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Yusuke Nagasaka
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2020 – today
- 2022
- [j2]Yoshiya Shikama, Ryuta Kawano, Hiroki Matsutani, Hideharu Amano, Yusuke Nagasaka, Naoto Fukumoto, Michihiro Koibuchi:
A traffic-aware memory-cube network using bypassing. Microprocess. Microsystems 90: 104471 (2022) - [c8]Yusuke Nagasaka, Naoto Fukumoto:
Efficient Collision-Free MTTKRP Algorithm for Multi-core CPUs with Less Memory Usage. CCGRID 2022: 534-543 - 2021
- [c7]Yoshiya Shikama, Ryuta Kawano, Hiroki Matsutani, Hideharu Amano, Yusuke Nagasaka, Naoto Fukumoto, Michihiro Koibuchi:
Low-Latency Low-Energy Memory-Cube Networks using Dual-Voltage Datapaths. PDP 2021: 143-147
2010 – 2019
- 2019
- [j1]Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç:
Performance optimization, modeling and analysis of sparse matrix-matrix products on multi-core and many-core processors. Parallel Comput. 90 (2019) - [c6]Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka:
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CCGRID 2019: 231-240 - [i2]Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka:
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. CoRR abs/1903.11409 (2019) - 2018
- [c5]Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç:
High-Performance Sparse Matrix-Matrix Products on Intel KNL and Multicore Architectures. ICPP Workshops 2018: 34:1-34:10 - [c4]Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka, Kenichi Miura, John Shalf:
MRG8: Random Number Generation for the Exascale Era. PASC 2018: 6:1-6:11 - [i1]Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad, Aydin Buluç:
High-performance sparse matrix-matrix products on Intel KNL and multicore architectures. CoRR abs/1804.01698 (2018) - 2017
- [c3]Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka:
High-Performance and Memory-Saving Sparse General Matrix-Matrix Multiplication for NVIDIA Pascal GPU. ICPP 2017: 101-110 - 2016
- [c2]Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka:
Adaptive Multi-level Blocking Optimization for Sparse Matrix Vector Multiplication on GPU. ICCS 2016: 131-142 - 2014
- [c1]Yusuke Nagasaka, Akira Nukada, Satoshi Matsuoka:
Cache-aware sparse matrix formats for Kepler GPU. ICPADS 2014: 281-288
Coauthor Index
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