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 "array bp xor codes for parallel matrix multiplication using hierarchical computing"):
  Abstract: This study presents a novel coded computation technique for parallel matrix-matrix product computation using hierarchical compute architectures that outperforms well known previous strategies in terms of total end-to-end execution time. The proposed method uses array codes to achieve this performance by distributing the encoding operation over the cluster (slave) nodes at the expense of increased master-slave communication. The matrix multiplication is performed using MDS array Belief Propagation (BP)-decodable codes based on pure XOR operations. The proposed scheme is shown to be configurable and suited for modern hierarchical compute architectures equipped with multiple nodes, each having multiple, independent and less capable processing units. In addition, to address scaling number of strugglers, asymptotic versions of the code is used and latency analysis is conducted. We shall demonstrate that the proposed scheme achieves order-optimal computation in both the sub-linear as well as the linear regimes in the size of the computed product from an end-to-end delay perspective while ensuring acceptable communication requirements that can be addressed by today's high speed network link infrastructures.

Includes members:
  Member "speeding up distributed machine learning using codes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "gcsa codes with noise alignment for secure coded multi party batch matrix multiplication")
  Member "polynomial codes an optimal design for high dimensional coded matrix multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "gcsa codes with noise alignment for secure coded multi party batch matrix multiplication")
  Member "coded convolution for parallel and distributed computing within a deadline":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "gcsa codes with noise alignment for secure coded multi party batch matrix multiplication")
  Member "asymptotically mds array bp xor codes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a reliability model for dependent and distributed mds disk array units")
  Member "coded fourier transform":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "gcsa codes with noise alignment for secure coded multi party batch matrix multiplication")

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.IT(Information Theory)