Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference.

B. Hawks, J. Duarte, N. Fraser, A. Pappalardo, N. Tran, and Y. Umuroglu. Frontiers Artif. Intell., (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sibel Yaman

Sabahattin Yaman

Kemal Yaman

Hakan Yaman

Melek Yaman

Other publications of authors with the same name

Hybrid breadth-first search on a single-chip FPGA-CPU heterogeneous platform.Y. Umuroglu, D. Morrison, and M. Jahre. FPL, page 1-8. IEEE, (2015)QONNX: Representing Arbitrary-Precision Quantized Neural Networks.A. Pappalardo, Y. Umuroglu, M. Blott, J. Mitrevski, B. Hawks, N. Tran, V. Loncar, S. Summers, H. Borras, J. Muhizi and 4 other author(s). CoRR, (2022)Towards efficient quantized neural network inference on mobile devices: work-in-progress.Y. Umuroglu, and M. Jahre. CASES, page 18:1-18:2. ACM, (2017)An energy efficient column-major backend for FPGA SpMV accelerators.Y. Umuroglu, and M. Jahre. ICCD, page 432-439. IEEE Computer Society, (2014)LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications.Y. Umuroglu, Y. Akhauri, N. Fraser, and M. Blott. FPL, page 291-297. IEEE, (2020)FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks.M. Blott, T. Preußer, N. Fraser, G. Gambardella, K. O'Brien, Y. Umuroglu, M. Leeser, and K. Vissers. ACM Trans. Reconfigurable Technol. Syst., 11 (3): 16:1-16:23 (2018)RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures.F. Jentzsch, Y. Umuroglu, A. Pappalardo, M. Blott, and M. Platzner. IEEE Micro, 42 (6): 125-133 (2022)BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing.Y. Umuroglu, L. Rasnayake, and M. Själander. FPL, page 307-314. IEEE Computer Society, (2018)FINN: A Framework for Fast, Scalable Binarized Neural Network Inference.Y. Umuroglu, N. Fraser, G. Gambardella, M. Blott, P. Leong, M. Jahre, and K. Vissers. CoRR, (2016)Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing.Y. Umuroglu, D. Conficconi, L. Rasnayake, T. Preußer, and M. Själander. ACM Trans. Reconfigurable Technol. Syst., 12 (3): 15:1-15:24 (2019)

BibSonomy

Disambiguation of "Umuroglu, Yaman"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference.

Please choose a person to relate this publication to

Sibel Yaman

Sabahattin Yaman

Kemal Yaman

Hakan Yaman

Melek Yaman

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Umuroglu, Yaman"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference.

Please choose a person to relate this publication to

Sibel Yaman

Sabahattin Yaman

Kemal Yaman

Hakan Yaman

Melek Yaman

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference.