human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "pr e diction de performances pour les communications collectives"):
  Abstract: Des travaux r\'{e}cents visent l'optimisation des op\'{e}rations de communication collective dans les environnements de type grille de calcul. La solution la plus r\'{e}pandue est la s\'{e}paration des communications internes et externes \`{a} chaque grappe, mais cela n'exclut pas le d\'{e}coupage des communications en plusieurs couches, pratique efficace d\'{e}montr\'{e}e par Karonis et al. [10]. Dans les deux cas, la pr\'{e}diction des performances est un facteur essentiel, soit pour le r\'{e}glage fin des param\`{e}tres de communication, soit pour le calcul de la distribution et de la hi\'{e}rarchie des communications. Pour cela, il est tr\`{e}s important d'avoir des mod\`{e}les pr\'{e}cis des communications collectives, lesquels seront utilis\'{e}s pour pr\'{e}dire ces performances. Cet article d\'{e}crit notre exp\'{e}rience sur la mod\'{e}lisation des op\'{e}rations de communication collective. Nous pr\'{e}sentons des mod\`{e}les de communication pour diff\'{e}rents patrons de communication collective comme un vers plusieurs, un vers plusieurs personnalis\'{e} et plusieurs vers plusieurs. Pour \'{e}valuer la pr\'{e}cision des mod\`{e}les, nous comparons les pr\'{e}dictions obtenues avec les r\'{e}sultats des exp\'{e}rimentations effectu\'{e}es sur deux environnements r\'{e}seaux diff\'{e}rents, Fast Ethernet et Myrinet.

Includes members:
  Member "identifying logical homogeneous clusters for efficient wide area communications":
    also connected through other hyperedges:
      (none)
  Member "a multilevel approach to topology aware collective operations in computational grids":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "identifying logical homogeneous clusters for efficient wide area communications")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DC(Distributed, Parallel, and Cluster Computing)