User-Level Physical Memory Management for Mach. - Stuart Sechrest; Yoonho Park (USENIX MACH Symposium, 1991)

Virtual Memory versus File Interface for Large, Memory-Intensive Scientific Applications. - Yoonho Park; Ridway Scott; Stuart Sechrest (SC, 1996)

Custom virtual memory policies for an image reconstruction application. - Olin G. Johnson; Vasudha Govindan; Yoonho Park; Z. Hong Zhou (HiPC, 1997)

Physical memory management for scientific applications. - Yoonho Park (1997)

Security architecture for component-based operating systems. - Trent Jaeger; Jochen Liedtke; Vsevolod Panteleenko; Yoonho Park; Nayeem Islam (ACM SIGOPS European Workshop, 1998)

An unconventional proposal: using the x86 architecture as the ubiquitous virtual standard architecture. - Jochen Liedtke; Nayeem Islam; Trent Jaeger; Vsevolod Panteleenko; Yoonho Park (ACM SIGOPS European Workshop, 1998)

Irreproducible benchmarks might be sometimes helpful. - Jochen Liedtke; Nayeem Islam; Trent Jaeger; Vsevolod Panteleenko; Yoonho Park (ACM SIGOPS European Workshop, 1998)

Flexible Access Control using IPC Redirection. - Trent Jaeger; Kevin Elphinstone; Jochen Liedtke; Vsevolod Panteleenko; Yoonho Park (Workshop on Hot Topics in Operating Systems, 1999)

How To Schedule Unlimited Memory Pinning of Untrusted Processes Or Provisional Ideas about Service-Neutrality. - Jochen Liedtke; Volkmar Uhlig; Kevin Elphinstone; Trent Jaeger; Yoonho Park (Workshop on Hot Topics in Operating Systems, 1999)

The SawMill multiserver approach. - Alain Gefflaut; Trent Jaeger; Yoonho Park; Jochen Liedtke; Kevin Elphinstone; Volkmar Uhlig; Jonathon Tidswell; Luke Deller; Lars Reuther (ACM SIGOPS European Workshop, 2000)

Synchronous IPC over transparent monitors. - Trent Jaeger; Jonathon Tidswell; Alain Gefflaut; Yoonho Park; Kevin Elphinstone; Jochen Liedtke (ACM SIGOPS European Workshop, 2000)

Stub-Code Performance Is Becoming Important. - Andreas Haeberlen; Jochen Liedtke; Yoonho Park; Lars Reuther; Volkmar Uhlig (WIESS, 2000)

The SawMill Framework for Virtual Memory Diversity. - Mohit Aron; Jochen Liedtke; Kevin Elphinstone; Yoonho Park; Trent Jaeger; Luke Deller (ACSAC, 2001)

Path Tracking Control Using a Wavelet Based Fuzzy Neural Network for Mobile Robots. - Joon Seop Oh; Yoonho Park (Int. J. Fuzzy Log. Intell. Syst., 2004)

Design, implementation, and evaluation of the linear road bnchmark on the stream processing core. - Navendu Jain; Lisa Amini; Henrique Andrade; Richard King; Yoonho Park; Philippe Selo; Chitra Venkatramani (SIGMOD Conference, 2006)

Towards Optimal Resource Allocation in Partial-Fault Tolerant Applications. - Nikhil Bansal 001; Ranjita Bhagwan; Navendu Jain; Yoonho Park; Deepak S. Turaga; Chitra Venkatramani (INFOCOM, 2008)

Implementing a high-volume, low-latency market data processing system on commodity hardware using IBM middleware. - Xiaolan Joy Zhang; Henrique Andrade; Bugra Gedik; Richard King; John F. Morar; Senthil Nathan; Yoonho Park; Raju Pavuluri; Edward Pring; Randall Schnier; Philippe Selo; Michael Spicer; et al. (SC-WHPCF, 2009)

FusedOS: Fusing LWK Performance with FWK Functionality in a Heterogeneous Environment. - Yoonho Park; Eric Van Hensbergen; Marius Hillenbrand; Todd Inglett; Bryan S. Rosenburg; Kyung Dong Ryu; Robert W. Wisniewski (SBAC-PAD, 2012)

Poster: FusedOS: A Hybrid Approach to Exascale Operating Systems. - Yoonho Park; Eric Van Hensbergen; Marius Hillenbrand; Todd Inglett; Bryan S. Rosenburg; Kyung Dong Ryu; Robert W. Wisniewski (SC Companion, 2012)

Evaluation of a high-volume, low-latency market data processing system implemented with IBM middleware. - Yoonho Park; Richard King; Senthil Nathan; Wesley Most; Henrique Andrade (Softw. Pract. Exp., 2012)

A System Software Approach to Proactive Memory-Error Avoidance. - Carlos H. A. Costa; Yoonho Park; Bryan S. Rosenburg; Chen-Yong Cher; Kyung Dong Ryu (SC, 2014)

Data access optimization in a processing-in-memory system. - Zehra Sura; Arpith C. Jacob; Tong Chen 001; Bryan S. Rosenburg; Olivier Sallenave; Carlo Bertolli; Samuel Antao; José R. Brunheroto; Yoonho Park; Kevin O'Brien; Ravi Nair (Conf. Computing Frontiers, 2015)

What is a Lightweight Kernel? - Rolf Riesen; Arthur Barney Maccabe; Balazs Gerofi; David N. Lombard; John Jack Lange; Kevin T. Pedretti; Kurt B. Ferreira; Mike Lang 003; Pardo Keppel; Robert W. Wisniewski; Ron Brightwell; Todd Inglett; et al. (ROSS@HPDC, 2015)

Active Memory Cube: A processing-in-memory architecture for exascale systems. - Ravi Nair; Samuel Antão; Carlo Bertolli; Pradip Bose; José R. Brunheroto; Tong Chen 001; Chen-Yong Cher; Carlos H. A. Costa; J. Doi; Constantinos Evangelinos; Bruce M. Fleischer; Thomas W. Fox; et al. (IBM J. Res. Dev., 2015)

Towards Memory-Optimized Data Shuffling Patterns for Big Data Analytics. - Bogdan Nicolae; Carlos H. A. Costa; Claudia Misale; Kostas Katrinis; Yoonho Park (CCGrid, 2016)

A Multi-Kernel Survey for High-Performance Computing. - Balazs Gerofi; Yutaka Ishikawa; Rolf Riesen; Robert W. Wisniewski; Yoonho Park; Bryan S. Rosenburg (ROSS@HPDC, 2016)

Speeding Up Stencil Computations with Kernel Convolution. - Guilherme C. Januario; Bryan S. Rosenburg; Yoonho Park; Michael Perrone; José E. Moreira; Tereza Cristina M. B. Carvalho (SBAC-PAD, 2016)

Neural Network-Based Task Scheduling with Preemptive Fan Control. - Bilge Acun; Eun Kyung Lee; Yoonho Park; Laxmikant V. Kalé (E2SC@SC, 2016)

Support for Power Efficient Proactive Cooling Mechanisms. - Bilge Acun; Eun Kyung Lee; Yoonho Park; Laxmikant V. Kalé (HiPC, 2017)

Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics. - Bogdan Nicolae; Carlos H. A. Costa; Claudia Misale; Kostas Katrinis; Yoonho Park (IEEE Trans. Parallel Distributed Syst., 2017)

Predicting the Performance Impact of Increasing Memory Bandwidth for Scientific Workflows. - Nelson Mimura Gonzalez; José R. Brunheroto; Fausto Artico; Yoonho Park; Tereza Cristina M. B. Carvalho; Charles Christian Miers; Maurício Aronne Pillon; Guilherme Piêgas Koslovski (SBAC-PAD, 2018)

FusedOS. - Yoonho Park; Bryan S. Rosenburg; Robert W. Wisniewski (Operating Systems for Supercomputers and High Performance Computing, 2019)

Power Aware Heterogeneous Node Assembly. - Bilge Acun; Alper Buyuktosunoglu; Eun Kyung Lee; Yoonho Park (HPCA, 2019)

Preparation and optimization of a diverse workload for a large-scale heterogeneous system. - Ian Karlin; Yoonho Park; Bronis R. de Supinski; Peng Wang; Bert Still; David Beckingsale; Robert Blake; Tong Chen 001; Guojing Cong; Carlos H. A. Costa; Johann Dahm; Giacomo Domeniconi; et al. (SC, 2019)

Late Breaking Results: Reinforcement Learning-based Power Management Policy for Mobile Device Systems. - Eunji Kwon; Sodam Han; Yoonho Park; Young Hwan Kim; Seokhyeong Kang (DAC, 2020)

Analysis and Solution of CNN Accuracy Reduction over Channel Loop Tiling. - Yesung Kang; Yoonho Park; Sunghoon Kim; Eunji Kwon; Taeho Lim; Sangyun Oh; Mingyu Woo; Seokhyeong Kang (DATE, 2020)

GRLC: grid-based run-length compression for energy-efficient CNN accelerator. - Yoonho Park; Yesung Kang; Sunghoon Kim; Eunji Kwon; Seokhyeong Kang (ISLPED, 2020)

Cluster system management. - Nathan Besaw; Lars Scheidenbach; John Dunham; Sandy Kaur; Alda Ohmacht; Fernando Pizzano; Yoonho Park (IBM J. Res. Dev., 2020)

It's a Scheduling Affair: GROMACS in the Cloud with the KubeFlux Scheduler. - Claudia Misale; Maurizio Drocco; Daniel J. Milroy; Carlos Eduardo Arango Gutierrez; Stephen Herbein; Dong H. Ahn; Yoonho Park (CANOPIE-HPC@SC, 2021)

Towards Standard Kubernetes Scheduling Interfaces for Converged Computing. - Claudia Misale; Daniel J. Milroy; Carlos Eduardo Arango Gutierrez; Maurizio Drocco; Stephen Herbein; Dong H. Ahn; Zvonko Kaiser; Yoonho Park (SMC, 2021)

Reinforcement Learning-Based Power Management Policy for Mobile Device Systems. - Eunji Kwon; Sodam Han; Yoonho Park; Jongho Yoon 001; Seokhyeong Kang (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC. - Daniel J. Milroy; Claudia Misale; Giorgis Georgakoudis; Tonia Elengikal; Abhik Sarkar; Maurizio Drocco; Tapasya Patki; Jae-Seung Yeom; Carlos Eduardo Arango Gutierrez; Dong H. Ahn; Yoonho Park (CANOPIE-HPC@SC, 2022)

Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case. - Paula Olaya; Jakob Lüttgau; Camila Roa; Ricardo M. Llamas; Rodrigo Vargas; Sophia Wen; I-Hsin Chung; Seetharami R. Seelam; Yoonho Park; Jay F. Lofstead; Michela Taufer (CLOUD, 2023)

The infrastructure powering IBM's Gen AI model development. - Talia Gershon; Seetharami Seelam; Brian Belgodere; Milton Bonilla; Lan Hoang; Danny Barnett; I-Hsin Chung; Apoorve Mohan; Ming-Hung Chen; Lixiang Luo; Robert Walkup; Constantinos Evangelinos; et al. (CoRR, 2024)