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This paper proposes a new method for Particle-in-Cell (PIC) simulations which aims at achieving both good load balancing and scalability so as to be efficiently executed on distributed memory systems. This method, named OhHelp, simply and equally partitions the space domain where charged particles reside and assigns each partitioned subdomain to each computation node for scalable simulation with respect to the size of the domain. Load balancing and thus the scalability in terms of the number ofdoi:10.1145/1542275.1542293 dblp:conf/ics/NakashimaMUO09 fatcat:b3455byumfgwrar2tsj5wpu6gq