Yaman Umuroglu

36 papers A* 1A 2B 3C 2Misc 2Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MixQuant: Pushing the Limits of Block Rotations in Post-Training Quantization. CoRR Sai Sanjeet, Ian Colbert, Pablo Monteagudo-Lago, Giuseppe Franco, Yaman Umuroglu, Nicholas J. Fraser
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`	A2Q+: Improving Accumulator-Aware Weight Quantization. ICML Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu
2024	J	`jnl`	A2Q+: Improving Accumulator-Aware Weight Quantization. CoRR Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu
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
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`	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
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	J	`jnl`	Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference. Frontiers Artif. Intell. Benjamin Hawks, Javier M. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu
2021	J	`jnl`	Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference. CoRR Benjamin Hawks, Javier M. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu
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	Misc	`conf`	High-Throughput DNN Inference with LogicNets. FCCM Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
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
2019	J	`jnl`	Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing. CoRR Yaman Umuroglu, Davide Conficconi, Lahiru Rasnayake, Thomas B. Preußer, Magnus Själander
2019	J	`jnl`	Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing. ACM Trans. Reconfigurable Technol. Syst. Yaman Umuroglu, Davide Conficconi, Lahiru Rasnayake, Thomas B. Preußer, Magnus Själander
2018	—	`—`	Accelerating Sparse Linear Algebra and Deep Neural Networks on Reconfigurable Platforms. Yaman Umuroglu
2018	B	`conf`	BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing. FPL Yaman Umuroglu, Lahiru Rasnayake, Magnus Själander
2018	J	`jnl`	BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing. CoRR Yaman Umuroglu, Lahiru Rasnayake, Magnus Själander
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	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`	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
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	J	`jnl`	Streamlined Deployment for Quantized Neural Networks. CoRR Yaman Umuroglu, Magnus Jahre
2017	Misc	`conf`	Towards efficient quantized neural network inference on mobile devices: work-in-progress. CASES Yaman Umuroglu, Magnus Jahre
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	J	`jnl`	Random access schemes for efficient FPGA SpMV acceleration. Microprocess. Microsystems Yaman Umuroglu, Magnus Jahre
2015	—	`conf`	A Vector Caching Scheme for Streaming FPGA SpMV Accelerators. ARC Yaman Umuroglu, Magnus Jahre
2015	B	`conf`	Hybrid breadth-first search on a single-chip FPGA-CPU heterogeneous platform. FPL Yaman Umuroglu, Donn Morrison, Magnus Jahre
2014	C	`conf`	An energy efficient column-major backend for FPGA SpMV accelerators. ICCD Yaman Umuroglu, Magnus Jahre