R
Ruokun Liu
Researcher at Intel
Publications - 4
Citations - 2402
Ruokun Liu is an academic researcher from Intel. The author has contributed to research in topics: Neuromorphic engineering & Nearest neighbor search. The author has an hindex of 3, co-authored 4 publications receiving 1328 citations.
Papers
More filters
Journal ArticleDOI
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Michael Davies,Narayan Srinivasa,Tsung-Han Lin,Gautham N. Chinya,Cao Yongqiang,Sri Harsha Choday,Georgios D. Dimou,Prasad Joshi,Nabil Imam,Shweta Jain,Yuyun Liao,Chit-Kwan Lin,Andrew Lines,Ruokun Liu,Deepak A. Mathaikutty,Steven McCoy,Arnab Paul,Jonathan Tse,Guruguhanathan Venkataramanan,Yi-Hsin Weng,Andreas Wild,Yoon Seok Yang,Hong Wang +22 more
TL;DR: Loihi is a 60-mm2 chip fabricated in Intels 14-nm process that advances the state-of-the-art modeling of spiking neural networks in silicon, and can solve LASSO optimization problems with over three orders of magnitude superior energy-delay-product compared to conventional solvers running on a CPU iso-process/voltage/area.
Proceedings ArticleDOI
Neuromorphic Nearest Neighbor Search Using Intel's Pohoiki Springs
E. Paxon Frady,Garrick Orchard,David Florey,Nabil Imam,Ruokun Liu,Joyesh Mishra,Jonathan Tse,Andreas Wild,Friedrich T. Sommer,Michael Davies +9 more
TL;DR: This work showcases the Pohoiki Springs neuromorphic system, a mesh of 768 interconnected Loihi chips that collectively implement 100 million spiking neurons in silicon, and demonstrates a scalable approximate k-nearest neighbor (k-NN) algorithm for searching large databases that exploits neuromorphic principles.
Proceedings ArticleDOI
Loihi Asynchronous Neuromorphic Research Chip
TL;DR: The pre-silicon design was verified by static timing analysis, back-annotated gate-level simulation, and FPGA emulation, and Tunable delay lines provide sufficient timing margin in extreme corners such as near-threshold-voltage.
Posted Content
Neuromorphic Nearest-Neighbor Search Using Intel's Pohoiki Springs
E. Paxon Frady,Garrick Orchard,David Florey,Nabil Imam,Ruokun Liu,Joyesh Mishra,Jonathan Tse,Andreas Wild,Friedrich T. Sommer,Michael Davies +9 more
TL;DR: The Pohoiki Springs neuromorphic system as discussed by the authors is a mesh of 768 interconnected Loihi chips that collectively implement 100 million spiking neurons in silicon, and it achieves superior latency, index build time, and energy efficiency when evaluated on several standard datasets containing over 1 million high-dimensional patterns.