VLDB 2026 Research / reviewers in the wild / expert
Rafal P. Wojda
dblp:23/9848
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-8660-9268ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
High-performance computing · 30% Embedded and real-time systems · 30% Energy-efficient computing · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Embedded and real-time systems
digital twin |
0.8 | 1 | 2024 | A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale · SC 2024 |
Energy-efficient computing › thermal management
liquid cooling |
0.8 | 1 | 2024 | A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale · SC 2024 |
High-performance computing
supercomputing |
0.8 | 1 | 2024 | A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale · SC 2024 |
Performance modeling and evaluation
simulation |
0.2 | 1 | 2024 | A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale · SC 2024 |
Methods — techniques the papers use, named apart from their topics
thermo-fluidic modeling · 0.8power simulation · 0.8augmented reality · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at ExascaleabstractWe present ExaDigiT, an open-source framework for developing comprehensive digital twins of liquid-cooled supercomputers. It integrates three main modules: (1) a resource allocator and power simulator, (2) a transient thermo-fluidic cooling model, and (3) an augmented reality model of the supercomputer and central energy plant. The framework enables the study of “what-if” scenarios, system optimizations, and virtual prototyping of future systems. Using Frontier as a case study, we demonstrate the framework’s capabilities by replaying six months of system telemetry for systematic verification and validation. Such a comprehensive analysis of a liquid-cooled exascale supercomputer is the first of its kind. ExaDigiT elucidates complex transient cooling system dynamics, runs synthetic or real workloads, and predicts energy losses due to rectification and voltage conversion. Throughout our paper, we present lessons learned to benefit HPC practitioners developing similar digital twins. We envision the digital twin will be a key enabler for sustainable, energy-efficient supercomputing. Wesley Brewer, Matthias Maiterth, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang |
SC | 4 |
| 2011 | Maximum drain efficiency class F3 RF power amplifierabstractThis paper presents a design procedure for the class F3RF power amplifier. The required range of the drain current conduction angle for the class F3power amplifier is specified. Additionally, an equation for the resistance of the third harmonic resonant circuit is given. Class F3, AB, and C power amplifiers were designed and simulated to compare their respective performance in terms of efficiency. Marian K. Kazimierczuk, Rafal P. Wojda |
ISCAS | 2 |