Yasumasa Kanada

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4ranked-venue papers

0as first author

0since 2021 · last 2001

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems 1 paper		High-performance computing · 33% Performance modeling and evaluation · 33% Processor architecture and microarchitecture · 33%
Interdisciplinary, comprehensive, and emerging computing 1 paper		Computational science and engineering · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Computational science and engineering › statistical physics statistical physics simulation	1	1990	Monte Carlo simulation of the Ising model and random number generation on the vector processor · SC 1990
Performance modeling and evaluation › simulation monte carlo simulation	1	1990	Monte Carlo simulation of the Ising model and random number generation on the vector processor · SC 1990
High-performance computing scientific computing systems	1	1990	Monte Carlo simulation of the Ising model and random number generation on the vector processor · SC 1990
Processor architecture and microarchitecture vector processing	1	1990	Monte Carlo simulation of the Ising model and random number generation on the vector processor · SC 1990

Methods — techniques the papers use, named apart from their topics

vectorizable algorithm · 0.0random number generation · 0.0

Year	Publication	Venue	Position
2001	An efficient implementation of parallel eigenvalue computation for massively parallel processing Takahiro Katagiri, Yasumasa Kanada	Parallel Comput.	2
2000	Extraction of Authors' Charateristics from japanese Modern Setences via N-gram Distribution Tsukasa Matsuura, Yasumasa Kanada	Discovery Science	2
2000	High-Performance Radix-2, 3 and 5 Parallel 1-D Complex FFT Algorithms for Distributed-Memory Parallel Computers Daisuke Takahashi, Yasumasa Kanada	J. Supercomput.	2
1990	Monte Carlo simulation of the Ising model and random number generation on the vector processor abstract The Monte Carlo simulation of the Ising model on the vector processor is discussed with particular attention given to the development of the vectorizable algorithm and the implementation, tuning, and tests necessary for the large-scale computations. The machine is the HITAC S820/80. The maximum simulation speed is 0.9310/sup 9/ spins per second for the ferromagnetic Ising models on a simple cubic lattice. The random number generation algorithms are also explained. The present generator can produce 0.6210/sup 9/ 32-bit random integers per second. The results of randomness tests which use the two-dimensional Ising model are presented.> Nobuyasu Ito, Yasumasa Kanada	SC	2