Michaela Blott

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 72

Top Topics

Hardware Architecture

Machine Learning

High Energy Physics

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Konstantin Hoßfeld, Hans Jakob Damsgaard, Jari Nurmi, Michaela Blott, Thomas B. Preußer
High-efficiency Compressor Trees for Latest AMD FPGAs. ACM Trans. Reconfigurable Technol. Syst. 17 (2) (2024)
Zhenhao He, Dario Korolija, Yu Zhu, Benjamin Ramhorst, Tristan Laan, Lucian Petrica, Michaela Blott, Gustavo Alonso
ACCL+: an FPGA-Based Collective Engine for Distributed Applications. OSDI (2024)
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
Corrigendum: Applications and techniques for fast machine learning in science. Frontiers Big Data 6 (2024)
Marius Meyer, Tobias Kenter, Lucian Petrica, Kenneth O'Brien, Michaela Blott, Christian Plessl
Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL. CoRR (2024)
Zhiqiang Que, Hongxiang Fan, Marcus Loo, He Li, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics. ACM Trans. Embed. Comput. Syst. 23 (2) (2024)
Lois Orosa, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gómez-Luna, Michaela Blott, Kees A. Vissers, Onur Mutlu
EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators. IEEE Trans. Computers 73 (9) (2024)
Timoteo García Bertoa, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, John McAllister
Fault-Tolerant Neural Network Accelerators With Selective TMR. IEEE Des. Test 40 (2) (2023)
Monica Chiosa, Thomas B. Preußer, Michaela Blott, Gustavo Alonso
AMNES: Accelerating the computation of data correlation using FPGAs. Proc. VLDB Endow. 16 (13) (2023)
Zhenhao He, Dario Korolija, Yu Zhu, Benjamin Ramhorst, Tristan Laan, Lucian Petrica, Michaela Blott, Gustavo Alonso
ACCL+: an FPGA-Based Collective Engine for Distributed Applications. CoRR (2023)
Syed Asad Alam, David Gregg, Giulio Gambardella, Thomas B. Preußer, Michaela Blott
On the RTL Implementation of FINN Matrix Vector Unit. ACM Trans. Embed. Comput. Syst. 22 (6) (2023)
Shivam Aggarwal, Alessandro Pappalardo, Hans Jakob Damsgaard, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra
Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs. CoRR (2023)
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
QONNX: Representing Arbitrary-Precision Quantized Neural Networks. CoRR (2022)
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
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark. CoRR (2022)
Michaela Blott, Alina Vasilciuc, Miriam Leeser, Linda Doyle
Evaluating Theoretical Baselines for ML Benchmarking Across Different Accelerators. IEEE Des. Test 39 (3) (2022)
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
Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays. CoRR (2022)
Zhiqiang Que, Marcus Loo, Hongxiang Fan, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
LL-GNN: Low Latency Graph Neural Networks on FPGAs for Particle Detectors. CoRR (2022)
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
Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems. CoRR (2022)
Dana Diaconu, Lucian Petrica, Michaela Blott, Miriam Leeser
Machine Learning Aided Hardware Resource Estimation for FPGA DNN Implementations. IPDPS Workshops (2022)
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
Applications and Techniques for Fast Machine Learning in Science. Frontiers Big Data 5 (2022)
Lois Orosa, Skanda Koppula, Yaman Umuroglu, Konstantinos Kanellopoulos, Juan Gómez-Luna, Michaela Blott, Kees A. Vissers, Onur Mutlu
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators. CoRR (2022)
Syed Asad Alam, David Gregg, Giulio Gambardella, Michael Preußer, Michaela Blott
On the RTL Implementation of FINN Matrix Vector Compute Unit. CoRR (2022)
Felix Jentzsch, Yaman Umuroglu, Alessandro Pappalardo, Michaela Blott, Marco Platzner
RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures. IEEE Micro 42 (6) (2022)
Tobias Alonso, Lucian Petrica, Mario Ruiz, Jakoba Petri-Koenig, Yaman Umuroglu, Ioannis Stamelos, Elias Koromilas, Michaela Blott, Kees A. Vissers
Elastic-DF: Scaling Performance of DNN Inference in FPGA Clouds through Automatic Partitioning. ACM Trans. Reconfigurable Technol. Syst. 15 (2) (2022)
Alberto Zeni, Kenneth O'Brien, Michaela Blott, Marco D. Santambrogio
Optimized Implementation of the HPCG Benchmark on Reconfigurable Hardware. Euro-Par (2021)
Zhenhao He, Daniele Parravicini, Lucian Petrica, Kenneth O'Brien, Gustavo Alonso, Michaela Blott
ACCL: FPGA-Accelerated Collectives over 100 Gbps TCP-IP. H2RC@SC (2021)
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, Tomas E. Muller 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 Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng
Applications and Techniques for Fast Machine Learning in Science. CoRR (2021)
Michaela Blott, Nicholas J. Fraser, Giulio Gambardella, Lisa Halder, Johannes Kath, Zachary Neveu, Yaman Umuroglu, Alina Vasilciuc, Miriam Leeser, Linda Doyle
Evaluation of Optimized CNNs on Heterogeneous Accelerators Using a Novel Benchmarking Approach. IEEE Trans. Computers 70 (10) (2021)
Alexandru-Lucian Georgescu, Alessandro Pappalardo, Horia Cucu, Michaela Blott
Performance vs. hardware requirements in state-of-the-art automatic speech recognition. EURASIP J. Audio Speech Music. Process. 2021 (1) (2021)
Murad Qasaimeh, Kristof Denolf, Alireza Khodamoradi, Michaela Blott, Jack Lo, Lisa Halder, Kees A. Vissers, Joseph Zambreno, Phillip H. Jones
Benchmarking vision kernels and neural network inference accelerators on embedded platforms. J. Syst. Archit. 113 (2021)
Yaman Umuroglu, Yash Akhauri, Nicholas James Fraser, Michaela Blott
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. FPL (2020)
Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees A. Vissers
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults. CoRR (2020)
Mairin Kroes, Lucian Petrica, Sorin Cotofana, Michaela Blott
Evolutionary Bin Packing for Memory-Efficient Dataflow Inference Acceleration on FPGA. CoRR (2020)
Michaela Blott, Johannes Kath, Lisa Halder, Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Miriam Leeser, Linda Doyle
Evaluation of Optimized CNNs on FPGA and non-FPGA based Accelerators using a Novel Benchmarking Approach. FPGA (2020)
Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
High-Throughput DNN Inference with LogicNets. FCCM (2020)
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
LPAC: A Low-Precision Accelerator for CNN on FPGAs. FPGA (2020)
Mairin Kroes, Lucian Petrica, Sorin Cotofana, Michaela Blott
Evolutionary bin packing for memory-efficient dataflow inference acceleration on FPGA. GECCO (2020)
Gurshaant Singh Malik, Lucian Petrica, Nachiket Kapre, Michaela Blott
DarwiNN: efficient distributed neuroevolution under communication constraints. GECCO Companion (2020)
Lucian Petrica, Tobias Alonso, Mairin Kroes, Nicholas J. Fraser, Sorin Cotofana, Michaela Blott
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA. FPT (2020)
Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees A. Vissers
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults. ITC (2020)
Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. CoRR (2020)
Lucian Petrica, Tobias Alonso, Mairin Kroes, Nicholas J. Fraser, Sorin Cotofana, Michaela Blott
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA. CoRR (2020)
Giulio Gambardella, Johannes Kappauf, Michaela Blott, Christoph Doehring, Martin Kumm, Peter Zipf, Kees A. Vissers
Efficient Error-Tolerant Quantized Neural Network Accelerators. DFT (2019)
Michaela Blott, Lisa Halder, Miriam Leeser, Linda Doyle
QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware. ACM J. Emerg. Technol. Comput. Syst. 15 (4) (2019)
Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. FPGA (2019)
Michaela Blott, Lisa Halder, Miriam Leeser, Linda Doyle
QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware. CoRR (2019)
Giulio Gambardella, Johannes Kappauf, Michaela Blott, Christoph Doehring, Martin Kumm, Peter Zipf, Kees A. Vissers
Efficient Error-Tolerant Quantized Neural Network Accelerators. CoRR (2019)
Yifan Yang, Qijing Huang, Bichen Wu, Tianjun Zhang, Liang Ma, Giulio Gambardella, Michaela Blott, Luciano Lavagno, Kees A. Vissers, John Wawrzynek, Kurt Keutzer
Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs. CoRR (2018)
Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
Accuracy to Throughput Trade-Offs for Reduced Precision Neural Networks on Reconfigurable Logic. ARC (2018)
Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks. CoRR (2018)
Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. CVPR (2018)
Thomas B. Preußer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott
Inference of quantized neural networks on heterogeneous all-programmable devices. DATE (2018)
Johannes de Fine Licht, Michaela Blott, Torsten Hoefler
Designing scalable FPGA architectures using high-level synthesis. PPOPP (2018)
Vladimir Rybalkin, Alessandro Pappalardo, Muhammad Mohsin Ghaffar, Giulio Gambardella, Norbert Wehn, Michaela Blott
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs. CoRR (2018)
Vladimir Rybalkin, Alessandro Pappalardo, Muhammad Mohsin Ghaffar, Giulio Gambardella, Norbert Wehn, Michaela Blott
FINN-L: Library Extensions and Design Trade-Off Analysis for Variable Precision LSTM Networks on FPGAs. FPL (2018)
Thomas B. Preußer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices. CoRR (2018)
Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. CoRR (2018)
Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser, Kees A. Vissers
: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 11 (3) (2018)
Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung
Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic. CoRR (2018)
Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip Heng Wai Leong
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks. CoRR (2018)
Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland
Customizing Low-Precision Deep Neural Networks for FPGAs. FPL (2018)
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
Scaling Binarized Neural Networks on Reconfigurable Logic. CoRR (2017)
Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. ICONIP (2) (2017)
Kenneth O'Brien, Lorenzo Di Tucci, Gianluca Durelli, Michaela Blott
Towards exascale computing with heterogeneous architectures. DATE (2017)
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
Scaling Binarized Neural Networks on Reconfigurable Logic. PARMA-DITAM@HiPEAC (2017)
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. FPGA (2017)
Lorenzo Di Tucci, Kenneth O'Brien, Michaela Blott, Marco D. Santambrogio
Architectural optimizations for high performance and energy efficient Smith-Waterman implementation on FPGAs using OpenCL. DATE (2017)
Gustavo Alonso, Michaela Blott, Jens Teubner
Databases on Future Hardware (Dagstuhl Seminar 17101). Dagstuhl Reports 7 (3) (2017)
Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. CoRR (2017)
Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. ICCD (2017)
Giulia Guidi, Enrico Reggiani, Lorenzo Di Tucci, Gianluca Durelli, Michaela Blott, Marco D. Santambrogio
On How to Improve FPGA-Based Systems Design Productivity via SDAccel. IPDPS Workshops (2016)
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong, Magnus Jahre, Kees A. Vissers
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. CoRR (2016)
Michaela Blott
Reconfigurable future for HPC. HPCS (2016)
Michaela Blott, Ling Liu, Kimon Karras, Kees A. Vissers
Scaling Out to a Single-Node 80Gbps Memcached Server with 40Terabytes of Memory. HotStorage (2015)
David Sidler, Gustavo Alonso, Michaela Blott, Kimon Karras, Kees A. Vissers, Raymond Carley
Scalable 10Gbps TCP/IP Stack Architecture for Reconfigurable Hardware. FCCM (2015)
Zsolt István, Gustavo Alonso, Michaela Blott, Kees A. Vissers
A Hash Table for Line-Rate Data Processing. ACM Trans. Reconfigurable Technol. Syst. 8 (2) (2015)
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
OSNT: open source network tester. IEEE Netw. 28 (5) (2014)
Kimon Karras, Michaela Blott, Kees A. Vissers
High-Level Synthesis Case Study: Implementation of a Memcached Server. CoRR (2014)
Michaela Blott, Kees A. Vissers
Dataflow architectures for 10Gbps line-rate key-value-stores. Hot Chips Symposium (2013)
Zsolt István, Gustavo Alonso, Michaela Blott, Kees A. Vissers
A flexible hash table design for 10GBPS key-value stores on FPGAS. FPL (2013)
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
Architecture for an open source network tester. ANCS (2013)
Michaela Blott, Kimon Karras, Ling Liu, Kees A. Vissers, Jeremia Bär, Zsolt István
Achieving 10Gbps Line-rate Key-value Stores with FPGAs. HotCloud (2013)
John W. Lockwood, Adwait Gupte, Nishit Mehta, Michaela Blott, Tom English, Kees A. Vissers
A Low-Latency Library in FPGA Hardware for High-Frequency Trading (HFT). Hot Interconnects (2012)
John McGlone, Roger F. Woods, Alan Marshall, Michaela Blott
Design of a flexible high-speed FPGA-based flow monitor for next generation networks. ICSAMOS (2010)
Paul Edward McKechnie, Michaela Blott, Wim Vanderbauwhede
Architectural Comparison of Instruments for Transaction Level Monitoring of FPGA-Based Packet Processing Systems. FCCM (2009)
Paul Edward McKechnie, Michaela Blott, Wim Vanderbauwhede
Automated instrumentation of FPGA-based systems for system-level transaction monitoring. SoC (2009)
Paul Edward McKechnie, Michaela Blott, Wim Vanderbauwhede
Debugging FPGA-based packet processing systems through transaction-level communication-centric monitoring. LCTES (2009)
Ronald L. Sharp, Michaela Blott, Michael J. Coss, Bruce K. Ellis, David L. Majette, Vinay Purohit
Starburst: Building next-generation internet devices. Bell Labs Tech. J. 6 (2) (2001)
Michaela Blott, Hans Eberle
A Networked Frame Buffer with Windows Management Support. EUROMEDIA (1998)