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: "stateful dataflow multigraphs a data centric model for performance portability on heterogeneous architectures"
  Abstract: The ubiquity of accelerators in high-performance computing has driven programming complexity beyond the skill-set of the average domain scientist. To maintain performance portability in the future, it is imperative to decouple architecture-specific programming paradigms from the underlying scientific computations. We present the Stateful DataFlow multiGraph (SDFG), a data-centric intermediate representation that enables separating program definition from its optimization. By combining fine-grained data dependencies with high-level control-flow, SDFGs are both expressive and amenable to program transformations, such as tiling and double-buffering. These transformations are applied to the SDFG in an interactive process, using extensible pattern matching, graph rewriting, and a graphical user interface. We demonstrate SDFGs on CPUs, GPUs, and FPGAs over various motifs --- from fundamental computational kernels to graph analytics. We show that SDFGs deliver competitive performance, allowing domain scientists to develop applications naturally and port them to approach peak hardware performance without modifying the original scientific code.

Connected through hyperedge HE-1 (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"
    - "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"
    - "multicore optimized wavefront diamond blocking for optimizing stencil updates"
    - "cudnn efficient primitives for deep learning"

Connected through hyperedge HE-2 (induced by source paper "hlslib software engineering for hardware design"):
  with members:
    - "streaming message interface high performance distributed memory programming on reconfigurable hardware"
    - "transformations of high level synthesis codes for high performance computing"
    - "combined spatial and temporal blocking for high performance stencil computation on fpgas using opencl"

Connected through hyperedge HE-3 (induced by source paper "a data centric approach to extreme scale ab initio dissipative quantum transport simulations"):
  with members:
    - "optimizing the data movement in quantum transport simulations via data centric parallel programming"

Connected through hyperedge HE-4 (induced by source paper "optimizing the data movement in quantum transport simulations via data centric parallel programming"):
  with members:
    - "a data centric approach to extreme scale ab initio dissipative quantum transport simulations"

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.PL(Programming Languages)