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 "design configuration implementation and performance of a simple 32 core raspberry pi cluster"):
  Abstract: In this report, I describe the design and implementation of an inexpensive, eight node, 32 core, cluster of raspberry pi single board computers, as well as the performance of this cluster on two computational tasks, one that requires significant data transfer relative to computational time requirements, and one that does not. We have two use-cases for the cluster: (a) as an educational tool for classroom usage, such as covering parallel algorithms in an algorithms course; and (b) as a test system for use during the development of parallel metaheuristics, essentially serving as a personal desktop parallel computing cluster. Our preliminary results show that the slow 100 Mbps networking of the raspberry pi significantly limits such clusters to parallel computational tasks that are either long running relative to data communications requirements, or that which requires very little internode communications. Additionally, although the raspberry pi 3 has a quad-core processor, parallel speedup degrades during attempts to utilize all four cores of all cluster nodes for a parallel computation, likely due to resource contention with operating system level processes. However, distributing a task across three cores of each cluster node does enable linear (or near linear) speedup.

Includes members:
  Member "variable annealing length and parallelism in simulated annealing":
    also connected through other hyperedges:
      (none)
  Member "communication optimal parallel algorithm for strassen s matrix multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "engineering boolean matrix multiplication for multiple accelerator shared memory architectures")

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)