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 "deterministic parallel fixpoint computation"):
  Abstract: Abstract interpretation is a general framework for expressing static program analyses. It reduces the problem of extracting properties of a program to computing a fixpoint of a system of equations. The de facto approach for computing this fixpoint uses a sequential algorithm based on weak topological order (WTO). This paper presents a deterministic parallel algorithm for fixpoint computation by introducing the notion of weak partial order (WPO). We present an algorithm for constructing a WPO in almost-linear time. Finally, we describe our deterministic parallel abstract interpreter PIKOS. We evaluate the performance of PIKOS on a suite of 207 C programs. We observe a maximum speedup of 9.38x when using 16 cores compared to the existing WTO-based sequential abstract interpreter.

Includes members:
  Member "abstract interpretation with higher dimensional ellipsoids and conic extrapolation":
    also connected through other hyperedges:
      (none)
  Member "efficiently intertwining widening and narrowing":
    also connected through other hyperedges:
      (none)
  Member "a new numerical abstract domain based on difference bound matrices":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a hypergraph based approach for the 4 constraint satisfaction problem tractability")
  Member "relational abstract domains for the detection of floating point run time errors":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploiting verified neural networks via floating point numerical error")
  Member "the octagon abstract domain":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "reludiff differential verification of deep neural networks")
  Member "the parallel implementation of the astree static analyzer":
    also connected through other hyperedges:
      (none)

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.PL(Programming Languages)