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 "the i o complexity of strassen s matrix multiplication with recomputation"):
  Abstract: A tight Ω((n/ √ M )2 M ) lower bound is derived on the I/O complexity of Strassen’s algorithm to multiply two n × n matrices, in a two-level storage hierarchy with M words of fast memory. A proof technique is introduced, which exploits the Grigoriev’s flow of the matrix multiplication function as well as some combinatorial properties of the Strassen computational directed acyclic graph (CDAG). Applications to parallel computation are also developed. The result generalizes a similar bound previously obtained under the constraint of no-recomputation, that is, that intermediate results cannot be computed more than once. For this restricted case, another lower bound technique is presented, which leads to a simpler analysis of the I/O complexity of Strassen’s algorithm and can be readily extended to other “Strassen-like” algorithms. 1998 ACM Subject Classification F.2.1 Numerical Algorithms and Problems

Includes members:
  Member "powers of tensors and fast matrix multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "new algorithms and hardness for incremental single source shortest paths in directed graphs")
  Member "communication lower bounds for distributed memory computations":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "equivalence classes and conditional hardness in massively parallel computations")
  Member "the input output complexity of sparse matrix multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "enabling distributed memory tensor completion in python using new sparse tensor kernels")
  Member "communication lower bounds for distributed memory computations":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "equivalence classes and conditional hardness in massively parallel computations")
  Member "graph expansion analysis for communication costs of fast rectangular matrix multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the i o complexity of hybrid algorithms for square matrix multiplication")
  Member "faster algorithms for rectangular matrix multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deterministic algorithms for decremental approximate shortest paths faster and simpler")
  Member "communication optimal parallel algorithm for strassen s matrix multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "engineering boolean matrix multiplication for multiple accelerator shared memory architectures")
  Member "minimizing communication in linear algebra":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "communication efficient jaccard similarity for high performance distributed genome comparisons")

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.DS(Data Structures and Algorithms)