Michaela Blott

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All published works

Action	Title	Year	Authors
+ PDF Chat	Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL	2024	Marius Meyer Tobias Kenter Lucian Petrică Kenneth M. O'Brien Michaela Blott Christian Pessl
+ PDF Chat	Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays	2023	Pedro J. Freire Sasipim Srivallapanondh Michael Anderson Bernhard Spinnler Thomas Bex Tobias A. Eriksson Antonio Napoli Wolfgang Schairer Nelson Costa Michaela Blott
+	Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs	2023	Shivam Aggarwal Alessandro Pappalardo Hans Jakob Damsgaard Giuseppe Franco Thomas B. Preußer Michaela Blott Tulika Mitra
+	ACCL+: an FPGA-Based Collective Engine for Distributed Applications	2023	Zhenhao He Dario Korolija Yu Zhu Benjamin Ramhorst Tristan Laan Lucian Petrică Michaela Blott Gustavo Alonso
+ PDF Chat	Applications and Techniques for Fast Machine Learning in Science	2022	A. M. Deiana Nhan Viet Tran Joshua Agar Michaela Blott Giuseppe Di Guglielmo J. Duarte Philip Harris Scott Hauck Mia Liu M. S. Neubauer
+	On the RTL Implementation of FINN Matrix Vector Compute Unit	2022	Syed Asad Alam David Gregg Giulio Gambardella Thomas B. Preußer Michaela Blott
+	EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators	2022	Lois Orosa Skanda Koppula Yaman Umuroglu Konstantinos Kanellopoulos Juan Gómez-Luna Michaela Blott Kees Vissers Onur Mutlu
+	QONNX: Representing Arbitrary-Precision Quantized Neural Networks	2022	Alessandro Pappalardo Yaman Umuroglu Michaela Blott Jovan Mitrevski Benjamin Hawks Nhan Viet Tran Vladimir Lončar S. Summers Hendrik Borras Jules Muhizi
+	Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark	2022	Hendrik Borras Giuseppe Di Guglielmo J. Duarte Nicolò Ghielmetti Benjamin Hawks Scott Hauck S.‐C. Hsu Ryan Kastner Jason Liang Andres Meza
+	Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems	2022	Pedro J. Freire M. Anderson Bernhard Spinnler Thomas Bex Jaroslaw E. Prilepsky Tobias A. Eriksson Nelson Costa Wolfgang Schairer Michaela Blott Antonio Napoli
+	LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics	2022	Zhiqiang Que Hongxiang Fan Marcus H. Loo He Li Michaela Blott M. Pierini A. Tapper Wayne Luk
+	Implementing Neural Network-Based Equalizers in a Coherent Optical Transmission System Using Field-Programmable Gate Arrays	2022	Pedro J. Freire Sasipim Srivallapanondh M. Anderson Bernhard Spinnler Thomas Bex Tobias A. Eriksson Antonio Napoli Wolfgang Schairer Nelson Costa Michaela Blott
+	Applications and Techniques for Fast Machine Learning in Science	2021	A. M. Deiana Nhan Viet Tran Joshua Agar Michaela Blott Giuseppe Di Guglielmo J. Duarte Philip Harris Scott Hauck Mia Liu M. S. Neubauer
+ PDF Chat	Memory-Efficient Dataflow Inference for Deep CNNs on FPGA	2020	Lucian Petrică Tobías Alonso Mairin Kroes Nicholas J. Fraser Sorin Coţofană Michaela Blott
+	FAT: Training Neural Networks for Reliable Inference Under Hardware Faults	2020	Ussama Zahid Giulio Gambardella Nicholas J. Fraser Michaela Blott Kees Vissers
+ PDF Chat	FAT: Training Neural Networks for Reliable Inference Under Hardware Faults	2020	Ussama Zahid Giulio Gambardella Nicholas J. Fraser Michaela Blott Kees Vissers
+ PDF Chat	LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications	2020	Yaman Umuroglu Yash Akhauri Nicholas J. Fraser Michaela Blott
+ PDF Chat	Evolutionary bin packing for memory-efficient dataflow inference acceleration on FPGA	2020	Mairin Kroes Lucian Petrică Sorin Coţofană Michaela Blott
+	LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications	2020	Yaman Umuroglu Yash Akhauri Nicholas J. Fraser Michaela Blott
+ PDF Chat	Real-time machine learning based fiber-induced nonlinearity compensation in energy-efficient coherent optical networks	2020	Elias Giacoumidis Yi Lin Michaela Blott Liam P. Barry
+	Memory-Efficient Dataflow Inference for Deep CNNs on FPGA	2020	Lucian Petrică Tobías Alonso Mairin Kroes Nicholas C. Fraser Sorin Coţofană Michaela Blott
+	FAT: Training Neural Networks for Reliable Inference Under Hardware Faults	2020	Ussama Zahid Giulio Gambardella Nicholas J. Fraser Michaela Blott Kees Vissers
+	LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications	2020	Yaman Umuroglu Yash Akhauri Nicholas J. Fraser Michaela Blott
+	Real-Time Machine Learning Based Fiber-Induced Nonlinearity Compensation in Energy-Efficient Coherent Optical Networks	2019	Elias Giacoumidis Yi Lin Michaela Blott Liam P. Barry
+ PDF Chat	Efficient Error-Tolerant Quantized Neural Network Accelerators	2019	Giulio Gambardella Johannes Kappauf Michaela Blott Christoph Doehring Martin Kumm Peter Zipf Kees Vissers
+ PDF Chat	Synetgy	2019	Yifan Yang Qijing Huang Bichen Wu Tianjun Zhang Liang Ma Giulio Gambardella Michaela Blott Luciano Lavagno Kees Vissers John Wawrzynek
+	QuTiBench: Benchmarking Neural Networks on Heterogeneous Hardware	2019	Michaela Blott Lisa Halder Miriam Leeser Linda Doyle
+	Real-Time Machine Learning Based Fiber-Induced Nonlinearity Compensation in Energy-Efficient Coherent Optical Networks	2019	Elias Giacoumidis Lin Yi Michaela Blott Liam P. Barry
+ PDF Chat	FINN-L: Library Extensions and Design Trade-Off Analysis for Variable Precision LSTM Networks on FPGAs	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	2018	Vladimir Rybalkin Alessandro Pappalardo Muhammad Mohsin Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott
+	SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks	2018	Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong
+	Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic	2018	Michaela Blott Thomas B. Preußer Nicholas J. Fraser Giulio Gambardella Kenneth M. O'Brien Yaman Umuroglu Miriam Leeser
+ PDF Chat	SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks	2018	Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong
+ PDF Chat	Inference of quantized neural networks on heterogeneous all-programmable devices	2018	Thomas B. Preuser Giulio Gambardella Nicholas J. Fraser Michaela Blott
+ PDF Chat	Accuracy to Throughput Trade-Offs for Reduced Precision Neural Networks on Reconfigurable Logic	2018	Su Jiang Nicholas J. Fraser Giulio Gambardella Michaela Blott Gianluca Durelli David B. Thomas Philip H. W. Leong Peter Y. K. Cheung
+	FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks	2018	Michaela Blott Thomas B. Preußer Nicholas J. Fraser Giulio Gambardella Kenneth M. O'Brien Yaman Umuroglu
+	Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic	2018	Su Jiang Nicholas J. Fraser Giulio Gambardella Michaela Blott Gianluca Durelli David B. Thomas Philip H. W. Leong Peter Y. K. Cheung
+	FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs	2018	Vladimir Rybalkin Alessandro Pappalardo Muhammad Mohsin Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott
+	SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks	2018	Julian Faraone Nicholas C. Fraser Michaela Blott Philip H. W. Leong
+	Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic	2018	Michaela Blott Thomas B. Preußer Nicholas C. Fraser Giulio Gambardella Kenneth M. O'Brien Yaman Umuroglu Miriam Leeser
+ PDF Chat	Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic	2017	Michaela Blott Thomas B. Preuber Nicholas J. Fraser Giulio Gambardella Kenneth M. O'Brien Yaman Umuroglu Miriam Leeser
+	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks	2017	Julian Faraone Nicholas J. Fraser Giulio Gamberdella Michaela Blott Philip H. W. Leong
+ PDF Chat	FINN	2017	Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers
+ PDF Chat	Scaling Binarized Neural Networks on Reconfigurable Logic	2017	Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers
+ PDF Chat	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks	2017	Julian Faraone Nicholas C. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong
+	Scaling Binarized Neural Networks on Reconfigurable Logic	2017	Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers
+	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks	2017	Julian Faraone Nicholas C. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong
+	High-Level Synthesis Case Study: Implementation of a Memcached Server	2014	Kimon Karras Michaela Blott Kees Vissers

Common Coauthors

Coauthor	Papers Together
Giulio Gambardella	21
Nicholas J. Fraser	19
Yaman Umuroglu	13
Philip H. W. Leong	11
Kees Vissers	10
Julian Faraone	6
Lucian Petrică	5
Nicholas C. Fraser	5
Thomas B. Preußer	5
Kenneth M. O'Brien	5
Alessandro Pappalardo	5
Nhan Viet Tran	4
J. Duarte	4
Miriam Leeser	4
Magnus Jahre	3
Jaroslaw E. Prilepsky	3
Thomas Bex	3
Wolfgang Schairer	3
Sorin Coţofană	3
Muhammad Mohsin Ghaffar	3
M. Pierini	3
Bernhard Spinnler	3
Ussama Zahid	3
S.‐C. Hsu	3
Norbert Wehn	3
Liam P. Barry	3
Sergei K. Turitsyn	3
Antonio Napoli	3
Mairin Kroes	3
Nelson Costa	3
Tobias A. Eriksson	3
Elias Giacoumidis	3
Benjamin Hawks	3
Vladimir Rybalkin	3
Scott Hauck	3
Yash Akhauri	3
Pedro J. Freire	3
Giuseppe Di Guglielmo	3
Joshua Agar	2
G. Pezzullo	2
Sougata Sen	2
Tobías Alonso	2
Seda Ogrenci-Memik	2
Thomas Klijnsma	2
Andres Meza	2
Amir Gholami	2
Sasipim Srivallapanondh	2
T. E. Müller-Bravo	2
Zhiqiang Que	2
Ekaterina Govorkova	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	FINN	2017	Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers	22
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	17
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	14
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	11
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	10
+ PDF Chat	Scaling Binarized Neural Networks on Reconfigurable Logic	2017	Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers	9
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	8
+	Ternary Weight Networks	2016	Fengfu Li Bin Liu	7
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	6
+ PDF Chat	Deep Learning with Low Precision by Half-Wave Gaussian Quantization	2017	Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos	6
+	Resiliency of Deep Neural Networks under Quantization	2015	Wonyong Sung Sungho Shin Kyuyeon Hwang	6
+	Trained Ternary Quantization	2016	Chenzhuo Zhu Song Han Huizi Mao William J. Dally	6
+	Deep Learning with Low Precision by Half-wave Gaussian Quantization	2017	Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos	6
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	6
+ PDF Chat	Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions	2018	Bichen Wu Alvin Wan Xiangyu Yue Peter Jin Sicheng Zhao Noah Golmant Amir Gholaminejad Joseph E. Gonzalez Kurt Keutzer	5
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+	Compressing Neural Networks with the Hashing Trick	2015	Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen	4
+ PDF Chat	ReBNet: Residual Binarized Neural Network	2018	Mohammad Ghasemzadeh Mohammad Samragh Farinaz Koushanfar	4
+	BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Yoshua Bengio	4
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	4
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy	2017	Asit K. Mishra Debbie Marr	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	3
+ PDF Chat	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks	2017	Julian Faraone Nicholas C. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong	3
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	3
+ PDF Chat	Generic and universal parallel matrix summation with a flexible compression goal for Xilinx FPGAs	2017	Thomas B. Preuser	3
+ PDF Chat	Efficient Processing of Deep Neural Networks: A Tutorial and Survey	2017	Vivienne Sze Yu‐Hsin Chen Tien-Ju Yang Joel Emer	3
+	Fast inference of deep neural networks in FPGAs for particle physics	2018	J. Duarte S. Han P. Harris S. Jindariani Edward Kreinar B. Kreis J. Ngadiuba M. Pierini R. Rivera Nhan Viet Tran	3
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	3
+	Bitwise Neural Networks	2016	Minje Kim Paris Smaragdis	3
+ PDF Chat	Convolutional networks for fast, energy-efficient neuromorphic computing	2016	Steven K. Esser Paul Merolla John V. Arthur Andrew Cassidy Rathinakumar Appuswamy Alexander Andreopoulos David Van Den Berg Jeffrey L. McKinstry Timothy Melano Davis Barch	3
+	Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors	2019	Saurabh Jha Timothy Tsai Siva Kumar Sastry Hari Michael B. Sullivan Zbigniew Kalbarczyk Stephen W. Keckler Ravishankar K. Iyer	3
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	3
+	Accelerating Deep Convolutional Networks using low-precision and sparsity	2016	Ganesh Venkatesh Eriko Nurvitadhi Debbie Marr	2
+	Learning both Weights and Connections for Efficient Neural Networks	2015	Song Han Jeff Pool John Tran William J. Dally	2
+	Low precision arithmetic for deep learning	2014	Matthieu Courbariaux Yoshua Bengio Jean‐Pierre David	2
+	Discovering Neural Wirings	2019	Mitchell Wortsman Ali Farhadi Mohammad Rastegari	2
+	Deep-Net: Deep Neural Network for Cyber Security Use Cases	2018	R. Vinayakumar Barathi Ganesh Hb Prabaharan Poornachandran M. Anand Kumar Soman K.P.	2
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	2
+ PDF Chat	BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing	2018	Yaman Umuroglu Lahiru Rasnayake Magnus Själander	2
+	PACT: Parameterized Clipping Activation for Quantized Neural Networks	2018	Jungwook Choi Zhuo Wang Swagath Venkataramani Pierce Chuang Vijayalakshmi Srinivasan Kailash Gopalakrishnan	2
+ PDF Chat	ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design	2018	Ningning Ma Xiangyu Zhang Hai-Tao Zheng Jian Sun	2
+	Streamlined Deployment for Quantized Neural Networks	2017	Yaman Umuroglu Magnus Jahre	2
+	ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections	2017	Sujith Ravi	2
+	A Survey of FPGA-Based Neural Network Accelerator	2017	Kaiyuan Guo Shulin Zeng Jincheng Yu Yu Wang Huazhong Yang	2
+	A Survey on Methods and Theories of Quantized Neural Networks	2018	Yunhui Guo	2
+	FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks	2018	Michaela Blott Thomas B. Preußer Nicholas J. Fraser Giulio Gambardella Kenneth M. O'Brien Yaman Umuroglu	2