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Optimizing Reconfigurable Recurrent Neural Networks.

Z. Que, H. Nakahara, E. Nurvitadhi, H. Fan, C. Zeng, J. Meng, X. Niu, and W. Luk. FCCM, page 10-18. IEEE, (2020)

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Evaluating The Highly-Pipelined Intel Stratix 10 FPGA Architecture Using Open-Source Benchmarks.T. Tan, E. Nurvitadhi, D. Shih, and D. Chiou. FPT, page 206-213. IEEE, (2018)Design, implementation, and verification of active cache emulator (ACE).J. Hong, E. Nurvitadhi, and S. Lu. FPGA, page 63-72. ACM, (2006)Artisan: a Meta-Programming Approach For Codifying Optimisation Strategies.J. Vandebon, J. Coutinho, W. Luk, E. Nurvitadhi, and T. Todman. FCCM, page 177-185. IEEE, (2020)Programmable Automotive Headlights.R. Tamburo, E. Nurvitadhi, A. Chugh, M. Chen, A. Rowe, T. Kanade, and S. Narasimhan. ECCV (4), volume 8692 of Lecture Notes in Computer Science, page 750-765. Springer, (2014)Fast hierarchical implementation of sequential tree-reweighted belief propagation for probabilistic inference.S. Hurkat, J. Choi, E. Nurvitadhi, J. Martínez, and R. Rutenbar. FPL, page 1-8. IEEE, (2015)Specializing for Efficiency: Customizing AI Inference Processors on FPGAs.A. Boutros, E. Nurvitadhi, and V. Betz. ICM, page 62-65. IEEE, (2021)Automatic Pipelining From Transactional Datapath Specifications.E. Nurvitadhi, J. Hoe, T. Kam, and S. Lu. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 30 (3): 441-454 (2011)Scalable Multi-FPGA Acceleration for Large RNNs with Full Parallelism Levels.D. Kwon, S. Hur, H. Jang, E. Nurvitadhi, and J. Kim. DAC, page 1-6. IEEE, (2020)Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs: (Abstract Only).P. Colangelo, N. Nasiri, E. Nurvitadhi, A. Mishra, M. Margala, and K. Nealis. FPGA, page 294. ACM, (2018)Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs.A. Boutros, E. Nurvitadhi, R. Ma, S. Gribok, Z. Zhao, J. Hoe, V. Betz, and M. Langhammer. FPT, page 10-19. IEEE, (2020)

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Disambiguation of "Nurvitadhi, Eriko"

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Optimizing Reconfigurable Recurrent Neural Networks.

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Disambiguation of "Nurvitadhi, Eriko"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Optimizing Reconfigurable Recurrent Neural Networks.

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Optimizing Reconfigurable Recurrent Neural Networks.