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 "efficient compilation to event driven task programs"):
  Abstract: As illustrated by the emergence of a class of new languages and runtimes, it is expected that a large portion of the programs to run on extreme scale computers will need to be written as graphs of event-driven tasks (EDTs). EDT runtime systems, which schedule such collections of tasks, enable more concurrency than traditional runtimes by reducing the amount of inter-task synchronization, improving dynamic load balancing and making more operations asynchronous. #R##N#We present an efficient technique to generate such task graphs from a polyhedral representation of a program, both in terms of compilation time and asymptotic execution time. Task dependences become materialized in different forms, depending upon the synchronization model available with the targeted runtime. #R##N#We explore the different ways of programming EDTs using each synchronization model, and identify important sources of overhead associated with them. We evaluate these programming schemes according to the cost they entail in terms of sequential start-up, in-flight task management, space used for synchronization objects, and garbage collection of these objects. #R##N#While our implementation and evaluation take place in a polyhedral compiler, the presented overhead cost analysis is useful in the more general context of automatic code generation.

Includes members:
  Member "a tale of three runtimes":
    also connected through other hyperedges:
      (none)
  Member "the octagon abstract domain":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "reludiff differential verification of deep neural networks")

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)