Yaman Umuroglu

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Venues

CoRR

ACM Trans. Reconfigurable Technol. Syst.

FPL

ICCD

Norwegian University of Science and Technology, Trondheim, Norway (PHD)

Education History

Norwegian University of Science and Technology, Trondheim, Norway

PHD

Publications

Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu
A2Q+: Improving Accumulator-Aware Weight Quantization. CoRR (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)
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)
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)
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)
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)
Benjamin Hawks, Javier M. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference. CoRR (2021)
Benjamin Hawks, Javier M. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu
Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference. Frontiers Artif. Intell. 4 (2021)
Yaman Umuroglu, Yash Akhauri, Nicholas James Fraser, Michaela Blott
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. FPL (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)
Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications. CoRR (2020)
Yaman Umuroglu, Davide Conficconi, Lahiru Rasnayake, Thomas B. Preußer, Magnus Själander
Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing. ACM Trans. Reconfigurable Technol. Syst. 12 (3) (2019)
Yaman Umuroglu, Davide Conficconi, Lahiru Rasnayake, Thomas B. Preußer, Magnus Själander
Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing. CoRR (2019)
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)
Yaman Umuroglu, Lahiru Rasnayake, Magnus Själander
BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing. FPL (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)
Yaman Umuroglu, Lahiru Rasnayake, Magnus Själander
BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing. CoRR (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)
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)
Yaman Umuroglu, Magnus Jahre
Streamlined Deployment for Quantized Neural Networks. CoRR (2017)
Yaman Umuroglu, Magnus Jahre
Towards efficient quantized neural network inference on mobile devices: work-in-progress. CASES (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)
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)
Yaman Umuroglu, Magnus Jahre
Random access schemes for efficient FPGA SpMV acceleration. Microprocess. Microsystems 47 (2016)
Yaman Umuroglu, Donn Morrison, Magnus Jahre
Hybrid breadth-first search on a single-chip FPGA-CPU heterogeneous platform. FPL (2015)
Yaman Umuroglu, Magnus Jahre
A Vector Caching Scheme for Streaming FPGA SpMV Accelerators. ARC (2015)
Yaman Umuroglu, Magnus Jahre
An energy efficient column-major backend for FPGA SpMV accelerators. ICCD (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yaman Umuroglu