Search Results - "Kazutomo, Yoshii"
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Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components
Published in IEEE transactions on parallel and distributed systems (01-02-2018)“…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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Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks
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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NUMA-AWARE DATA MANAGEMENT FOR NEUTRON CROSS SECTION DATA IN CONTINUOUS ENERGY MONTE CARLO NEUTRON TRANSPORT SIMULATION
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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Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware
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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Parallel Application Power and Performance Prediction Modeling Using Simulation
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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RECO-ASCON: Reconfigurable ASCON hash functions for IoT applications
Published in Integration (Amsterdam) (01-11-2023)Get full text
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Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing
Published in Future generation computer systems (01-02-2025)“…The Joint Laboratory on Extreme-Scale Computing (JLESC) was initiated at the same time lossy compression for scientific data became an important topic for the…”
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Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components
Published in IEEE transactions on parallel and distributed systems (28-07-2017)“…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 -
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What Does the Post-Moore Era Mean for Research Software Engineering?
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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Educating for Hardware Specialization in the Chiplet Era: A Path for the HPC Community
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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Minimizing Thermal Variation in Heterogeneous HPC Systems with FPGA Nodes
Published in 2018 IEEE 36th International Conference on Computer Design (ICCD) (01-10-2018)“…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 -
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Benchmarking the effects of operating system interference on extreme-scale parallel machines
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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13
Pushing compute and AI onto detector silicon
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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Evaluating Power-Monitoring Capabilities on IBM Blue Gene/P and Blue Gene/Q
Published in 2012 IEEE International Conference on Cluster Computing (01-09-2012)“…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
Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware
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…”
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16
Performance and Scalability Evaluation of ‘Big Memory’ on Blue Gene Linux
Published in The international journal of high performance computing applications (01-05-2011)“…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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Optimizing ASCON Permutation in Multi-Clock Domains with Chisel: Resource Efficiency and Critical Path Reduction
Published in 2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS) (19-04-2024)“…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 -
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Energy-Efficient Heterogeneous Computing of Parallel Applications via Power Capping
Published in 2020 International Conference on Computational Science and Computational Intelligence (CSCI) (01-12-2020)“…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
Published in 2021 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP) (01-11-2021)“…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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Enabling Demand Response for HPC Systems through Power Capping and Node Scaling
Published in 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (01-06-2018)“…Demand response is an increasingly popular program ensuring power grid stability during a sudden surge in power demand. We expect high-performance computing…”
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Conference Proceeding