Search Results - "Agung, Mulya"

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  1. 1

    Preemptive Parallel Job Scheduling for Heterogeneous Systems Supporting Urgent Computing by Agung, Mulya, Watanabe, Yuta, Weber, Henning, Egawa, Ryusuke, Takizawa, Hiroyuki

    Published in IEEE access (2021)
    “…Dedicated infrastructures are commonly used for urgent computations. However, using dedicated resources is not always affordable due to budget constraints. As…”
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    Journal Article
  2. 2

    DeLoc: A Locality and Memory-Congestion-Aware Task Mapping Method for Modern NUMA Systems by Agung, Mulya, Amrizal, Muhammad Alfian, Egawa, Ryusuke, Takizawa, Hiroyuki

    Published in IEEE access (2020)
    “…The mapping of tasks to processor cores, called task mapping, is crucial to achieving scalable performance on multicore processors. On modern NUMA (non-uniform…”
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    Journal Article
  3. 3

    Alat Monitoring Suhu dan Tekanan Udara di Ruang Isolasi Kelas Negatif Berbasis IoT by Sentosa, Agung Mulya, Anugrah, Dena

    Published in Medika Teknika (Online) (30-04-2024)
    “…Penelitian ini bertujuan untuk menghasilkan alat monitoring suhu dan tekanan udara di ruang isolasi kelas negatif rumah sakit berbasis Internet of Things (IoT)…”
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    Journal Article
  4. 4

    High Performance CDR Processing with MapReduce by Agung, Mulya, Kistijantoro, A. Imam

    Published in Journal of ICT Research and Applications (01-01-2016)
    “…A call detail record (CDR) is a data record produced by telecommunication equipment consisting of call detail transaction logs. It contains valuable…”
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    Journal Article
  5. 5

    Evaluating I/O Acceleration Mechanisms of SX-Aurora TSUBASA by Sasaki, Yuta, Ishizuka, Ayumu, Agung, Mulya, Takizawa, Hiroyuki

    “…In a heterogeneous computing system, different kinds of processors might need to be involved in the execution of a file I/O operation. Since NEC SX-Aurora…”
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    Conference Proceeding
  6. 6

    Failure Prediction in Datacenters Using Unsupervised Multimodal Anomaly Detection by Zhao, Minglu, Furuhata, Reo, Agung, Mulya, Takizawa, Hiroyuki, Soma, Tomoya

    “…Predicting hard drive failures in datacenters can help avoid wasting resources and waiting time for recovery. Anomaly detection from sensing data is commonly…”
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    Conference Proceeding
  7. 7

    Automatic Hyperparameter Tuning of Machine Learning Models under Time Constraints by Wang, Zhen, Agung, Mulya, Egawa, Ryusuke, Suda, Reiji, Takizawa, Hiroyuki

    “…Most machine learning models use hyperparameters empirically defined in advance of their training processes in a time-consuming and try-and-error fashion…”
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    Conference Proceeding
  8. 8

    Conflict-aware workload co-execution on SX-aurora TSUBASA by Nunokawa, Riku, Shimomura, Yoichi, Agung, Mulya, Egawa, Ryusuke, Takizawa, Hiroyuki

    “…NEC SX-Aurora TSUBASA (SX-AT) is the latest vector supercomputer, consisting of host processors called Vector Hosts (VHs) and vector processors called Vector…”
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    Journal Article
  9. 9

    Use of Code Structural Features for Machine Learning to Predict Effective Optimizations by Kawarabatake, Yuki, Agung, Mulya, Komatsu, Kazuhiko, Egawa, Ryusuke, Takizawa, Hiroyuki

    “…Since it is difficult to explicitly express the underlying relationship between a code and appropriate optimizations for it, this paper discusses a possibility…”
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    Conference Proceeding
  10. 10

    Investigating the Effects of Dynamic Thread Team Size Adjustment for Irregular Applications by Xiao, Xiong, Agung, Mulya, Amrizal, Muhammad Alfian, Egawa, Ryusuke, Takizawa, Hiroyuki

    “…The OpenMP specification introduces thread team for hierarchical parallelism. A thread team is a team of synchronizable threads, and the number of threads in a…”
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    Conference Proceeding
  11. 11
  12. 12

    A Memory Congestion-Aware MPI Process Placement for Modern NUMA Systems by Agung, Mulya, Amrizal, Muhammad Alfian, Komatsu, Kazuhiko, Egawa, Ryusuke, Takizawa, Hiroyuki

    “…MPI process placement is an important step to achieve scalable performance on modern non-uniform memory access (NUMA) systems. A recent study on NUMA…”
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    Conference Proceeding
  13. 13

    A Failure Prediction-Based Adaptive Checkpointing Method with Less Reliance on Temperature Monitoring for HPC Applications by Amrizal, Muhammad Alfian, Li, Pei, Agung, Mulya, Egawa, Ryusuke, Takizawa, Hiroyuki

    “…Checkpointing with a constant checkpoint interval, a so-called constant checkpointing method, is commonly used in HPC field and has been proved to be the…”
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    Conference Proceeding
  14. 14

    Improving the Accuracy in SpMV Implementation Selection with Machine Learning by Furuhata, Reo, Zhao, Minglu, Agung, Mulya, Egawa, Ryusuke, Takizawa, Hiroyuki

    “…Although there are various ways of implementing sparse matrix vector multiplication (SpMV), there is no established way of predicting the best implementation…”
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    Conference Proceeding
  15. 15

    A Conflict-Aware Capacity Control Mechanism for Last-Level Cache by Liu, Jiaheng, Egawa, Ryusuke, Agung, Mulya, Takizawa, Hiroyuki

    “…As the number of cores on a processor chip increases, the capacity and the number of levels of the cache hierarchy increases, which causes higher energy…”
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    Conference Proceeding
  16. 16

    An Automatic MPI Process Mapping Method Considering Locality and Memory Congestion on NUMA Systems by Agung, Mulya, Amrizal, Muhammad Alfian, Egawa, Ryusuke, Takizawa, Hiroyuki

    “…MPI process mapping is an important step to achieve scalable performance on non-uniform memory access (NUMA) systems. Conventional approaches have focused only…”
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    Conference Proceeding
  17. 17

    Task Priority Control for the HPX Runtime System by Jiang, Suhang, Agung, Mulya, Egawa, Ryusuke, Takizawa, Hiroyuki

    “…High Performance ParalleX (HPX) is one of taskbased programming and execution models, which provides a C++ class library to describe tasks and their…”
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    Conference Proceeding
  18. 18

    The Impacts of Locality and Memory Congestion-aware Thread Mapping on Energy Consumption of Modern NUMA Systems by Agung, Mulya, Amrizal, Muhammad Alfian, Egawa, Ryusuke, Takizawa, Hiroyuki

    “…Thread mapping is crucial to improve the performance and energy consumption of modern NUMA systems. In this work, we investigate the impacts of locality and…”
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    Conference Proceeding
  19. 19

    High performance CDR processing with MapReduce by Agung, Mulya, Kistijantoro, A. Imam

    “…A Call Detail Record (CDR) is a data record produced by telecommunication equipment consisting of detail of call transaction logs. It contains valuable…”
    Get full text
    Conference Proceeding Journal Article
  20. 20

    Peachy Parallel Assignments (EduHPC 2019) by Agung, Mulya, Malony, Allen, Takizawa, Hiroyuki, Bunde, David P., Amrizal, Muhammad A., Bogaerts, Steven, Egawa, Ryusuke, Ellsworth, Daniel A., Fernandez-Fabeiro, Jorge, Gonzalez-Escribano, Arturo, Kundu, Sukhamay, Lazar, Alina

    “…Peachy Parallel assignments are high-quality assign- ments for teaching parallel and distributed computing. They have been successfully used in class and are…”
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    Conference Proceeding