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 "implementing adaptive ensemble biomolecular applications at scale"):
  Abstract: Many scientific problems require multiple distinct computational tasks to be executed in order to achieve a desired solution. Novel approaches focus on leveraging intermediate data to adapt the application to study larger problems, longer time scales and to engineer better fidelity in the modeling of complex phenomena. In this paper, we describe types of application adaptivity in such applications, develop abstractions to specify application adaptivity, and challenges in implementing them in software tools. We describe the design and enhancement of Ensemble Toolkit to support adaptivity, characterize the adaptivity overhead, validate the implementation of two exemplar molecular dynamics algorithms: expanded ensemble and markov state modeling, and analyze the results of running the expanded ensemble algorithm at production scale. We discuss novel computational capabilities enabled by abstractions for adaptive ensemble applications and the scientific advantages arising thereof.

Includes members:
  Member "ensemble toolkit scalable and flexible execution of ensembles of tasks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deepdrivemd deep learning driven adaptive molecular simulations for protein folding")
  Member "using pilot systems to execute many task workloads on supercomputers":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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.CE(Computational Engineering, Finance, and Science)