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 "spin summations a high performance perspective"):
  Abstract: Besides tensor contractions, one of the most pronounced computational bottlenecks in the non-orthogonally spin-adapted forms of the quantum chemistry methods CCSDT and CCSDTQ, and their approximate forms---including CCSD(T) and CCSDT(Q)---are spin summations. At a first sight, spin summations are operations similar to tensor transpositions; a closer look instead reveals additional challenges to high-performance calculations, including temporal locality as well as scattered memory accesses. This publication explores a sequence of algorithmic solutions for spin summations, each exploiting individual properties of either the underlying hardware (e.g. caches, vectorization), or the problem itself (e.g. factorizability). The final algorithm combines the advantages of all the solutions, while avoiding their drawbacks; this algorithm, achieves high-performance through parallelization, vectorization, and by exploiting the temporal locality inherent to spin summations. Combined, these optimizations result in speedups between 2.4x and 5.5x over the NCC quantum chemistry software package. In addition to such a performance boost, our algorithm can perform the spin summations in-place, thus reducing the memory footprint by 2x over an out-of-place variant.

Includes members:
  Member "hptt a high performance tensor transposition c library":
    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 "ttc a high performance compiler for tensor transpositions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "hptt a high performance tensor transposition c library")
  Member "design of a high performance gemm like tensor tensor multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "yet another tensor toolbox for discontinuous galerkin methods and other applications")
  Member "high performance tensor contraction without transposition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a parallel sparse tensor benchmark suite on cpus and gpus")
  Member "ttc a tensor transposition compiler for multiple architectures":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "hptt a high performance tensor transposition c library")
  Member "towards an efficient use of the blas library for multilinear tensor contractions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "yet another tensor toolbox for discontinuous galerkin methods and other applications")

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.MS(Mathematical Software)