishauer,Gian marco Ottavi,Manuel Eggimann,Hayate Okuhara,Vincent Huard,Olivier Montfort,Lionel Jure,Nils Exibard,Pascal Gouedo,Mathieu Louvat, Emmanuel Botte,Luca Benini

IEEE International Solid-State Circuits Conferencepp.21-23, (2023)

Cited6Views0EIWOSBibtex

Siracusa: A Low-Power On-Sensor RISC-V SoC for Extended Reality Visual Processing in 16nm CMOS

Moritz Scherer,Manuel Eggimann,Alfio Di Mauro,Arpan Suravi Prasad,Francesco Conti,Davide Rossi,Jorge Tomas Gomez,Ziyun Li,Syed Shakib Sarwar, Zhao Wang,Barbara De Salvo,Luca Benini

IEEE 49TH EUROPEAN SOLID STATE CIRCUITS CONFERENCE, ESSCIRC 2023pp.217-220, (2023)

Cited0Views0EIWOSBibtex

64-Kb 65-Nm GC-eDRAM with Half-Select Support and Parallel Refresh Technique

Odem Harel,Emmanuel Nieto Casarrubias,Manuel Eggimann,Frank Gurkaynak,Luca Benini,Adam Teman,Robert Giterman,Andreas Burg

IEEE solid-state circuits letters（2022）

Cited2Views0EIWOSBibtex

Towards Artefact-Free Bio-Impedance Measurements: Evaluation, Identification and Suppression of Artefacts at Multiple Frequencies

Kanika Dheman,Philipp Mayer,Manuel Eggimann,Michele Magno,Simone Schuerle

IEEE Sensors Journalno. 1 (2021): 589-600

Cited3Views0EIWOSBibtex

Author Statistics

Co-Author

Co-Institution

D-Core

合作者
学生
导师

No result temporarily, you can search similar Scholar with the same research interest

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn