human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "a critical path approach to analyzing parallelism of algorithmic variants application to cholesky inversion"
  Abstract: Algorithms come with multiple variants which are obtained by changing the mathematical approach from which the algorithm is derived. These variants oer a wide spectrum of performance when implemented on a multicore platform and we seek to understand these dierences in performances from a theoretical point of view. To that aim, we derive and present the critical path lengths of each algorithmic variant for our application problem which enables us to determine a lower bound on the time to solution. This metric provides an intuitive grasp of the performance of a variant and we present numerical experiments to validate the tightness of our lower bounds on practical applications. Our case study is the Cholesky inversion and its use in computing the inverse of a symmetric positive denite matrix.

Connected through hyperedge HE-1 (induced by source paper "tiled algorithms for matrix computations on multicore architectures"):
  with members:
    - "communication optimal parallel algorithm for strassen s matrix multiplication"
    - "tiled qr factorization algorithms"
    - "towards an efficient tile matrix inversion of symmetric positive definite matrices on multicore architectures"
    - "memory efficient scheduling of strassen winograd s matrix multiplication algorithm"
    - "a class of parallel tiled linear algebra algorithms for multicore architectures"

Question: Please tell me which class the center node 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)