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 "energy transparency for deeply embedded programs"):
  Abstract: Energy transparency is a concept that makes a program’s energy consumption visible, from hardware up to software, through the different system layers. Such transparency can enable energy optimizations at each layer and between layers, as well as help both programmers and operating systems make energy-aware decisions. In this article, we focus on deeply embedded devices, typically used for Internet of Things (IoT) applications, and demonstrate how to enable energy transparency through existing static resource analysis (SRA) techniques and a new target-agnostic profiling technique, without hardware energy measurements. Our novel mapping technique enables software energy consumption estimations at a higher level than the Instruction Set Architecture (ISA), namely the LLVM intermediate representation (IR) level, and therefore introduces energy transparency directly to the LLVM optimizer. We apply our energy estimation techniques to a comprehensive set of benchmarks, including single- and multithreaded embedded programs from two commonly used concurrency patterns: task farms and pipelines. Using SRA, our LLVM IR results demonstrate a high accuracy with a deviation in the range of 1% from the ISA SRA. Our profiling technique captures the actual energy consumption at the LLVM IR level with an average error of 3%.

Includes members:
  Member "entra whole systems energy transparency":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "lost in translation exposing hidden compiler optimization opportunities")
  Member "data dependent energy modelling a worst case perspective":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the limitations of analyzing worst case dynamic energy of processing")
  Member "a high level model of embedded flash energy consumption":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the limitations of analyzing worst case dynamic energy of processing")
  Member "static analysis of energy consumption for llvm ir programs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "resource analysis driven by conditional termination proofs")
  Member "optimizing the flash ram energy trade off in deeply embedded systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "data dependent energy modeling for worst case energy consumption analysis")
  Member "bound analysis of imperative programs with the size change abstraction extended version":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the value and limits of multi level energy consumption static analysis for deeply embedded single and multi threaded programs")

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.OH(Other Computer Science)