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  1. 1

    Accelerating Decision-Tree-Based Inference Through Adaptive Parallelization by Van Lunteren, Jan

    Published: IEEE 21.10.2023
    “… They are applied to a broad spectrum of applications as diverse as search engine ranking, credit card fraud detection, customer relationship management, fault diagnosis in machinery, and geological…”
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    Conference Proceeding
  2. 2

    LEGION: Best-First Concolic Testing by Liu, Dongge, Ernst, Gidon, Murray, Toby, Rubinstein, Benjamin I.P.

    ISSN: 2643-1572
    Published: ACM 01.09.2020
    “… How to achieve the best of both remains an open challenge. To address this research problem, we propose and evaluate Legion…”
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    Conference Proceeding
  3. 3

    Code Difference Guided Adversarial Example Generation for Deep Code Models by Tian, Zhao, Chen, Junjie, Jin, Zhi

    ISSN: 2643-1572
    Published: IEEE 11.09.2023
    “… Moreover, the adversarial example generation techniques specific to deep code models still suffer from unsatisfactory effectiveness due to the enormous ingredient search space…”
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    Conference Proceeding
  4. 4

    PertNAS: Architectural Perturbations for Memory-Efficient Neural Architecture Search by Ahmad, Afzal, Xie, Zhiyao, Zhang, Wei

    Published: IEEE 09.07.2023
    “… In this way, it extracts high-quality motifs from the search space. We utilize these perturbations to perform NAS in compact models evolving over time to traverse the search space…”
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    Conference Proceeding
  5. 5

    Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search by Hartmann, Jakob, He, Guoliang, Yoneki, Eiko

    Published: ACM 13.10.2024
    “…The real-world effectiveness of deep neural networks often depends on their latency, thereby necessitating optimization techniques that can reduce a model's…”
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    Conference Proceeding
  6. 6

    Adaptive bug isolation by Arumuga Nainar, Piramanayagam, Liblit, Ben

    ISBN: 9781605587196, 1605587192
    ISSN: 0270-5257
    Published: New York, NY, USA ACM 01.05.2010
    “… We formulate this approach as a search on the control-dependence graph of the program. We present and evaluate various heuristics that can be used for this search…”
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    Conference Proceeding
  7. 7

    Graph Representation Learning for Microarchitecture Design Space Exploration by Yi, Xiaoling, Lu, Jialin, Xiong, Xiankui, Xu, Dong, Shang, Li, Yang, Fan

    Published: IEEE 09.07.2023
    “…Design optimization of modern microprocessors is a complex task due to the exponential growth of the design space…”
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    Conference Proceeding
  8. 8

    Neuromorphic Monte Carlo Tree Search Methods for Shortest Path Interdiction by Ho, Yang, Carbajal, Armida, Escamilla, Leonardo, Pinar, Ali

    Published: IEEE 30.07.2024
    “…Monte Carlo tree search (MCTS) is a commonly used heuristic algorithm to explore extremely large search spaces for decision making in general and for tackling Stackelberg games in particular…”
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    Conference Proceeding
  9. 9

    Beyond the Yield Barrier: Variational Importance Sampling Yield Analysis by Liu, Yanfang, He, Lei, Xing, Wei W.

    ISSN: 1558-2434
    Published: ACM 27.10.2024
    “…Optimal mean shift vector (OMSV)-based importance sampling methods have long been prevalent in yield estimation and optimization as an industry standard…”
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    Conference Proceeding
  10. 10

    A Tree Based Router Search Engine Architecture with Single Port Memories by Baboescu, Florin, Tullsen, Dean M., Rosu, Grigore, Singh, Sumeet

    ISBN: 076952270X, 9780769522708
    ISSN: 1063-6897
    Published: Washington, DC, USA IEEE Computer Society 01.05.2005
    “…Pipelined forwarding engines are used in core routers to meet speed demands. Tree-based searches are pipelined across a number of stages to achieve high throughput, but this results in unevenly distributed memory…”
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    Conference Proceeding
  11. 11

    An Evolutionary Framework for Analyzing the Distance Preserving Property of Weighted Graphs by Zahedi, Emad, Mirmomeni, Masoud, Esfahanian, Abdol-Hossein

    ISBN: 1450349935, 9781450349932
    ISSN: 2473-991X
    Published: New York, NY, USA ACM 31.07.2017
    “… Here, we propose a biologically-inspired search algorithm to address the problem of finding isometric subgraphs that consequently determines if a given graph is distance preserving…”
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    Conference Proceeding
  12. 12

    An improved thermodynamic simulated annealing-based approach for resource-skewness-aware and power-efficient virtual machine consolidation in cloud datacenters by Saeedi, Pedram, Hosseini Shirvani, Mirsaeid

    ISSN: 1432-7643, 1433-7479
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2021
    Published in Soft computing (Berlin, Germany) (01.04.2021)
    “…Cloud computing attracted great attention in both industry and research communities for the sake of its ubiquitous, elasticity and economic services…”
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    Journal Article
  13. 13

    Quantum Circuit Compilers Using Gate Commutation Rules by Itoko, Toshinari, Raymond, Rudy, Imamichi, Takashi, Matsuo, Atsushi, Cross, Andrew W.

    ISSN: 2153-697X
    Published: ACM 21.01.2019
    “…The use of noisy intermediate-scale quantum computers (NISQCs), which consist of dozens of noisy qubits with limited coupling constraints, has been increasing…”
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    Conference Proceeding
  14. 14

    Efficient DWT-based fusion techniques using genetic algorithm for optimal parameter estimation by Kavitha, S., Thyagharajan, K. K.

    ISSN: 1432-7643, 1433-7479
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2017
    Published in Soft computing (Berlin, Germany) (01.06.2017)
    “… In this research work, discrete wavelet transform (DWT) and undecimated discrete wavelet transform (UDWT…”
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    Journal Article
  15. 15

    A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L by Yoo, Andy, Chow, Edmond, Henderson, Keith, McLendon, William, Hendrickson, Bruce, Catalyurek, Umit

    ISBN: 1595930612, 9781595930613
    Published: Washington, DC, USA IEEE Computer Society 2005
    “… This paper presents a distributed breadth- first search (BFS) scheme that scales for random graphs with up to three billion vertices and 30 billion edges…”
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    Conference Proceeding
  16. 16

    Faster Greedy Optimization of Resistance-based Graph Robustness by Predari, Maria, Kooij, Robert, Meyerhenke, Henning

    Published: IEEE 10.11.2022
    “… The pseudoinverse may be computed explicitly via pseudoinversion; yet, this takes cubic time in practice and quadratic space…”
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    Conference Proceeding
  17. 17

    DiffSAT: Differential MaxSAT Layer for SAT Solving by Zhang, Yu, Zhen, Hui-Ling, Yuan, Mingxuan, Yu, Bei

    ISSN: 1558-2434
    Published: ACM 27.10.2024
    “…) framework to efficiently search the solution space and resolve conflicts during the search process…”
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    Conference Proceeding
  18. 18

    Improved arithmetic optimization algorithm for patient admission scheduling problem by Alawad, Noor Aldeen, Abed-alguni, Bilal H., Saleh, Israa I.

    ISSN: 1432-7643, 1433-7479
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024
    Published in Soft computing (Berlin, Germany) (01.04.2024)
    “… it. The arithmetic optimization algorithm (AOA) is a new optimization algorithm that can effectively solve both continuous and discrete optimization problems…”
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    Journal Article
  19. 19

    Iterated local search using an add and delete hyper-heuristic for university course timetabling by Soria-Alcaraz, Jorge A., Özcan, Ender, Swan, Jerry, Kendall, Graham, Carpio, Martin

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.03.2016
    Published in Applied soft computing (01.03.2016)
    “…).•An effective hyper-heuristic approach operating with ADLs is proposed.•Low level heuristics perform search over the space of feasible solutions…”
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    Journal Article
  20. 20

    Efficient SAT solving: beyond supercubes by Babić, Domagoj, Bingham, Jesse, Hu, Alan J.

    ISBN: 1595930582, 9781595930583
    Published: New York, NY, USA ACM 13.06.2005
    “… Recently, Goldberg et al introduced supercubing, a different approach to search-space pruning, based on a theory that unifies many existing methods…”
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