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 "a parallel sparse tensor benchmark suite on cpus and gpus"):
  Abstract: Tensor computations present significant performance challenges that impact a wide spectrum of applications ranging from machine learning, healthcare analytics, social network analysis, data mining to quantum chemistry and signal processing. Efforts to improve the performance of tensor computations include exploring data layout, execution scheduling, and parallelism in common tensor kernels. This work presents a benchmark suite for arbitrary-order sparse tensor kernels using state-of-the-art tensor formats: coordinate (COO) and hierarchical coordinate (HiCOO) on CPUs and GPUs. It presents a set of reference tensor kernel implementations that are compatible with real-world tensors and power law tensors extended from synthetic graph generation techniques. We also propose Roofline performance models for these kernels to provide insights of computer platforms from sparse tensor view.

Includes members:
  Member "pasta a parallel sparse tensor algorithm benchmark suite":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "enabling distributed memory tensor completion in python using new sparse tensor kernels")
  Member "format abstraction for sparse tensor algebracompilers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a unified iteration space transformation framework for sparse and dense tensor algebra")
  Member "spartan scalable parafac2 for large sparse data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "pasta a parallel sparse tensor algorithm benchmark suite")
  Member "a unified optimization approach for sparse tensor operations on gpus":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "automatic generation of efficient sparse tensor format conversion routines")
  Member "simtensor a synthetic tensor data generator":
    also connected through other hyperedges:
      (none)
  Member "high performance tensor contraction without transposition":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "yet another tensor toolbox for discontinuous galerkin methods and other applications")
  Member "tensorizing neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "sparse weight activation training")
  Member "the gap benchmark suite":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "optimizing ordered graph algorithms with graphit")

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)