Search Results - "Gerofi, Balazs"

"Big Data Assimilation" Toward Post-Petascale Severe Weather Prediction: An Overview and Progress by Miyoshi, Takemasa, Liao, Jianwei, Gerofi, Balazs, Ishikawa, Yutaka, Kunii, Masaru, Ruiz, Juan, Maejima, Yasumitsu, Otsuka, Shigenori, Otsuka, Michiko, Okamoto, Kozo, Seko, Hiromu, Lien, Guo-Yuan, Satoh, Shinsuke, Ushio, Tomoo, Bessho, Kotaro, Tomita, Hirofumi, Nishizawa, Seiya, Yoshida, Ryuji, Adachi, Sachiho A.

“…Following the invention of the telegraph, electronic computer, and remote sensing, "big data" is bringing another revolution to weather prediction. As sensor…”
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High-speed classification of coherent X-ray diffraction patterns on the K computer for high-resolution single biomolecule imaging by Tokuhisa, Atsushi, Arai, Junya, Joti, Yasumasa, Ohno, Yoshiyuki, Kameyama, Toyohisa, Yamamoto, Keiji, Hatanaka, Masayuki, Gerofi, Balazs, Shimada, Akio, Kurokawa, Motoyoshi, Shoji, Fumiyoshi, Okada, Kensuke, Sugimoto, Takashi, Yamaga, Mitsuhiro, Tanaka, Ryotaro, Yokokawa, Mitsuo, Hori, Atsushi, Ishikawa, Yutaka, Hatsui, Takaki, Go, Nobuhiro

“…Single‐particle coherent X‐ray diffraction imaging using an X‐ray free‐electron laser has the potential to reveal the three‐dimensional structure of a…”
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Page Type-Aware Full-Sequence Program Scheduling via Reinforcement Learning in High Density SSDs by Li, Jun, Cai, Zhigang, Gerofi, Balazs, Ishikawa, Yutaka, Liao, Jianwei

“…Full-sequence program (FSP) can program multiple bits simultaneously, and thus complete a multiple-page write at one time for naturally enhancing write…”
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Adaptive Management With Request Granularity for DRAM Cache Inside nand-Based SSDs by Lin, Haodong, Li, Jun, Sha, Zhibing, Cai, Zhigang, Shi, Yuanquan, Gerofi, Balazs, Liao, Jianwei

“…Most flash-based solid-state drives (SSDs) adopt an onboard dynamic random access memory (DRAM) to buffer hot write data. Then, the write or overwrite…”
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On the Scalability, Performance Isolation and Device Driver Transparency of the IHK/McKernel Hybrid Lightweight Kernel by Gerofi, Balazs, Takagi, Masamichi, Hori, Atsushi, Nakamura, Gou, Shirasawa, Tomoki, Ishikawa, Yutaka

“…Extreme degree of parallelism in high-end computing requires low operating system noise so that large scale, bulk-synchronous parallel applications can be run…”
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An international survey on MPI users by Hori, Atsushi, Jeannot, Emmanuel, Bosilca, George, Ogura, Takahiro, Gerofi, Balazs, Yin, Jie, Ishikawa, Yutaka

“…The Message Passing Interface (MPI) plays a crucial part in the parallel computing ecosystem, a driving force behind many of the high-performance computing…”
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Prefetching on Storage Servers through Mining Access Patterns on Blocks by Jianwei Liao, Trahay, Francois, Gerofi, Balazs, Ishikawa, Yutaka

“…Distributed file systems have been widely deployed as back-end storage systems to offer I/O services for parallel/distributed applications that process large…”
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A Scalability Study of Data Exchange in HPC Multi-component Workflows by Yin, Jie, Hori, Atsushi, Gerofi, Balazs, Ishikawa, Yutaka

“…Multi-component workflows play a significant role in High-Performance Computing and Big Data applications. They usually contain multiple, independently…”
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Utilizing memory content similarity for improving the performance of highly available virtual machines by Gerofi, Balazs, Vass, Zoltan, Ishikawa, Yutaka

“…Checkpoint-recovery based Virtual Machine (VM) replication is an emerging approach towards accommodating VM installations with high availability. However, it…”
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A flexible I/O arbitration framework for netCDF‐based big data processing workflows on high‐end supercomputers by Liao, Jianwei, Gerofi, Balazs, Lien, Guo‐Yuan, Miyoshi, Takemasa, Nishizawa, Seiya, Tomita, Hirofumi, Liao, Wei‐Keng, Choudhary, Alok, Ishikawa, Yutaka

“…Summary On the verge of the convergence between high‐performance computing and Big Data processing, it has become increasingly prevalent to deploy large‐scale…”
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Invited Talk 2 by Gerofi, Balazs

“…Provides an abstract of the invited presentation and may include a brief professional biography of the presenter. The complete presentation was not made…”
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Exploring Data Migration for Future Deep-Memory Many-Core Systems by Perarnau, Swann, Zounmevo, Judicael A., Gerofi, Balazs, Iskra, Kamil, Beckman, Pete

“…Upcoming high-performance computing (HPC) platforms will have more complex memory hierarchies with high-bandwidth on-package memory and in the future also…”
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Interface for heterogeneous kernels: A framework to enable hybrid OS designs targeting high performance computing on manycore architectures by Shimosawa, Taku, Gerofi, Balazs, Takagi, Masamichi, Nakamura, Gou, Shirasawa, Tomoki, Saeki, Yuji, Shimizu, Masaaki, Hori, Atsushi, Ishikawa, Yutaka

“…Turning towards exascale systems and beyond, it has been widely argued that the currently available systems software is not going to be feasible due to various…”
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Message from the ROSS 2022 Workshop Chairs

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Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning by Nguyen, Truong Thao, Trahay, Francois, Domke, Jens, Drozd, Aleksandr, Vatai, Emil, Liao, Jianwei, Wahib, Mohamed, Gerofi, Balazs

“…Stochastic gradient descent (SGD) is the most prevalent algorithm for training Deep Neural Networks (DNN). SGD iterates the input data set in each training…”
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RDMA Based Replication of Multiprocessor Virtual Machines over High-Performance Interconnects by Gerofi, B., Ishikawa, Y.

“…With the growing prevalence of cloud computing and the increasing number of CPU cores in modern processors, symmetric multiprocessing (SMP) Virtual Machines…”
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A Framework for Automatic Validation and Application of Lossy Data Compression in Ensemble Data Assimilation by Keller, Kai, Yashiro, Hisashi, Wahib, Mohamed, Gerofi, Balazs, Kestelman, Adrian Cristal, Bautista-Gomez, Leonardo

“…Ensemble data assimilation techniques form an indispensable part of numerical weather prediction. As the ensemble size grows and model resolution increases,…”
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An Efficient Process Live Migration Mechanism for Load Balanced Distributed Virtual Environments by Gerofi, B, Fujita, H, Ishikawa, Y

“…Distributed virtual environments (DVE), such as multi-player online games and distributed simulations may involve a massive amount of concurrent clients…”
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An Implementation of User-Level Processes using Address Space Sharing by Hori, Atsushi, Gerofi, Balazs, Ishikawa, Yutaka

“…There is a wide range of implementation approaches to multi-threading. User-level threads are efficient because threads can be scheduled by a user-defined…”
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KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training by Nguyen, Truong Thao, Gerofi, Balazs, Martinez-Noriega, Edgar Josafat, Trahay, François, Wahib, Mohamed

“…This paper proposes a method for hiding the least-important samples during the training of deep neural networks to increase efficiency, i.e., to reduce the…”
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