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 "model guided performance analysis of the sparse matrix matrix multiplication"):
  Abstract: Achieving high efficiency with numerical kernels for sparse matrices is of utmost importance, since they are part of many simulation codes and tend to use most of the available compute time and resources. In addition, especially in large scale simulation frameworks the readability and ease of use of mathematical expressions are essential components for the continuous maintenance, modification, and extension of software. In this context, the sparse matrix-matrix multiplication is of special interest. In this paper we thoroughly analyze the single-core performance of sparse matrix-matrix multiplication kernels in the Blaze Smart Expression Template (SET) framework. We develop simple models for estimating the achievable maximum performance, and use them to assess the efficiency of our implementations. Additionally, we compare these kernels with several commonly used SET-based C++ libraries, which, just as Blaze, aim at combining the requirements of high performance with an elegant user interface. For the different sparse matrix structures considered here, we show that our implementations are competitive or faster than those of the other SET libraries for most problem sizes on a current Intel multicore processor.

Includes members:
  Member "expression templates revisited a performance analysis of current methodologies":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "learning to play the chess variant crazyhouse above world champion level with deep neural networks and human data")
  Member "hybrid parallel sparse matrix vector multiplication with explicit communication overlap on current multicore based systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "node aware sparse matrix vector 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.PF(Performance)