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: "efficient generation of parallel spin images using dynamic loop scheduling"
  Abstract: High performance computing (HPC) systems underwent a significant increase in their processing capabilities. Modern HPC systems combine large numbers of homogeneous and heterogeneous computing resources. Scalability is, therefore, an essential aspect of scientific applications to efficiently exploit the massive parallelism of modern HPC systems. This work introduces an efficient version of the parallel spin-image algorithm (PSIA), called EPSIA. The PSIA is a parallel version of the spin-image algorithm (SIA). The (P)SIA is used in various domains, such as 3D object recognition, categorization, and 3D face recognition. EPSIA refers to the extended version of the PSIA that integrates various well-known dynamic loop scheduling (DLS) techniques. The present work: (1) Proposes EPSIA, a novel flexible version of PSIA; (2) Showcases the benefits of applying DLS techniques for optimizing the performance of the PSIA; (3) Assesses the performance of the proposed EPSIA by conducting several scalability experiments. The performance results are promising and show that using well-known DLS techniques, the performance of the EPSIA outperforms the performance of the PSIA by a factor of 1.2 and 2 for homogeneous and heterogeneous computing resources, respectively.

Connected through hyperedge HE-1 (induced by source paper "an approach for realistically simulating the performance of scientific applications on high performance computing systems"):
  with members:
    - "openmp loop scheduling revisited making a case for more schedules"
    - "sil an approach for adjusting applications to heterogeneous systems under perturbations"
    - "experimental verification and analysis of dynamic loop scheduling in scientific applications"
    - "performance reproduction and prediction of selected dynamic loop scheduling experiments"
    - "exploring the relation between two levels of scheduling using a novel simulation approach"

Connected through hyperedge HE-2 (induced by source paper "online research report rdlb a novel approach for robust dynamic load balancing of scientific applications with parallel independent tasks"):
  with members:
    - "openmp loop scheduling revisited making a case for more schedules"
    - "sil an approach for adjusting applications to heterogeneous systems under perturbations"
    - "dynamic loop scheduling using mpi passive target remote memory access"
    - "performance reproduction and prediction of selected dynamic loop scheduling experiments"

Connected through hyperedge HE-3 (induced by source paper "rdlb a novel approach for robust dynamic load balancing of scientific applications with parallel independent tasks"):
  with members:
    - "openmp loop scheduling revisited making a case for more schedules"
    - "sil an approach for adjusting applications to heterogeneous systems under perturbations"
    - "dynamic loop scheduling using mpi passive target remote memory access"
    - "performance reproduction and prediction of selected dynamic loop scheduling experiments"

Connected through hyperedge HE-4 (induced by source paper "simas a simulation assisted approach for the scheduling algorithm selection under perturbations"):
  with members:
    - "an approach for realistically simulating the performance of scientific applications on high performance computing systems"
    - "experimental verification and analysis of dynamic loop scheduling in scientific applications"
    - "performance reproduction and prediction of selected dynamic loop scheduling experiments"
    - "the importance and need for system monitoring and analysis in hpc operations and research"

Connected through hyperedge HE-5 (induced by source paper "hierarchical dynamic loop self scheduling on distributed memory systems using an mpi mpi approach"):
  with members:
    - "openmp loop scheduling revisited making a case for more schedules"
    - "dynamic loop scheduling using mpi passive target remote memory access"

Connected through hyperedge HE-6 (induced by source paper "two level dynamic load balancing for high performance scientific applications"):
  with members:
    - "openmp loop scheduling revisited making a case for more schedules"
    - "exploring the relation between two levels of scheduling using a novel simulation approach"

Connected through hyperedge HE-7 (induced by source paper "sil an approach for adjusting applications to heterogeneous systems under perturbations"):
  with members:
    - "experimental verification and analysis of dynamic loop scheduling in scientific applications"
    - "performance reproduction and prediction of selected dynamic loop scheduling experiments"
    - "the importance and need for system monitoring and analysis in hpc operations and research"

Connected through hyperedge HE-8 (induced by source paper "performance reproduction and prediction of selected dynamic loop scheduling experiments"):
  with members:
    - "experimental verification and analysis of dynamic loop scheduling in scientific applications"
    - "exploring the relation between two levels of scheduling using a novel simulation approach"
    - "on the state and importance of reproducible experimental research in parallel computing"

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)