If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Hideharu Amano is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Field programmable gate arrays (FPGA) Engineering & Materials Science
Particle accelerators Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Parallel processing systems Engineering & Materials Science
Hardware Engineering & Materials Science
Routers Engineering & Materials Science
Switches Engineering & Materials Science
Communication Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1983 2019

Acceleration of deep recurrent neural networks with an FPGA cluster

Sun, Y., Ben Ahmed, A. & Amano, H., 2019 Jun 6, Proceedings of the 10th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, HEART 2019. Association for Computing Machinery, 18. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Field programmable gate arrays (FPGA)
Computer hardware
Program processors
Hardware

A coarse grained-reconfigurable accelerator with energy efficient MTJ-based non-volatile flip-flops

Ikezoe, T., Amano, H., Akaike, J., Usami, K., Kudo, M., Hiraga, K., Shuto, Y. & Yagami, K., 2019 Feb 13, 2018 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2018. Andrews, D., Feregrino, C., Cumplido, R. & Stroobandt, D. (eds.). Institute of Electrical and Electronics Engineers Inc., 8641712. (2018 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Flip flop circuits
Particle accelerators
Data storage equipment
Managers
Inventory control

A fine-grained multicasting of configuration data for coarse-grained reconfigurable architectures

Kojima, T. & Amano, H., 2019 Jan 1, In : IEICE Transactions on Information and Systems. E102D, 7, p. 1247-1256 10 p.

Research output: Contribution to journalArticle

Open Access
Reconfigurable architectures
Multicasting
Processing
Program processors
Energy utilization

An ARM-based heterogeneous FPGA accelerator for hall thruster simulation

Noda, H., Orsztynowicz, M., Iizuka, K., Miyajima, T., Fujita, N. & Amano, H., 2019 Jun 6, Proceedings of the 10th International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies, HEART 2019. Association for Computing Machinery, 9. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hall thrusters
Particle accelerators
Field programmable gate arrays (FPGA)
Computer simulation
Software packages

Implementing a large application(LSTM) on the multi-FPGA system: Flow-in-Cloud

Yamauchi, Y., Musha, K. & Amano, H., 2019 May 23, IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8721333. (IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Field programmable gate arrays (FPGA)
Cloud computing
Long short-term memory
Engines
Tensors