Kazutomo Yoshii

59 papers A 5B 5C 3Misc 2Journal 22Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A case study in hardware specialization for Monte Carlo cross-section lookup. Parallel Comput. Kazutomo Yoshii, John R. Tramm, Bryce Allen, Tomohiro Ueno, Kentaro Sano, Andrew R. Siegel, Pete Beckman
2025	J	`jnl`	A Survey on Error-Bounded Lossy Compression for Scientific Datasets. ACM Comput. Surv. 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, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
2025	—	`conf`	Adapting scientific streaming inference workflows for a deterministic tensor processing unit. SC Workshops Samantha Fowler, Kazutomo Yoshii, Antonino Miceli, Senthil Gnanasekaran, Tao Zhou, Nicholas Contini
2025	—	`conf`	Assessing a RISC-V Accelerator for Cross-Section Lookup in Chipyard. SC Workshops Andrew Ledbetter, Kazutomo Yoshii, John R. Tramm
2025	—	`conf`	Design and Implementation of a Custom Hardware Accelerator for SZx Compression in Chipyard. SC Workshops Connor Bohannon, Kazutomo Yoshii, Sheng Di, Franck Cappello, Antonino Miceli
2025	—	`conf`	Directing PDES and Surrogate Models in Loosely Coupled Hybrid Simulations. SIGSIM-PADS Kevin A. Brown, Elkin Cruz-Camacho, Kazutomo Yoshii, Xin Wang, Zhiling Lan, Christopher D. Carothers, Robert B. Ross
2025	—	`conf`	Evaluation of Trade-Off Between Compression Ratio and Hardware Cost for Adaptive Bandwidth Compression Hardware Platform. COOL CHIPS Tomohiro Ueno, Kaito Kitazume, Masato Kiyama, Kazutomo Yoshii, Kento Sato, Norihisa Fujita, Ryohei Kobayashi, Taisuke Boku, Kentaro Sano
2025	J	`jnl`	Lossy Compression of Scientific Data: Applications Constrains and Requirements. CoRR Franck Cappello, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Paul Christopher O'Grady, Peng Jiang, Shaomeng Li, Erik Lindahl, Peter Lindstrom, Magnus Lundborg, Kai Zhao, Xin Liang, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Dingwen Tao, Jiannan Tian, Robert Underwood, Kazutomo Yoshii, Danylo Lykov, Yuri Alexeev, Kyle Gerard Felker
2025	J	`jnl`	Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. 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
2025	J	`jnl`	Scalable HPC Job Scheduling and Resource Management in SST. CoRR Abubeker Abdurahman, Abrar Hossain, Kevin A. Brown, Kazutomo Yoshii, Kishwar Ahmed
2025	—	`conf`	THAPI: Tracing Heterogeneous APIs. Euro-Par (1) Solomon Bekele, Aurelio Vivas, Thomas Applencourt, Servesh Muralidharan, Bryce Allen, Kazutomo Yoshii, Swann Perarnau, Brice Videau
2025	J	`jnl`	THAPI: Tracing Heterogeneous APIs. CoRR Solomon Bekele, Aurelio Vivas, Thomas Applencourt, Servesh Muralidharan, Bryce Allen, Kazutomo Yoshii, Swann Perarnau, Brice Videau
2025	A	`conf`	What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression. SC Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao
2024	J	`jnl`	A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR 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
2024	—	`conf`	BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. HEART Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster
2024	J	`jnl`	Educating for Hardware Specialization in the Chiplet Era: A Path for the HPC Community. CoRR Kazutomo Yoshii, Mohamed El-Hadedy
2024	J	`jnl`	Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware. Comput. Phys. Commun. John R. Tramm, Bryce Allen, Kazutomo Yoshii, Andrew R. Siegel, Leighton Wilson
2024	J	`jnl`	Homomorphic data compression for real time photon correlation analysis. CoRR 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
2024	Misc	`conf`	Scalable HPC Job Scheduling and Resource Management in SST. WSC Abubeker Abdurahman, Abrar Hossain, Kevin A. Brown, Kazutomo Yoshii, Kishwar Ahmed
2023	—	`conf`	BLTESTI: Benchmarking Lightweight TinyJAMBU on Embedded Systems for Trusted IoT. SOCC Mohamed El-Hadedy, Russell Hua, Shahzman Saqib, Kazutomo Yoshii, Wen-Mei Hwu, Martin Margala
2023	J	`jnl`	Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware. CoRR John R. Tramm, Bryce Allen, Kazutomo Yoshii, Andrew R. Siegel, Leighton Wilson
2023	—	`conf`	Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area. SC Workshops Kazutomo Yoshii, John R. Tramm, Bryce Allen, Tomohiro Ueno, Kentaro Sano, Andrew R. Siegel, Pete Beckman
2023	J	`jnl`	OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. CoRR Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster
2023	J	`jnl`	RECO-ASCON: Reconfigurable ASCON hash functions for IoT applications. Integr. Mohamed El-Hadedy, Xinfei Guo, Kazutomo Yoshii, Yichen Cai, Robert Herndon, Bryan Banta, Wen-Mei Hwu
2023	—	`conf`	RECO-LFSR: Reconfigurable Low-power Cryptographic processor based on LFSR for Trusted IoT platforms. ISQED Mohamed El-Hadedy, Russell Hua, Kazutomo Yoshii, Wen-Mei Hwu, Martin Margala
2023	—	`conf`	Streaming Hardware Compressor Generator Framework. SC Workshops Kazutomo Yoshii, Tomohiro Ueno, Kentaro Sano, Antonino Miceli, Franck Cappello
2021	B	`conf`	A Hardware Co-design Workflow for Scientific Instruments at the Edge. SMC Kazutomo Yoshii, Rajesh Sankaran, Sebastian Strempfer, Maksim Levental, Mike Hammer, Antonino Miceli
2021	—	`conf`	Designing a Streaming Data Coalescing Architecture for Scientific Detector ASICs with Variable Data Velocity. XLOOP@SC Sebastian Strempfer, Kazutomo Yoshii, Mike Hammer, Dawid Bycul, Antonino Miceli
2021	Misc	`conf`	Parallel Application Power and Performance Prediction Modeling Using Simulation. WSC Kishwar Ahmed, Kazutomo Yoshii, Samia Tasnim
2021	J	`jnl`	Thermal Management for FPGA Nodes in HPC Systems. ACM Trans. Design Autom. Electr. Syst. Yingyi Luo, Joshua C. Zhao, Arnav Aggarwal, Seda Ogrenci-Memik, Kazutomo Yoshii
2021	J	`jnl`	What Does the Post-Moore Era Mean for Research Software Engineering? CoRR Kazutomo Yoshii
2020	—	`conf`	Simulation of Auction Mechanism Model for Energy-Efficient High Performance Computing. SIGSIM-PADS Kishwar Ahmed, Samia Tasnim, Kazutomo Yoshii
2019	—	`ch.`	Argo. Operating Systems for Supercomputers and High Performance Computing Swann Perarnau, Brian C. Van Essen, Roberto Gioiosa, Kamil Iskra, Maya B. Gokhale, Kazutomo Yoshii, Peter H. Beckman
2019	J	`jnl`	Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system. CoRR Kazutomo Yoshii, John R. Tramm, Andrew R. Siegel, Peter H. Beckman
2019	—	`ch.`	ZeptoOS. Operating Systems for Supercomputers and High Performance Computing Kamil Iskra, Kazutomo Yoshii, Peter H. Beckman
2018	—	`conf`	Application Aware Tuning of Reconfigurable Multi-Layer Perceptron Architectures. HPEC Ahmed Sanaullah, Chen Yang, Yuri Alexeev, Kazutomo Yoshii, Martin C. Herbordt
2018	—	`conf`	Enabling Demand Response for HPC Systems through Power Capping and Node Scaling. HPCC/SmartCity/DSS Kishwar Ahmed, Jason Liu, Kazutomo Yoshii
2018	J	`jnl`	Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components. IEEE Trans. Parallel Distributed Syst. Kaicheng Zhang, Akhil Guliani, Seda Ogrenci Memik, Gokhan Memik, Kazutomo Yoshii, Rajesh Sankaran, Peter H. Beckman
2018	C	`conf`	Minimizing Thermal Variation in Heterogeneous HPC Systems with FPGA Nodes. ICCD Yingyi Luo, Xiaoyang Wang, Seda Ogrenci Memik, Gokhan Memik, Kazutomo Yoshii, Peter H. Beckman
2018	A	`conf`	Optimizations of Sequence Alignment on FPGA: A Case Study of Extended Sequence Alignment (Abstact Only). FPGA Zheming Jin, Kazutomo Yoshii
2018	J	`jnl`	Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks. BMC Bioinform. Ahmed Sanaullah, Chen Yang, Yuri Alexeev, Kazutomo Yoshii, Martin C. Herbordt
2017	A	`conf`	Argo NodeOS: Toward Unified Resource Management for Exascale. IPDPS Swann Perarnau, Judicael A. Zounmevo, Matthieu Dreher, Brian C. Van Essen, Roberto Gioiosa, Kamil Iskra, Maya B. Gokhale, Kazutomo Yoshii, Peter H. Beckman
2017	B	`conf`	Evaluating irregular memory access on OpenCL FPGA platforms: A case study with XSBench. FPL Yingyi Luo, Xianshan Wen, Kazutomo Yoshii, Seda Ogrenci Memik, Gokhan Memik, Hal Finkel, Franck Cappello
2017	—	`conf`	Evaluation of a Floating-Point Intensive Kernel on FPGA - A Case Study of Geodesic Distance Kernel. Euro-Par Workshops Zheming Jin, Hal Finkel, Kazutomo Yoshii, Franck Cappello
2016	J	`jnl`	Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. CoRR Sven Leyffer, Stefan M. Wild, Mike Fagan, Marc Snir, Krishna V. Palem, Kazutomo Yoshii, Hal Finkel
2016	—	`conf`	Overcoming the power wall by exploiting inexactness and emerging COTS architectural features: Trading precision for improving application quality. SoCC Mike Fagan, Jeremy Schlachter, Kazutomo Yoshii, Sven Leyffer, Krishna V. Palem, Marc Snir, Stefan M. Wild, Christian C. Enz
2016	—	`conf`	Systemwide Power Management with Argo. IPDPS Workshops Daniel A. Ellsworth, Tapasya Patki, Swann Perarnau, Sangmin Seo, Abdelhalim Amer, Judicael A. Zounmevo, Rinku Gupta, Kazutomo Yoshii, Henry Hoffmann, Allen D. Malony, Martin Schulz, Peter H. Beckman
2015	B	`conf`	A Container-Based Approach to OS Specialization for Exascale Computing. IC2E Judicael A. Zounmevo, Swann Perarnau, Kamil Iskra, Kazutomo Yoshii, Roberto Gioiosa, Brian Van Essen, Maya B. Gokhale, Edgar A. León
2015	B	`conf`	Analyzing MPI-3.0 Process-Level Shared Memory: A Case Study with Stencil Computations. CCGRID Xiaomin Zhu, Junchao Zhang, Kazutomo Yoshii, Shigang Li, Yunquan Zhang, Pavan Balaji
2015	A	`conf`	Minimizing Thermal Variation Across System Components. IPDPS Kaicheng Zhang, Seda Ogrenci Memik, Gokhan Memik, Kazutomo Yoshii, Rajesh Sankaran, Peter H. Beckman
2014	—	`conf`	Power profiling of a reduced data movement algorithm for neutron cross section data in Monte Carlo simulations. Co-HPC@SC John R. Tramm, Kazutomo Yoshii, Andrew R. Siegel
2012	C	`conf`	Evaluating Power-Monitoring Capabilities on IBM Blue Gene/P and Blue Gene/Q. CLUSTER Kazutomo Yoshii, Kamil Iskra, Rinku Gupta, Peter H. Beckman, Venkatram Vishwanath, Chenjie Yu, Susan Coghlan
2011	J	`jnl`	Performance and Scalability Evaluation of 'Big Memory' on Blue Gene Linux. Int. J. High Perform. Comput. Appl. Kazutomo Yoshii, Kamil Iskra, Harish Naik, Peter H. Beckman, P. Chris Broekema
2010	A	`conf`	Accelerating I/O Forwarding in IBM Blue Gene/P Systems. SC Venkatram Vishwanath, Mark Hereld, Kamil Iskra, Dries Kimpe, Vitali A. Morozov, Michael E. Papka, Robert B. Ross, Kazutomo Yoshii
2009	—	`conf`	Characterizing the Performance of . ICPP Workshops Kazutomo Yoshii, Kamil Iskra, Harish Naik, Peter H. Beckman, P. Chris Broekema
2008	J	`jnl`	Benchmarking the effects of operating system interference on extreme-scale parallel machines. Clust. Comput. Peter H. Beckman, Kamil Iskra, Kazutomo Yoshii, Susan Coghlan, Aroon Nataraj
2008	B	`conf`	ZOID: I/O-forwarding infrastructure for petascale architectures. PPoPP Kamil Iskra, John W. Romein, Kazutomo Yoshii, Peter H. Beckman
2006	J	`jnl`	Operating system issues for petascale systems. ACM SIGOPS Oper. Syst. Rev. Peter H. Beckman, Kamil Iskra, Kazutomo Yoshii, Susan Coghlan
2006	C	`conf`	The Influence of Operating Systems on the Performance of Collective Operations at Extreme Scale. CLUSTER Peter H. Beckman, Kamil Iskra, Kazutomo Yoshii, Susan Coghlan