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: "likwid a lightweight performance oriented tool suite for x86 multicore environments"
  Abstract: Exploiting the performance of today's processors requires intimate knowledge of the microarchitecture as well as an awareness of the ever-growing complexity in thread and cache topology. LIKWID is a set of command-line utilities that addresses four key problems: Probing the thread and cache topology of a shared-memory node, enforcing thread-core affinity on a program, measuring performance counter metrics, and toggling hardware prefetchers. An API for using the performance counting features from user code is also included. We clearly state the differences to the widely used PAPI interface. To demonstrate the capabilities of the tool set we show the influence of thread pinning on performance using the well-known OpenMP STREAM triad benchmark, and use the affinity and hardware counter tools to study the performance of a stencil code specifically optimized to utilize shared caches on multicore chips.

Connected through hyperedge HE-1 (induced by source paper "lbmpy a flexible code generation toolkit for highly efficient lattice boltzmann simulations"):
  with members:
    - "walberla a block structured high performance framework for multiphysics simulations"
    - "lattice boltzmann benchmark kernels as a testbed for performance analysis"
    - "a python extension for the massively parallel multiphysics simulation framework walberla"
    - "comparison of different propagation steps for lattice boltzmann methods"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"

Connected through hyperedge HE-2 (induced by source paper "collecting and presenting reproducible intranode stencil performance inspect"):
  with members:
    - "uops info characterizing latency throughput and port usage of instructions on intel microarchitectures"
    - "on the accuracy and usefulness of analytic energy models for contemporary multicore processors"
    - "automated instruction stream throughput prediction for intel and amd microarchitectures"
    - "an analysis of core and chip level architectural features in four generations of intel server processors"
    - "kerncraft a tool for analytic performance modeling of loop kernels"
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "multicore optimized wavefront diamond blocking for optimizing stencil updates"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"

Connected through hyperedge HE-3 (induced by source paper "nanobench a low overhead tool for running microbenchmarks on x86 systems"):
  with members:
    - "uops info characterizing latency throughput and port usage of instructions on intel microarchitectures"
    - "cachequery learning replacement policies from hardware caches"
    - "reload refresh abusing cache replacement policies to perform stealthy cache attacks"
    - "spectre attacks exploiting speculative execution"
    - "efficient characterization of hidden processor memory hierarchies"
    - "theory and practice of finding eviction sets"
    - "dissecting gpu memory hierarchy through microbenchmarking"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"

Connected through hyperedge HE-4 (induced by source paper "analytic performance modeling and analysis of detailed neuron simulations"):
  with members:
    - "on the accuracy and usefulness of analytic energy models for contemporary multicore processors"
    - "automated instruction stream throughput prediction for intel and amd microarchitectures"
    - "an analysis of core and chip level architectural features in four generations of intel server processors"
    - "kerncraft a tool for analytic performance modeling of loop kernels"
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "introducing a performance model for bandwidth limited loop kernels"

Connected through hyperedge HE-5 (induced by source paper "a recursive algebraic coloring technique for hardware efficient symmetric sparse matrix vector multiplication"):
  with members:
    - "chebyshev filter diagonalization on modern manycore processors and gpgpus"
    - "speculative segmented sum for sparse matrix vector multiplication on heterogeneous processors"
    - "a unified sparse matrix data format for efficient general sparse matrix vector multiplication on modern processors with wide simd units"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "a tutorial on spectral clustering"

Connected through hyperedge HE-6 (induced by source paper "predictive performance modeling for distributed batch processing using black box monitoring and machine learning"):
  with members:
    - "job placement advisor based on turnaround predictions for hpc hybrid clouds"
    - "algorithm runtime prediction methods evaluation"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "cloud computing and grid computing 360 degree compared"
    - "using regression techniques to predict large data transfers"

Connected through hyperedge HE-7 (induced by source paper "algorithms and data structures for matrix free finite element operators with mpi parallel sparse multi vectors"):
  with members:
    - "ghost building blocks for high performance sparse linear algebra on heterogeneous systems"
    - "a unified sparse matrix data format for efficient general sparse matrix vector multiplication on modern processors with wide simd units"
    - "an optimized sparse approximate matrix multiply for matrices with decay"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"

Connected through hyperedge HE-8 (induced by source paper "mpcdf hpc performance monitoring system enabling insight via job specific analysis"):
  with members:
    - "online anomaly detection in hpc systems"
    - "big data meets hpc log analytics scalable approach to understanding systems at extreme scale"
    - "likwid monitoring stack a flexible framework enabling job specific performance monitoring for the masses"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"

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)