Search Results - "Kazutomo, Yoshii"

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  1. 1

    Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components by Kaicheng Zhang, Guliani, Akhil, Ogrenci-Memik, Seda, Memik, Gokhan, Yoshii, Kazutomo, Sankaran, Rajesh, Beckman, Pete

    “…Elevated temperatures limit the peak performance of systems because of frequent interventions by thermal throttling. Non-uniform thermal states across system…”
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    Journal Article
  2. 2

    Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks by Sanaullah, Ahmed, Yang, Chen, Alexeev, Yuri, Yoshii, Kazutomo, Herbordt, Martin C

    Published in BMC bioinformatics (21-12-2018)
    “…Real-time analysis of patient data during medical procedures can provide vital diagnostic feedback that significantly improves chances of success. With sensors…”
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    Journal Article
  3. 3

    NUMA-AWARE DATA MANAGEMENT FOR NEUTRON CROSS SECTION DATA IN CONTINUOUS ENERGY MONTE CARLO NEUTRON TRANSPORT SIMULATION by Denoyelle, Nicolas, Tramm, John, Yoshii, Kazutomo, Perarnau, Swann, Beckman, Pete

    Published in EPJ Web of conferences (01-01-2021)
    “…The calculation of macroscopic neutron cross-sections is a fundamental part of the continuous-energy Monte Carlo (MC) neutron transport algorithm. MC…”
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    Journal Article
  4. 4

    Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware by Tramm, John, Allen, Bryce, Yoshii, Kazutomo, Siegel, Andrew, Wilson, Leighton

    Published in Computer physics communications (01-05-2024)
    “…The recent trend toward deep learning has led to the development of a variety of highly innovative AI accelerator architectures. One such architecture, the…”
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    Journal Article
  5. 5

    Parallel Application Power and Performance Prediction Modeling Using Simulation by Ahmed, Kishwar, Yoshii, Kazutomo, Tasnim, Samia

    Published in 2021 Winter Simulation Conference (WSC) (12-12-2021)
    “…High performance computing (HPC) system runs compute-intensive parallel applications requiring large number of nodes. An HPC system consists of heterogeneous…”
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    Conference Proceeding
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    Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components by Zhang, Kaicheng, Guliani, Akhil, Ogrenci-Memik, Seda, Memik, Gokhan, Yoshii, Kazutomo, Sankaran, Rajesh, Beckman, Pete

    “…Elevated temperatures limit the peak performance of systems because of frequent interventions by thermal throttling. Non-uniform thermal states across system…”
    Get full text
    Journal Article
  9. 9

    What Does the Post-Moore Era Mean for Research Software Engineering? by Yoshii, Kazutomo

    Published 10-11-2021
    “…We are entering the post-Moore era where we no longer enjoy the free ride of the performance growth from simply shrinking the transistor features. However,…”
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    Journal Article
  10. 10

    Educating for Hardware Specialization in the Chiplet Era: A Path for the HPC Community by Yoshii, Kazutomo, El-Hadedy, Mohamed

    Published 30-10-2024
    “…The advent of chiplet technology introduces cutting-edge opportunities for constructing highly heterogeneous platforms with specialized accelerators. However,…”
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    Journal Article
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    Minimizing Thermal Variation in Heterogeneous HPC Systems with FPGA Nodes by Luo, Yingyi, Wang, Xiaoyang, Ogrenci-Memik, Seda, Memik, Gokhan, Yoshii, Kazutomo, Beckman, Pete

    “…The presence of FPGAs in data centers has been growing due to their superior performance as accelerators. Thermal management, particularly battling the cooling…”
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    Conference Proceeding
  12. 12

    Benchmarking the effects of operating system interference on extreme-scale parallel machines by Beckman, Pete, Iskra, Kamil, Yoshii, Kazutomo, Coghlan, Susan, Nataraj, Aroon

    Published in Cluster computing (01-03-2008)
    “…We investigate operating system noise, which we identify as one of the main reasons for a lack of synchronicity in parallel applications. Using a…”
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    Journal Article
  13. 13

    Pushing compute and AI onto detector silicon by Miceli, Antonino, Yoshii, Kazutomo, Foster, Ian T

    Published 21-05-2022
    “…In order to take full advantage of the U.S. Department of Energy's billion-dollar investments into the next-generation research infrastructure (e.g., exascale,…”
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    Journal Article
  14. 14

    Evaluating Power-Monitoring Capabilities on IBM Blue Gene/P and Blue Gene/Q by Yoshii, K., Iskra, K., Gupta, R., Beckman, P., Vishwanath, V., Chenjie Yu, Coghlan, S.

    “…Power consumption is becoming a critical factor as we continue our quest toward exascale computing. Yet, actual power utilization of a complete system is an…”
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    Conference Proceeding
  15. 15

    Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware by Tramm, John, Allen, Bryce, Yoshii, Kazutomo, Siegel, Andrew, Wilson, Leighton

    Published 03-11-2023
    “…The recent trend toward deep learning has led to the development of a variety of highly innovative AI accelerator architectures. One such architecture, the…”
    Get full text
    Journal Article
  16. 16

    Performance and Scalability Evaluation of ‘Big Memory’ on Blue Gene Linux by Yoshii, Kazutomo, Iskra, Kamil, Naik, Harish, Beckman, Pete, Broekema, P. Chris

    “…We address memory performance issues observed in Blue Gene Linux and discuss the design and implementation of ‘Big Memory’——an alternative, transparent memory…”
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    Journal Article
  17. 17

    Optimizing ASCON Permutation in Multi-Clock Domains with Chisel: Resource Efficiency and Critical Path Reduction by El-Hadedy, Mohamed, Hua, Russell, Yoshii, Kazutomo, Hwu, Wen-Mei

    “…This study delves into optimizing the ASCON cryptographic protocol, specifically its core permutation function critical for the sponge-construction mechanism,…”
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    Conference Proceeding
  18. 18

    Energy-Efficient Heterogeneous Computing of Parallel Applications via Power Capping by Ahmed, Kishwar, Tasnim, Samia, Yoshii, Kazutomo

    “…High-performance computing (HPC) systems require significant energy to run their operations. A typical HPC system contains various heterogeneous hardware…”
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    Conference Proceeding
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    Designing a Streaming Data Coalescing Architecture for Scientific Detector ASICs with Variable Data Velocity by Strempfer, Sebastian, Yoshii, Kazutomo, Hammer, Mike, Bycul, Dawid, Miceli, Antonino

    “…Scientific detectors are a key technological enabler for many disciplines. Application-specific integrated circuits (ASICs) are used for many of these…”
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    Conference Proceeding
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