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 "task parallel analysis of molecular dynamics trajectories"):
  Abstract: Different frameworks for implementing parallel data analytics applications have been proposed by the HPC and Big Data communities. In this paper, we investigate three frameworks: Spark, Dask and RADICAL-Pilot with respect to their ability to support data analytics requirements on HPC resources. We investigate the data analysis requirements of Molecular Dynamics (MD) simulations which are significant consumers of supercomputing cycles, producing immense amounts of data: a typical large-scale MD simulation of physical systems of O(100,000) atoms can produce from O(10) GB to O(1000) GBs of data. We propose and evaluate different approaches for parallelization of a representative set of MD trajectory analysis algorithms, in particular the computation of path similarity and the identification of connected atom. We evaluate Spark, Dask and \rp with respect to the provided abstractions and runtime engine capabilities to support these algorithms. We provide a conceptual basis for comparing and understanding the different frameworks that enable users to select the optimal system for its application. Further, we provide a quantitative performance analysis of the different algorithms across the three frameworks using different high-performance computing resources.

Includes members:
  Member "high throughput binding affinity calculations at extreme scales":
    also connected through other hyperedges:
      (none)
  Member "hadoop on hpc integrating hadoop and pilot based dynamic resource management":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "methods and experiences for developing abstractions for data intensive scientific applications")
  Member "extasy scalable and flexible coupling of md simulations and advanced sampling techniques":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "radical cybertools middleware building blocks for scalable science")
  Member "repex a flexible framework for scalable replica exchange molecular dynamics simulations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "radical cybertools middleware building blocks for scalable science")
  Member "using pilot systems to execute many task workloads on supercomputers":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "methods and experiences for developing abstractions for data intensive scientific applications")
  Member "a comprehensive perspective on pilot job systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "methods and experiences for developing abstractions for data intensive scientific applications")
  Member "mllib machine learning in apache spark":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "multi layer optimizations for end to end data analytics")
  Member "a tale of two data intensive paradigms applications abstractions and architectures":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "methods and experiences for developing abstractions for data intensive scientific 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.DC(Distributed, Parallel, and Cluster Computing)