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 "tabularosa tabular operating system architecture for massively parallel heterogeneous compute engines"):
  Abstract: The rise in computing hardware choices is driving a reevaluation of operating systems. The traditional role of an operating system controlling the execution of its own hardware is evolving toward a model whereby the controlling processor is distinct from the compute engines that are performing most of the computations. In this context, an operating system can be viewed as software that brokers and tracks the resources of the compute engines and is akin to a database management system. To explore the idea of using a database in an operating system role, this work defines key operating system functions in terms of rigorous mathematical semantics (associative array algebra) that are directly translatable into database operations. These operations possess a number of mathematical properties that are ideal for parallel operating systems by guaranteeing correctness over a wide range of parallel operations. The resulting operating system equations provide a mathematical specification for a Tabular Operating System Architecture (TabulaROSA) that can be implemented on any platform. Simulations of forking in TabularROSA are performed using an associative array implementation and compared to Linux on a 32,000+ core supercomputer. Using over 262,000 forkers managing over 68,000,000,000 processes, the simulations show that TabulaROSA has the potential to perform operating system functions on a massively parallel scale. The TabulaROSA simulations show 20x higher performance as compared to Linux while managing 2000x more processes in fully searchable tables.

Includes members:
  Member "scalable system scheduling for hpc and big data":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "interactive launch of 16 000 microsoft windows instances on a supercomputer")
  Member "polystore mathematics of relational algebra":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "ai data wrangling with associative arrays")
  Member "enabling massive deep neural networks with the graphblas":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ai data wrangling with associative arrays")
  Member "novel graph processor architecture prototype system and results":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a survey on graph processing accelerators challenges and opportunities")
  Member "associative array model of sql nosql and newsql databases":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "ai data wrangling with associative arrays")
  Member "julia implementation of the dynamic distributed dimensional data model":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "hyperscaling internet graph analysis with d4m on the mit supercloud")
  Member "graphulo implementation of server side sparse matrix multiply in the accumulo database":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "streaming 1 9 billion hypersparse network updates per second with d4m")
  Member "graphulo linear algebra graph kernels for nosql databases":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a systematic survey of general sparse matrix matrix multiplication")

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.DC(Distributed, Parallel, and Cluster Computing)