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Norihisa Fujita

Assistant Professor

University of Tsukuba

Japan

Research Interests

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Professors in Japan Professors in Artificial Intelligence Artificial Intelligence professors in Japan

Articles (17)

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2026

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2023

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2023

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2023

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2023

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2023

Collaborators (6)

Taisuke Boku

Professor

University of Tsukuba

JAPAN

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Kohji Yoshikawa

Associate Professor

University of Tsukuba

JAPAN

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Ryohei Kobayashi

Associate Professor

Tokyo Institute of Technology

JAPAN

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Wu-chun Feng

Professor

Virginia Polytechnic Institute and State University

UNITED STATES

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Masayuki Umemura

University of Tsukuba

JAPAN

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Osamu Tatebe

Professor

University of Tsukuba

JAPAN

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ApplyKite TwinLearns as you apply

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Norihisa Fujita

Research Interests

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Articles (17)

A SYCLic Investigation of SYCL Ecosystems: UniSYCL for Heterogeneous Scaling

Large-Scale Vlasov Simulations for Astrophysics using Non-volatile Memory as Large Memory

Accelerating Deep Learning Inference with a Parallel FPGA System

Evaluation of Trade-Off Between Compression Ratio and Hardware Cost for Adaptive Bandwidth Compression Hardware Platform

GPU-CPU Shared Memory Performance Analysis on NVIDIA GH200

Preliminary Evaluation of Kyokko for Inter-FPGA Communication Framework CIRCUS

Preliminary Performance Evaluation of Grace-Hopper GH200

Using SYCLomatic to migrate CUDA code to oneAPI adapting NVIDIA GPU

CHARM-SYCL & IRIS: A Tool Chain for Performance Portability on Extremely Heterogeneous Systems

Using Intel oneAPI for Multi-hybrid Acceleration Programming with GPU and FPGA Coupling

GPU–FPGA-accelerated Radiative Transfer Simulation with Inter-FPGA Communication

Implementation and Performance Evaluation of Collective Communications Using CIRCUS on Multiple FPGAs

Accelerating Radiative Transfer Simulation on NVIDIA GPUs with OpenACC

CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types

Implementation and Performance Evaluation of Memory System Using Addressable Cache for HPC Applications on HBM2 Equipped FPGAs

OpenACC Unified Programming Environment for Multi-hybrid Acceleration with GPU and FPGA

Performance improvement by enhancing spatial parallelism on FPGA for HPC applications

Collaborators (6)

Taisuke Boku

Kohji Yoshikawa

Ryohei Kobayashi

Wu-chun Feng

Masayuki Umemura

Osamu Tatebe

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