Michaela Blott

102 papers A* 2A 9B 8C 1Misc 3Journal 53Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of FPGA-based 3D CNN Accelerators and Hardware-aware Algorithmic Optimizations.
ACM Comput. Surv.
Dana Diaconu, Xue Lin, Michaela Blott, Miriam Leeser
2026 J jnl
FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design.
CoRR
Jiahao Zhang, Zifan He, Nicholas Fraser, Michaela Blott, Yizhou Sun, Jason Cong
2025 B conf
FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMS.
FPL
Shashwat Khandelwal, Jakoba Petri-Koenig, Thomas B. Preußer, Michaela Blott, Shanker Shreejith
2025 J jnl
FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs.
CoRR
Shashwat Khandelwal, Jakoba Petri-Koenig, Thomas B. Preußer, Michaela Blott, Shreejith Shanker
2025 J jnl
Improving Quantization with Post-Training Model Expansion.
CoRR
Giuseppe Franco, Pablo Monteagudo-Lago, Ian Colbert, Nicholas J. Fraser, Michaela Blott
2025 J jnl
SIRA: Scaled-Integer Range Analysis for Optimizing FPGA Dataflow Neural Network Accelerators.
CoRR
Yaman Umuroglu, Christoph Berganski, Felix Jentzsch, Michal Danilowicz, Tomasz Kryjak, Charalampos Bezaitis, Magnus Själander, Ian Colbert, Thomas B. Preußer, Jakoba Petri-Koenig, Michaela Blott
2024 A* conf
ACCL+: an FPGA-Based Collective Engine for Distributed Applications.
OSDI
Zhenhao He, Dario Korolija, Yu Zhu, Benjamin Ramhorst, Tristan Laan, Lucian Petrica, Michaela Blott, Gustavo Alonso
2024 J jnl
Corrigendum: Applications and techniques for fast machine learning in science.
Frontiers Big Data
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton
2024 J jnl
EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators.
IEEE Trans. Computers
Lois Orosa, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gómez-Luna, Michaela Blott, Kees A. Vissers, Onur Mutlu
2024 J jnl
High-efficiency Compressor Trees for Latest AMD FPGAs.
ACM Trans. Reconfigurable Technol. Syst.
Konstantin Hoßfeld, Hans Jakob Damsgaard, Jari Nurmi, Michaela Blott, Thomas B. Preußer
2024 J jnl
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics.
ACM Trans. Embed. Comput. Syst.
Zhiqiang Que, Hongxiang Fan, Marcus Loo, He Li, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
2024 — conf
Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL.
Euro-Par (2)
Marius Meyer, Tobias Kenter, Lucian Petrica, Kenneth O'Brien, Michaela Blott, Christian Plessl
2024 J jnl
Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL.
CoRR
Marius Meyer, Tobias Kenter, Lucian Petrica, Kenneth O'Brien, Michaela Blott, Christian Plessl
2024 B conf
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs.
FPL
Shivam Aggarwal, Hans Jakob Damsgaard, Alessandro Pappalardo, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra
2023 J jnl
ACCL+: an FPGA-Based Collective Engine for Distributed Applications.
CoRR
Zhenhao He, Dario Korolija, Yu Zhu, Benjamin Ramhorst, Tristan Laan, Lucian Petrica, Michaela Blott, Gustavo Alonso
2023 J jnl
AMNES: Accelerating the computation of data correlation using FPGAs.
Proc. VLDB Endow.
Monica Chiosa, Thomas B. Preußer, Michaela Blott, Gustavo Alonso
2023 J jnl
Fault-Tolerant Neural Network Accelerators With Selective TMR.
IEEE Des. Test
Timoteo García Bertoa, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, John McAllister
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I
PKDD/ECML Workshops (1)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II
PKDD/ECML Workshops (2)
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023 J jnl
On the RTL Implementation of FINN Matrix Vector Unit.
ACM Trans. Embed. Comput. Syst.
Syed Asad Alam, David Gregg, Giulio Gambardella, Thomas B. Preußer, Michaela Blott
2023 J jnl
Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs.
CoRR
Shivam Aggarwal, Alessandro Pappalardo, Hans Jakob Damsgaard, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra
2022 J jnl
Applications and Techniques for Fast Machine Learning in Science.
Frontiers Big Data
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton
2022 J jnl
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators.
CoRR
Lois Orosa, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gómez-Luna, Michaela Blott, Kees A. Vissers, Onur Mutlu
2022 J jnl
Elastic-DF: Scaling Performance of DNN Inference in FPGA Clouds through Automatic Partitioning.
ACM Trans. Reconfigurable Technol. Syst.
Tobias Alonso, Lucian Petrica, Mario Ruiz, Jakoba Petri-Koenig, Yaman Umuroglu, Ioannis Stamelos, Elias Koromilas, Michaela Blott, Kees A. Vissers
2022 J jnl
Evaluating Theoretical Baselines for ML Benchmarking Across Different Accelerators.
IEEE Des. Test
Michaela Blott, Alina Vasilciuc, Miriam Leeser, Linda Doyle
2022 J jnl
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays.
CoRR
Pedro J. Freire, Sasipim Srivallapanondh, Michael Anderson, Bernhard Spinnler, Thomas Bex, Tobias A. Eriksson, Antonio Napoli, Wolfgang Schairer, Nelson Costa, Michaela Blott, Sergei K. Turitsyn, Jaroslaw E. Prilepsky
2022 J jnl
LL-GNN: Low Latency Graph Neural Networks on FPGAs for Particle Detectors.
CoRR
Zhiqiang Que, Marcus Loo, Hongxiang Fan, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
2022 — conf
Machine Learning Aided Hardware Resource Estimation for FPGA DNN Implementations.
IPDPS Workshops
Dana Diaconu, Lucian Petrica, Michaela Blott, Miriam Leeser
2022 J jnl
On the RTL Implementation of FINN Matrix Vector Compute Unit.
CoRR
Syed Asad Alam, David Gregg, Giulio Gambardella, Michael Preußer, Michaela Blott
2022 J jnl
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark.
CoRR
Hendrik Borras, Giuseppe Di Guglielmo, Javier M. Duarte, Nicolò Ghielmetti, Benjamin Hawks, Scott Hauck, Shih-Chieh Hsu, Ryan Kastner, Jason Liang, Andres Meza, Jules Muhizi, Tai Nguyen, Rushil Roy, Nhan Tran, Yaman Umuroglu, Olivia Weng, Aidan Yokuda, Michaela Blott
2022 J jnl
QONNX: Representing Arbitrary-Precision Quantized Neural Networks.
CoRR
Alessandro Pappalardo, Yaman Umuroglu, Michaela Blott, Jovan Mitrevski, Benjamin Hawks, Nhan Tran, Vladimir Loncar, Sioni Summers, Hendrik Borras, Jules Muhizi, Matthew Trahms, Shih-Chieh Hsu, Scott Hauck, Javier M. Duarte
2022 J jnl
RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures.
IEEE Micro
Felix Jentzsch, Yaman Umuroglu, Alessandro Pappalardo, Michaela Blott, Marco Platzner
2022 J jnl
Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems.
CoRR
Pedro J. Freire, Michael Anderson, Bernhard Spinnler, Thomas Bex, Jaroslaw E. Prilepsky, Tobias A. Eriksson, Nelson Costa, Wolfgang Schairer, Michaela Blott, Antonio Napoli, Sergei K. Turitsyn
2021 — conf
ACCL: FPGA-Accelerated Collectives over 100 Gbps TCP-IP.
H2RC@SC
Zhenhao He, Daniele Parravicini, Lucian Petrica, Kenneth O'Brien, Gustavo Alonso, Michaela Blott
2021 J jnl
Applications and Techniques for Fast Machine Learning in Science.
CoRR
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey D. Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric A. Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan S. Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng
2021 — —
Benchmarking Neural Networks on Heterogeneous Hardware.
Michaela Blott
2021 J jnl
Benchmarking vision kernels and neural network inference accelerators on embedded platforms.
J. Syst. Archit.
Murad Qasaimeh, Kristof Denolf, Alireza Khodamoradi, Michaela Blott, Jack Lo, Lisa Halder, Kees A. Vissers, Joseph Zambreno, Phillip H. Jones
2021 J jnl
Evaluation of Optimized CNNs on Heterogeneous Accelerators Using a Novel Benchmarking Approach.
IEEE Trans. Computers
Michaela Blott, Nicholas J. Fraser, Giulio Gambardella, Lisa Halder, Johannes Kath, Zachary Neveu, Yaman Umuroglu, Alina Vasilciuc, Miriam Leeser, Linda Doyle
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
PKDD/ECML Workshops (1)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
PKDD/ECML Workshops (2)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — conf
Optimized Implementation of the HPCG Benchmark on Reconfigurable Hardware.
Euro-Par
Alberto Zeni, Kenneth O'Brien, Michaela Blott, Marco D. Santambrogio
2021 J jnl
Performance vs. hardware requirements in state-of-the-art automatic speech recognition.
EURASIP J. Audio Speech Music. Process.
Alexandru-Lucian Georgescu, Alessandro Pappalardo, Horia Cucu, Michaela Blott
2020 — conf
DarwiNN: efficient distributed neuroevolution under communication constraints.
GECCO Companion
Gurshaant Singh Malik, Lucian Petrica, Nachiket Kapre, Michaela Blott
2020 A conf
Evaluation of Optimized CNNs on FPGA and non-FPGA based Accelerators using a Novel Benchmarking Approach.
FPGA
Michaela Blott, Johannes Kath, Lisa Halder, Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Miriam Leeser, Linda Doyle
2020 J jnl
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA.
CoRR
Mairin Kroes, Lucian Petrica, Sorin Cotofana, Michaela Blott
2020 A conf
Evolutionary bin packing for memory-efficient dataflow inference acceleration on FPGA.
GECCO
Mairin Kroes, Lucian Petrica, Sorin Cotofana, Michaela Blott
2020 A conf
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults.
ITC
Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees A. Vissers
2020 J jnl
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults.
CoRR
Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees A. Vissers
2020 Misc conf
High-Throughput DNN Inference with LogicNets.
FCCM
Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
2020 — ed.
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers
IoT Streams/ITEM@PKDD/ECML
João Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchaweh, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott
2020 A conf
LPAC: A Low-Precision Accelerator for CNN on FPGAs.
FPGA
Tianyu Zhang, Tiantian Han, Lu Tian, Yi Li, Xijie Jia, Guangdong Liu, Pingbo An, Yingran Tan, Lingzhi Sui, Shaoxia Fang, Dongliang Xie, Michaela Blott, Yi Shan
2020 B conf
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications.
FPL
Yaman Umuroglu, Yash Akhauri, Nicholas James Fraser, Michaela Blott
2020 J jnl
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications.
CoRR
Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
2020 — conf
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA.
FPT
Lucian Petrica, Tobias Alonso, Mairin Kroes, Nicholas J. Fraser, Sorin Cotofana, Michaela Blott
2020 J jnl
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA.
CoRR
Lucian Petrica, Tobias Alonso, Mairin Kroes, Nicholas J. Fraser, Sorin Cotofana, Michaela Blott
2019 — conf
Efficient Error-Tolerant Quantized Neural Network Accelerators.
DFT
Giulio Gambardella, Johannes Kappauf, Michaela Blott, Christoph Doehring, Martin Kumm, Peter Zipf, Kees A. Vissers
2019 J jnl
Efficient Error-Tolerant Quantized Neural Network Accelerators.
CoRR
Giulio Gambardella, Johannes Kappauf, Michaela Blott, Christoph Doehring, Martin Kumm, Peter Zipf, Kees A. Vissers
2019 J jnl
QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware.
CoRR
Michaela Blott, Lisa Halder, Miriam Leeser, Linda Doyle
2019 J jnl
QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware.
ACM J. Emerg. Technol. Comput. Syst.
Michaela Blott, Lisa Halder, Miriam Leeser, Linda Doyle
2019 A conf
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs.
FPGA
Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
2018 — conf
Accuracy to Throughput Trade-Offs for Reduced Precision Neural Networks on Reconfigurable Logic.
ARC
Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
2018 J jnl
Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic.
CoRR
Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
2018 B conf
Customizing Low-Precision Deep Neural Networks for FPGAs.
FPL
Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland
2018 B conf
Designing scalable FPGA architectures using high-level synthesis.
PPoPP
Johannes de Fine Licht, Michaela Blott, Torsten Hoefler
2018 J jnl
FINN-
ACM Trans. Reconfigurable Technol. Syst.
Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser, Kees A. Vissers
2018 B conf
FINN-L: Library Extensions and Design Trade-Off Analysis for Variable Precision LSTM Networks on FPGAs.
FPL
Vladimir Rybalkin, Alessandro Pappalardo, Muhammad Mohsin Ghaffar, Giulio Gambardella, Norbert Wehn, Michaela Blott
2018 J jnl
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs.
CoRR
Vladimir Rybalkin, Alessandro Pappalardo, Muhammad Mohsin Ghaffar, Giulio Gambardella, Norbert Wehn, Michaela Blott
2018 J jnl
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks.
CoRR
Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu
2018 J jnl
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices.
CoRR
Thomas B. Preußer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott
2018 A conf
Inference of quantized neural networks on heterogeneous all-programmable devices.
DATE
Thomas B. Preußer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott
2018 J jnl
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks.
CoRR
Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip Heng Wai Leong
2018 A* conf
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks.
CVPR
Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong
2018 J jnl
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic.
CoRR
Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser
2018 J jnl
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs.
CoRR
Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
2017 A conf
Architectural optimizations for high performance and energy efficient Smith-Waterman implementation on FPGAs using OpenCL.
DATE
Lorenzo Di Tucci, Kenneth O'Brien, Michaela Blott, Marco D. Santambrogio
2017 — conf
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks.
ICONIP (2)
Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong
2017 J jnl
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks.
CoRR
Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong
2017 J jnl
Databases on Future Hardware (Dagstuhl Seminar 17101).
Dagstuhl Reports
Gustavo Alonso, Michaela Blott, Jens Teubner
2017 A conf
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference.
FPGA
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
2017 — conf
Scaling Binarized Neural Networks on Reconfigurable Logic.
PARMA-DITAM@HiPEAC
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
2017 J jnl
Scaling Binarized Neural Networks on Reconfigurable Logic.
CoRR
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
2017 C conf
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic.
ICCD
Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser
2017 A conf
Towards exascale computing with heterogeneous architectures.
DATE
Kenneth O'Brien, Lorenzo Di Tucci, Gianluca Durelli, Michaela Blott
2016 J jnl
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference.
CoRR
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
2016 — conf
On How to Improve FPGA-Based Systems Design Productivity via SDAccel.
IPDPS Workshops
Giulia Guidi, Enrico Reggiani, Lorenzo Di Tucci, Gianluca Durelli, Michaela Blott, Marco D. Santambrogio
2016 — conf
Reconfigurable future for HPC.
HPCS
Michaela Blott
2015 J jnl
A Hash Table for Line-Rate Data Processing.
ACM Trans. Reconfigurable Technol. Syst.
Zsolt István, Gustavo Alonso, Michaela Blott, Kees A. Vissers
2015 Misc conf
Scalable 10Gbps TCP/IP Stack Architecture for Reconfigurable Hardware.
FCCM
David Sidler, Gustavo Alonso, Michaela Blott, Kimon Karras, Kees A. Vissers, Raymond Carley
2015 — conf
Scaling Out to a Single-Node 80Gbps Memcached Server with 40Terabytes of Memory.
HotStorage
Michaela Blott, Ling Liu, Kimon Karras, Kees A. Vissers
2014 J jnl
High-Level Synthesis Case Study: Implementation of a Memcached Server.
CoRR
Kimon Karras, Michaela Blott, Kees A. Vissers
2014 J jnl
OSNT: open source network tester.
IEEE Netw.
Gianni Antichi, Muhammad Shahbaz, Yilong Geng, Noa Zilberman, G. Adam Covington, Marc Bruyere, Nick McKeown, Nick Feamster, Bob Felderman, Michaela Blott, Andrew W. Moore, Philippe Owezarski
2013 B conf
A flexible hash table design for 10GBPS key-value stores on FPGAS.
FPL
Zsolt István, Gustavo Alonso, Michaela Blott, Kees A. Vissers
2013 — conf
Achieving 10Gbps Line-rate Key-value Stores with FPGAs.
HotCloud
Michaela Blott, Kimon Karras, Ling Liu, Kees A. Vissers, Jeremia Bär, Zsolt István
2013 — conf
Architecture for an open source network tester.
ANCS
Muhammad Shahbaz, Gianni Antichi, Yilong Geng, Noa Zilberman, G. Adam Covington, Marc Bruyere, Nick Feamster, Nick McKeown, Bob Felderman, Michaela Blott, Andrew W. Moore, Philippe Owezarski
2013 — conf
Dataflow architectures for 10Gbps line-rate key-value-stores.
Hot Chips Symposium
Michaela Blott, Kees A. Vissers
2012 — conf
A Low-Latency Library in FPGA Hardware for High-Frequency Trading (HFT).
Hot Interconnects
John W. Lockwood, Adwait Gupte, Nishit Mehta, Michaela Blott, Tom English, Kees A. Vissers
2010 — conf
Design of a flexible high-speed FPGA-based flow monitor for next generation networks.
ICSAMOS
John McGlone, Roger F. Woods, Alan Marshall, Michaela Blott
2009 Misc conf
Architectural Comparison of Instruments for Transaction Level Monitoring of FPGA-Based Packet Processing Systems.
FCCM
Paul Edward McKechnie, Michaela Blott, Wim Vanderbauwhede
2009 — conf
Automated instrumentation of FPGA-based systems for system-level transaction monitoring.
SoC
Paul Edward McKechnie, Michaela Blott, Wim Vanderbauwhede
2009 B conf
Debugging FPGA-based packet processing systems through transaction-level communication-centric monitoring.
LCTES
Paul Edward McKechnie, Michaela Blott, Wim Vanderbauwhede
2001 J jnl
Starburst: Building next-generation internet devices.
Bell Labs Tech. J.
Ronald L. Sharp, Michaela Blott, Michael J. Coss, Bruce K. Ellis, David L. Majette, Vinay Purohit
1998 — conf
A Networked Frame Buffer with Windows Management Support.
EUROMEDIA
Michaela Blott, Hans Eberle