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: "synapse synthetic application profiler and emulator"
  Abstract: Abstract   Motivated by the need to emulate workload execution characteristics on high-performance and distributed heterogeneous resources, we introduce Synapse. Synapse is used as a proxy application (or “representative application”) for real workloads, with the advantage that it can be tuned in different ways and dimensions, and also at levels of granularity that are not possible with real applications. Synapse has a platform-independent application profiler, and has the ability to emulate profiled workloads on a variety of resources. Experiments show that the automated profiling performed using Synapse captures an application's characteristics with high fidelity. The emulation of an application using Synapse can reproduce the application's execution behavior in the original runtime environment, and can also reproduce those behaviors on different run-time environments.

Connected through hyperedge HE-1 (induced by source paper "methods and experiences for developing abstractions for data intensive scientific applications"):
  with members:
    - "learning everywhere pervasive machine learning for effective high performance computation"
    - "priority based parameter propagation for distributed dnn training"
    - "performance characterization and modeling of serverless and hpc streaming applications"
    - "hadoop on hpc integrating hadoop and pilot based dynamic resource management"
    - "on the hourglass model"
    - "using pilot systems to execute many task workloads on supercomputers"
    - "a comprehensive perspective on pilot job systems"
    - "a tale of two data intensive paradigms applications abstractions and architectures"

Connected through hyperedge HE-2 (induced by source paper "staged deployment of interactive multi application hpc workflows"):
  with members:
    - "closed loop interactions between spiking neural network and robotic simulators based on music and ros"
    - "a comprehensive perspective on pilot job systems"

Connected through hyperedge HE-3 (induced by source paper "designing workflow systems using building blocks"):
  with members:
    - "converging high throughput and high performance computing a case study"
    - "microservices yesterday today and tomorrow"
    - "ensemble toolkit scalable and flexible execution of ensembles of tasks"
    - "extasy scalable and flexible coupling of md simulations and advanced sampling techniques"
    - "analysis of distributed execution of workloads"
    - "repex a flexible framework for scalable replica exchange molecular dynamics simulations"
    - "executing dynamic and heterogeneous workloads on super computers"
    - "integrating abstractions to enhance the execution of distributed applications"

Connected through hyperedge HE-4 (induced by source paper "analysis of distributed execution of workloads"):
  with members:
    - "ensemble toolkit scalable and flexible execution of ensembles of tasks"
    - "a comprehensive perspective on pilot job systems"
    - "executing dynamic and heterogeneous workloads on super computers"
    - "integrating abstractions to enhance the execution of distributed applications"

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)