K
Koji Nakano
Researcher at Hiroshima University
Publications - 308
Citations - 3579
Koji Nakano is an academic researcher from Hiroshima University. The author has contributed to research in topics: Field-programmable gate array & Parallel algorithm. The author has an hindex of 30, co-authored 295 publications receiving 3342 citations. Previous affiliations of Koji Nakano include Nagoya Institute of Technology & Hitachi.
Papers
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Proceedings ArticleDOI
Parallel Algorithms for the Summed Area Table on the Asynchronous Hierarchical Memory Machine, with GPU implementations
TL;DR: The asynchronous Hierarchical Memory Machine (asynchronous HMM) is introduced, which supports asynchronous execution of CUDA blocks, and a global-memory-access-optimal parallel algorithm for computing the SAT on the asynchronous HMM is shown.
Proceedings ArticleDOI
ASCII Art Generation Using the Local Exhaustive Search on the GPU
TL;DR: A new technique to generate an ASCII art that reproduces the original tone and the details of an input gray-scale image is proposed, inspired by the local exhaustive search to optimize binary images for printing based on the characteristic of the human visual system.
Journal ArticleDOI
Low-latency connected component labeling using an fpga
Yasuaki Ito,Koji Nakano +1 more
TL;DR: This paper presents a low-latency hardware connected component labeling algorithm for k-concave binary images designed and implemented in FPGA and shows that for a 10-conCave binary image of 2048 × 2048, the algorithm runs in approximately 70ms and its latency is approximately 750µs.
Proceedings ArticleDOI
RSA encryption and decryption using the redundant number system on the FPGA
TL;DR: The key ideas to accelerate the modulo exponentiation are to use the Montgomery modulo multiplication on the redundant radix-64K number system in the FPGA, and to use embedded 18 × 18-bit multipliers and embedded 18k-bit block RAMs in effective way.
Proceedings ArticleDOI
FM screening by the local exhaustive search, with hardware acceleration
Yasuaki Ito,Koji Nakano +1 more
TL;DR: A new approach for FM screening which is called local exhaustive search (LES) method, and ways to accelerate the computation using an FPGA are presented, which shows that LES produces high quality sharp binary images.