The Influence of Operating Systems on the Performance of Collective Operations at Extreme Scale. - Peter H. Beckman; Kamil Iskra; Kazutomo Yoshii; Susan Coghlan (CLUSTER, 2006)

Operating system issues for petascale systems. - Peter H. Beckman; Kamil Iskra; Kazutomo Yoshii; Susan Coghlan (ACM SIGOPS Oper. Syst. Rev., 2006)

ZOID: I/O-forwarding infrastructure for petascale architectures. - Kamil Iskra; John W. Romein; Kazutomo Yoshii; Peter H. Beckman (PPoPP, 2008)

Benchmarking the effects of operating system interference on extreme-scale parallel machines. - Peter H. Beckman; Kamil Iskra; Kazutomo Yoshii; Susan Coghlan; Aroon Nataraj (Clust. Comput., 2008)

Characterizing the Performance of . - Kazutomo Yoshii; Kamil Iskra; Harish Naik; Peter H. Beckman; P. Chris Broekema (ICPP Workshops, 2009)

Accelerating I/O Forwarding in IBM Blue Gene/P Systems. - Venkatram Vishwanath; Mark Hereld; Kamil Iskra; Dries Kimpe; Vitali A. Morozov; Michael E. Papka; Robert B. Ross; Kazutomo Yoshii (SC, 2010)

Performance and Scalability Evaluation of 'Big Memory' on Blue Gene Linux. - Kazutomo Yoshii; Kamil Iskra; Harish Naik; Peter H. Beckman; P. Chris Broekema (Int. J. High Perform. Comput. Appl., 2011)

Evaluating Power-Monitoring Capabilities on IBM Blue Gene/P and Blue Gene/Q. - Kazutomo Yoshii; Kamil Iskra; Rinku Gupta; Peter H. Beckman; Venkatram Vishwanath; Chenjie Yu; Susan Coghlan (CLUSTER, 2012)

Power profiling of a reduced data movement algorithm for neutron cross section data in Monte Carlo simulations. - John R. Tramm; Kazutomo Yoshii; Andrew R. Siegel (Co-HPC@SC, 2014)

Analyzing MPI-3.0 Process-Level Shared Memory: A Case Study with Stencil Computations. - Xiaomin Zhu; Junchao Zhang 002; Kazutomo Yoshii; Shigang Li 002; Yunquan Zhang; Pavan Balaji (CCGRID, 2015)

A Container-Based Approach to OS Specialization for Exascale Computing. - Judicael A. Zounmevo; Swann Perarnau; Kamil Iskra; Kazutomo Yoshii; Roberto Gioiosa; Brian Van Essen; Maya B. Gokhale; Edgar A. León (IC2E, 2015)

Minimizing Thermal Variation Across System Components. - Kaicheng Zhang; Seda Ogrenci Memik; Gokhan Memik; Kazutomo Yoshii; Rajesh Sankaran; Peter H. Beckman (IPDPS, 2015)

Systemwide Power Management with Argo. - 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 001; Peter H. Beckman (IPDPS Workshops, 2016)

Overcoming the power wall by exploiting inexactness and emerging COTS architectural features: Trading precision for improving application quality. - Mike Fagan; Jeremy Schlachter; Kazutomo Yoshii; Sven Leyffer; Krishna V. Palem; Marc Snir; Stefan M. Wild; Christian C. Enz (SoCC, 2016)

Doing Moore with Less - Leapfrogging Moore's Law with Inexactness for Supercomputing. - Sven Leyffer; Stefan M. Wild; Mike Fagan; Marc Snir; Krishna V. Palem; Kazutomo Yoshii; Hal Finkel (CoRR, 2016)

Evaluation of a Floating-Point Intensive Kernel on FPGA - A Case Study of Geodesic Distance Kernel. - Zheming Jin; Hal Finkel; Kazutomo Yoshii; Franck Cappello (Euro-Par Workshops, 2017)

Evaluating irregular memory access on OpenCL FPGA platforms: A case study with XSBench. - Yingyi Luo; Xianshan Wen; Kazutomo Yoshii; Seda Ogrenci Memik; Gokhan Memik; Hal Finkel; Franck Cappello (FPL, 2017)

Argo NodeOS: Toward Unified Resource Management for Exascale. - Swann Perarnau; Judicael A. Zounmevo; Matthieu Dreher; Brian C. Van Essen; Roberto Gioiosa; Kamil Iskra; Maya B. Gokhale; Kazutomo Yoshii; Peter H. Beckman (IPDPS, 2017)

Optimizations of Sequence Alignment on FPGA: A Case Study of Extended Sequence Alignment (Abstact Only). - Zheming Jin; Kazutomo Yoshii (FPGA, 2018)

Enabling Demand Response for HPC Systems through Power Capping and Node Scaling. - Kishwar Ahmed; Jason Liu 001; Kazutomo Yoshii (HPCC/SmartCity/DSS, 2018)

Application Aware Tuning of Reconfigurable Multi-Layer Perceptron Architectures. - Ahmed Sanaullah; Chen Yang 010; Yuri Alexeev; Kazutomo Yoshii; Martin C. Herbordt (HPEC, 2018)

Minimizing Thermal Variation in Heterogeneous HPC Systems with FPGA Nodes. - Yingyi Luo; Xiaoyang Wang; Seda Ogrenci Memik; Gokhan Memik; Kazutomo Yoshii; Peter H. Beckman (ICCD, 2018)

Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks. - Ahmed Sanaullah; Chen Yang 010; Yuri Alexeev; Kazutomo Yoshii; Martin C. Herbordt (BMC Bioinform., 2018)

Machine Learning-Based Temperature Prediction for Runtime Thermal Management Across System Components. - Kaicheng Zhang; Akhil Guliani; Seda Ogrenci Memik; Gokhan Memik; Kazutomo Yoshii; Rajesh Sankaran; Peter H. Beckman (IEEE Trans. Parallel Distributed Syst., 2018)

ZeptoOS. - Kamil Iskra; Kazutomo Yoshii; Peter H. Beckman (Operating Systems for Supercomputers and High Performance Computing, 2019)

Argo. - Swann Perarnau; Brian C. Van Essen; Roberto Gioiosa; Kamil Iskra; Maya B. Gokhale; Kazutomo Yoshii; Peter H. Beckman (Operating Systems for Supercomputers and High Performance Computing, 2019)

Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system. - Kazutomo Yoshii; John R. Tramm; Andrew R. Siegel; Peter H. Beckman (CoRR, 2019)

Simulation of Auction Mechanism Model for Energy-Efficient High Performance Computing. - Kishwar Ahmed; Samia Tasnim; Kazutomo Yoshii (SIGSIM-PADS, 2020)

A Hardware Co-design Workflow for Scientific Instruments at the Edge. - Kazutomo Yoshii; Rajesh Sankaran; Sebastian Strempfer; Maksim Levental; Mike Hammer; Antonino Miceli (SMC, 2021)

Parallel Application Power and Performance Prediction Modeling Using Simulation. - Kishwar Ahmed; Kazutomo Yoshii; Samia Tasnim (WSC, 2021)

Designing a Streaming Data Coalescing Architecture for Scientific Detector ASICs with Variable Data Velocity. - Sebastian Strempfer; Kazutomo Yoshii; Mike Hammer; Dawid Bycul; Antonino Miceli (XLOOP@SC, 2021)

What Does the Post-Moore Era Mean for Research Software Engineering? - Kazutomo Yoshii (CoRR, 2021)

Thermal Management for FPGA Nodes in HPC Systems. - Yingyi Luo; Joshua C. Zhao; Arnav Aggarwal; Seda Ogrenci-Memik; Kazutomo Yoshii (ACM Trans. Design Autom. Electr. Syst., 2021)

RECO-LFSR: Reconfigurable Low-power Cryptographic processor based on LFSR for Trusted IoT platforms. - Mohamed El-Hadedy 001; Russell Hua; Kazutomo Yoshii; Wen-Mei Hwu; Martin Margala (ISQED, 2023)

Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area. - Kazutomo Yoshii; John R. Tramm; Bryce Allen; Tomohiro Ueno; Kentaro Sano; Andrew R. Siegel; Pete Beckman (SC Workshops, 2023)

Streaming Hardware Compressor Generator Framework. - Kazutomo Yoshii; Tomohiro Ueno; Kentaro Sano; Antonino Miceli; Franck Cappello (SC Workshops, 2023)

BLTESTI: Benchmarking Lightweight TinyJAMBU on Embedded Systems for Trusted IoT. - Mohamed El-Hadedy 001; Russell Hua; Shahzman Saqib; Kazutomo Yoshii; Wen-Mei Hwu; Martin Margala (SOCC, 2023)

OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. - Maksim Levental; Arham Khan; Ryan Chard; Kazutomo Yoshii; Kyle Chard; Ian T. Foster (CoRR, 2023)

RECO-ASCON: Reconfigurable ASCON hash functions for IoT applications. - Mohamed El-Hadedy 001; Xinfei Guo; Kazutomo Yoshii; Yichen Cai 004; Robert Herndon; Bryan Banta; Wen-Mei Hwu (Integr., 2023)

BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. - Maksim Levental; Arham Khan; Ryan Chard; Kazutomo Yoshii; Kyle Chard; Ian T. Foster (HEART, 2024)

Scalable HPC Job Scheduling and Resource Management in SST. - Abubeker Abdurahman; Abrar Hossain; Kevin A. Brown; Kazutomo Yoshii; Kishwar Ahmed (WSC, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

Homomorphic data compression for real time photon correlation analysis. - 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 (CoRR, 2024)

Educating for Hardware Specialization in the Chiplet Era: A Path for the HPC Community. - Kazutomo Yoshii; Mohamed El-Hadedy 001 (CoRR, 2024)

Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware. - John R. Tramm; Bryce Allen; Kazutomo Yoshii; Andrew R. Siegel; Leighton Wilson (Comput. Phys. Commun., 2024)

Evaluation of Trade-Off Between Compression Ratio and Hardware Cost for Adaptive Bandwidth Compression Hardware Platform. - Tomohiro Ueno; Kaito Kitazume; Masato Kiyama; Kazutomo Yoshii; Kento Sato; Norihisa Fujita; Ryohei Kobayashi 001; Taisuke Boku; Kentaro Sano (COOL CHIPS, 2025)

THAPI: Tracing Heterogeneous APIs. - Solomon Bekele; Aurelio Vivas; Thomas Applencourt; Servesh Muralidharan; Bryce Allen; Kazutomo Yoshii; Swann Perarnau; Brice Videau (Euro-Par (1), 2025)

Directing PDES and Surrogate Models in Loosely Coupled Hybrid Simulations. - Kevin A. Brown; Elkin Cruz-Camacho; Kazutomo Yoshii; Xin Wang 115; Zhiling Lan; Christopher D. Carothers; Robert B. Ross (SIGSIM-PADS, 2025)

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. - Franck Cappello; Mario C. Acosta; Emmanuel Agullo; Hartwig Anzt; Jon Calhoun 001; Sheng Di; Luc Giraud; Thomas Grützmacher; Sian Jin; Kentaro Sano; Kento Sato; Amarjit Singh; et al. (Future Gener. Comput. Syst., 2025)

Lossy Compression of Scientific Data: Applications Constrains and Requirements. - Franck Cappello; Allison H. Baker; Ebru Bozda; Martin Burtscher; Kyle Chard; Sheng Di; Paul Christopher O. Grady; Peng Jiang 004; Shaomeng Li; Erik Lindahl; Peter Lindstrom 001; Magnus Lundborg; et al. (CoRR, 2025)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)