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: "multicore optimized wavefront diamond blocking for optimizing stencil updates"
  Abstract: The importance of stencil-based algorithms in computational science has focused attention on optimized parallel implementations for multilevel cache-based processors. Temporal blocking schemes leverage the large bandwidth and low latency of caches to accelerate stencil updates and approach theoretical peak performance. A key ingredient is the reduction of data traffic across slow data paths, especially the main memory interface. In this work we combine the ideas of multicore wavefront temporal blocking and diamond tiling to arrive at stencil update schemes that show large reductions in memory pressure compared to existing approaches. The resulting schemes show performance advantages in bandwidth-starved situations, which are exacerbated by the high bytes per lattice update case of variable coefficients. Our thread groups concept provides a controllable trade-off between concurrency and memory usage, shifting the pressure between the memory interface and the CPU. We present performance results on a contemp...

Connected through hyperedge HE-1 (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"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"

Connected through hyperedge HE-2 (induced by source paper "a versatile software systolic execution model for gpu memory bound kernels"):
  with members:
    - "regdem increasing gpu performance via shared memory register spilling"
    - "stateful dataflow multigraphs a data centric model for performance portability on heterogeneous architectures"
    - "dissecting the nvidia turing t4 gpu via microbenchmarking"
    - "combined spatial and temporal blocking for high performance stencil computation on fpgas using opencl"
    - "dissecting the nvidia volta gpu architecture via microbenchmarking"
    - "in datacenter performance analysis of a tensor processing unit"
    - "cudnn efficient primitives for deep learning"

Connected through hyperedge HE-3 (induced by source paper "loop tiling in large scale stencil codes at run time with ops"):
  with members:
    - "opensbli a framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures"
    - "optimization of an electromagnetics code with multicore wavefront diamond blocking and multi dimensional intra tile parallelization"

Connected through hyperedge HE-4 (induced by source paper "the swept rule for breaking the latency barrier in time advancing two dimensional pdes"):
  with members:
    - "the swept rule for breaking the latency barrier in time advancing pdes"
    - "lu factorization with panel rank revealing pivoting and its communication avoiding version"
    - "minimizing communication in linear algebra"

Connected through hyperedge HE-5 (induced by source paper "multi dimensional intra tile parallelization for memory starved stencil computations"):
  with members:
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "optimizing the performance of streaming numerical kernels on the ibm blue gene p powerpc 450 processor"
    - "efficient multicore aware parallelization strategies for iterative stencil computations"
    - "leveraging shared caches for parallel temporal blocking of stencil codes on multicore processors and clusters"
    - "introducing a performance model for bandwidth limited loop kernels"

Connected through hyperedge HE-6 (induced by source paper "optimization of an electromagnetics code with multicore wavefront diamond blocking and multi dimensional intra tile parallelization"):
  with members:
    - "multi dimensional intra tile parallelization for memory starved stencil computations"
    - "quantifying performance bottlenecks of stencil computations using the execution cache memory model"
    - "likwid a lightweight performance oriented tool suite for x86 multicore environments"
    - "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)