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 "bandwidth optimized parallel algorithms for sparse matrix matrix multiplication using propagation blocking"):
  Abstract: Sparse matrix-matrix multiplication (SpGEMM) is a widely used kernel in various graph, scientific computing and machine learning algorithms. It is well known that SpGEMM is a memory-bound operation, and its peak performance is expected to be bound by the memory bandwidth. Yet, existing algorithms fail to saturate the memory bandwidth, resulting in suboptimal performance under the Roofline model. In this paper we characterize existing SpGEMM algorithms based on their memory access patterns and develop practical lower and upper bounds for SpGEMM performance. We then develop an SpGEMM algorithm based on outer product matrix multiplication. The newly developed algorithm called PB-SpGEMM saturates memory bandwidth by using the propagation blocking technique and by performing in-cache sorting and merging. For many practical matrices, PB-SpGEMM runs 20%-50% faster than the state-of-the-art heap and hash SpGEMM algorithms on modern multicore processors. Most importantly, PB-SpGEMM attains performance predicted by the Roofline model, and its performance remains stable with respect to matrix size and sparsity.

Includes members:
  Member "fast randomized pca for sparse data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "scalable graph embeddings via sparse transpose proximities")
  Member "exploiting multiple levels of parallelism in sparse matrix matrix multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a systematic survey of general sparse matrix matrix multiplication")
  Member "a high performance implementation of spectral clustering on cpu gpu platforms":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "network summarization with preserved spectral properties")

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)