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Kazutomo Yoshii
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2020 – today
- 2025
- [j9]Franck Cappello
, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang:
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. 163: 107323 (2025) - 2024
- [j8]John R. Tramm
Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware. Comput. Phys. Commun. 298: 109072 (2024) - [c27]Maksim Levental
BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. HEART 2024: 10-17 - [i7]Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024) - [i6]Sebastian Strempfer, Zichao Wendy Di, Kazutomo Yoshii, Yue Cao, Qingteng Zhang, Eric M. Dufresne, Mathew J. Cherukara, Suresh Narayanan, Martin V. Holt, Antonino Miceli, Tao Zhou:
Homomorphic data compression for real time photon correlation analysis. CoRR abs/2407.20356 (2024) - 2023
- [j7]Mohamed El-Hadedy
RECO-ASCON: Reconfigurable ASCON hash functions for IoT applications. Integr. 93: 102061 (2023) - [c26]Mohamed El-Hadedy
RECO-LFSR: Reconfigurable Low-power Cryptographic processor based on LFSR for Trusted IoT platforms. ISQED 2023: 1-7 - [c25]Kazutomo Yoshii
Streaming Hardware Compressor Generator Framework. SC Workshops 2023: 289-297 - [c24]Kazutomo Yoshii
Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area. SC Workshops 2023: 1274-1278 - [c23]Mohamed El-Hadedy
BLTESTI: Benchmarking Lightweight TinyJAMBU on Embedded Systems for Trusted IoT. SOCC 2023: 1-6 - [i5]Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster:
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. CoRR abs/2302.06751 (2023) - [i4]John R. Tramm, Bryce Allen, Kazutomo Yoshii, Andrew R. Siegel, Leighton Wilson:
Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware. CoRR abs/2311.01739 (2023) - 2021
- [j6]Yingyi Luo, Joshua C. Zhao, Arnav Aggarwal, Seda Ogrenci-Memik, Kazutomo Yoshii:
Thermal Management for FPGA Nodes in HPC Systems. ACM Trans. Design Autom. Electr. Syst. 26(2): 14:1-14:17 (2021) - [c22]Kazutomo Yoshii, Rajesh Sankaran, Sebastian Strempfer, Maksim Levental, Mike Hammer, Antonino Miceli:
A Hardware Co-design Workflow for Scientific Instruments at the Edge. SMC 2021: 209-226 - [c21]Kishwar Ahmed, Kazutomo Yoshii, Samia Tasnim:
Parallel Application Power and Performance Prediction Modeling Using Simulation. WSC 2021: 1-12 - [c20]Sebastian Strempfer, Kazutomo Yoshii, Mike Hammer, Dawid Bycul, Antonino Miceli:
Designing a Streaming Data Coalescing Architecture for Scientific Detector ASICs with Variable Data Velocity. XLOOP@SC 2021: 8-14 - [i3]Kazutomo Yoshii:
What Does the Post-Moore Era Mean for Research Software Engineering? CoRR abs/2111.05999 (2021) - 2020
- [c19]Kishwar Ahmed, Samia Tasnim, Kazutomo Yoshii:
Simulation of Auction Mechanism Model for Energy-Efficient High Performance Computing. SIGSIM-PADS 2020: 99-104
2010 – 2019
- 2019
- [p2]Kamil Iskra
ZeptoOS. Operating Systems for Supercomputers and High Performance Computing 2019: 161-181 - [p1]Swann Perarnau, Brian C. Van Essen, Roberto Gioiosa, Kamil Iskra
Argo. Operating Systems for Supercomputers and High Performance Computing 2019: 199-220 - [i2]Kazutomo Yoshii, John R. Tramm, Andrew R. Siegel, Peter H. Beckman:
Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system. CoRR abs/1909.03632 (2019) - 2018
- [j5]Ahmed Sanaullah, Chen Yang, Yuri Alexeev
Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks. BMC Bioinform. 19-S(18): 19-31 (2018) - [j4]Kaicheng Zhang, Akhil Guliani
Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components. IEEE Trans. Parallel Distributed Syst. 29(2): 405-419 (2018) - [c18]Zheming Jin, Kazutomo Yoshii:
Optimizations of Sequence Alignment on FPGA: A Case Study of Extended Sequence Alignment (Abstact Only). FPGA 2018: 285 - [c17]Kishwar Ahmed
Enabling Demand Response for HPC Systems through Power Capping and Node Scaling. HPCC/SmartCity/DSS 2018: 789-796 - [c16]Ahmed Sanaullah, Chen Yang, Yuri Alexeev, Kazutomo Yoshii, Martin C. Herbordt:
Application Aware Tuning of Reconfigurable Multi-Layer Perceptron Architectures. HPEC 2018: 1-9 - [c15]Yingyi Luo, Xiaoyang Wang, Seda Ogrenci Memik, Gokhan Memik, Kazutomo Yoshii, Peter H. Beckman:
Minimizing Thermal Variation in Heterogeneous HPC Systems with FPGA Nodes. ICCD 2018: 537-544 - 2017
- [c14]Zheming Jin, Hal Finkel, Kazutomo Yoshii, Franck Cappello:
Evaluation of a Floating-Point Intensive Kernel on FPGA - A Case Study of Geodesic Distance Kernel. Euro-Par Workshops 2017: 664-675 - [c13]Yingyi Luo, Xianshan Wen, Kazutomo Yoshii, Seda Ogrenci Memik, Gokhan Memik, Hal Finkel, Franck Cappello:
Evaluating irregular memory access on OpenCL FPGA platforms: A case study with XSBench. FPL 2017: 1-4 - [c12]Swann Perarnau, Judicael A. Zounmevo, Matthieu Dreher, Brian C. Van Essen, Roberto Gioiosa, Kamil Iskra
Argo NodeOS: Toward Unified Resource Management for Exascale. IPDPS 2017: 153-162 - 2016
- [c11]Daniel A. Ellsworth, Tapasya Patki
Systemwide Power Management with Argo. IPDPS Workshops 2016: 1118-1121 - [c10]Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer
Overcoming the power wall by exploiting inexactness and emerging COTS architectural features: Trading precision for improving application quality. SoCC 2016: 241-246 - [i1]Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna V. Palem, Kazutomo Yoshii, Hal Finkel:
Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. CoRR abs/1610.02606 (2016) - 2015
- [c9]Xiaomin Zhu, Junchao Zhang, Kazutomo Yoshii, Shigang Li, Yunquan Zhang, Pavan Balaji:
Analyzing MPI-3.0 Process-Level Shared Memory: A Case Study with Stencil Computations. CCGRID 2015: 1099-1106 - [c8]Judicael A. Zounmevo, Swann Perarnau, Kamil Iskra
A Container-Based Approach to OS Specialization for Exascale Computing. IC2E 2015: 359-364 - [c7]Kaicheng Zhang, Seda Ogrenci Memik, Gokhan Memik, Kazutomo Yoshii, Rajesh Sankaran, Peter H. Beckman:
Minimizing Thermal Variation Across System Components. IPDPS 2015: 1139-1148 - 2014
- [c6]John R. Tramm
Power profiling of a reduced data movement algorithm for neutron cross section data in Monte Carlo simulations. Co-HPC@SC 2014: 17-24 - 2012
- [c5]Kazutomo Yoshii, Kamil Iskra
Evaluating Power-Monitoring Capabilities on IBM Blue Gene/P and Blue Gene/Q. CLUSTER 2012: 36-44 - 2011
- [j3]Kazutomo Yoshii, Kamil Iskra
Performance and Scalability Evaluation of 'Big Memory' on Blue Gene Linux. Int. J. High Perform. Comput. Appl. 25(2): 148-160 (2011) - 2010
- [c4]Venkatram Vishwanath, Mark Hereld
Accelerating I/O Forwarding in IBM Blue Gene/P Systems. SC 2010: 1-10
2000 – 2009
- 2009
- [c3]Kazutomo Yoshii, Kamil Iskra
Characterizing the Performance of . ICPP Workshops 2009: 65-72 - 2008
- [j2]Peter H. Beckman, Kamil Iskra
Benchmarking the effects of operating system interference on extreme-scale parallel machines. Clust. Comput. 11(1): 3-16 (2008) - [c2]Kamil Iskra
ZOID: I/O-forwarding infrastructure for petascale architectures. PPoPP 2008: 153-162 - 2006
- [j1]Peter H. Beckman, Kamil Iskra
Operating system issues for petascale systems. ACM SIGOPS Oper. Syst. Rev. 40(2): 29-33 (2006) - [c1]Peter H. Beckman, Kamil Iskra
The Influence of Operating Systems on the Performance of Collective Operations at Extreme Scale. CLUSTER 2006
Coauthor Index
aka: Peter H. Beckman
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