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2026
- A systematic evaluation of the potential of carbon-aware execution for scientific workflows
- AI makes you smarter but none the wiser: The disconnect between performance and metacognition
- Accuracy versus Efficiency in Model Selection for Remote Sensing Scientific Workflows
- Augur: Pre-Execution Energy Prediction for Workflow Tasks in Heterogeneous Clusters
- Domain-Specific Data Compression for Nextflow with COMET-FLOW
- Flexible I/O for Database Management Systems with xNVMe
- FlowPilot: A Suggestion System for Designing Scientific Workflows
- Green or Greedy? An Ecological Analysis of Data Center GPU Replacements
- Learning Process Energy Profiles from Node-Level Power Data
- Making Complex Workflows Tangible: Investigating Immersive Analytics Approaches for Data Analysis Workflows
- Nf-PEAK: Process-Based Energy Attribution for Nextflow Workflows on Kubernetes Clusters
- Post-disturbance ice-wedge degradation in Alaskan tundra fire scars using space-for-time substitution remote sensing
- SmartRabbit: An Interactive Query Processor
- TPCx-AI under the Microscope: A Benchmarking Debt Analysis
- Thermalization in a nonlinear variant of the discrete nonlinear Schrödinger Equation
- Training speedups via batching for geometric learning: an analysis of static and dynamic algorithms
2025
- "Create a Fear of Missing Out" - ChatGPT Implements Unsolicited Deceptive Designs in Generated Websites Without Warning
- A Case for Ecological Efficiency in Database Server Lifecycles
- A Demonstration of Skyrise: A Serverless Query Processor
- A Quantum-Leap into Schema Matching: Beyond 1-to-1 Matchings
- A Survey of Stream Processing System Benchmark
- A terminology for scientific workflow systems
- Ad-Blocked Reality: Evaluating User Perceptions of Content Blocking Concepts Using Extended Reality
- Alsatian: Optimizing Model Search for Deep Transfer Learning
- An Empirical Evaluation of Serverless Cloud Infrastructure for Large-Scale Data Processing
- An Interactive Analysis of Serverless Cloud Infrastructure
- Band-Gap Regression with Architecture-Optimized Message-Passing Neural Networks
- BottleMod: Modeling Data Flows and Tasks for Fast Bottleneck Analysis
- CXL Memory Performance for In-Memory Data Processing
- CXL-Bench: Benchmarking Shared CXL Memory Access
- CoCoMaMa: Contextual Combinatorial Multi-Armed Bandit Router for Multi-Agent Systems with Volatile Arms
- Compared Experiences from Teaching Full-Semester Research Software Engineering Courses at Four German Universities
- Compression in Main Memory Database Systems: Cost and Performance Trade-Offs of Workload-Driven Data Encoding
- DISCES: Systematic Discovery of Event Stream Queries
- Dema: Efficient Decentralized Aggregation for Non-Decomposable Quantile Functions
- Effects of inertia on the asynchronous state of a disordered Kuramoto model
- Eficiently Joining Large Relations on Multi-GPU Systems
- Embracing Change: Incremental Updates of Discovered Event Queries
- Escaping the Filter Bubble: Evaluating Electroencephalographic Theta Band Synchronization as Indicator for Selective Exposure in Online News Reading
- Evaluating Visuohaptic Integration on Memory Retention of Morphological Tomographic Images
- Exploring the Potential of Carbon-Aware Execution for Scientific Workflows
- Extrapolation to the complete basis-set limit in density-functional theory using statistical learning
- Fast Min-ε Segmented Regression using Constant-Time Segment Merging
- Fetch Me If You Can: Evaluating CPU Cache Prefetching and Its Reliability on High Latency Memory
- Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
- From Pegs to Pixels: A Comparative Analysis of the Nine Hole Peg Test and a Digital Copy Drawing Test for Fine Motor Control Assessment
- GenIE - Simulator-Driven Iterative Data Exploration for Scientific Discovery
- How big is big data?
- HyProv: Hybrid Provenance Management for Scientific Workflows
- Impact of data density and endmember definitions on long-term trends in ground cover fractions across European grasslands
- Inverse Surrogate Model of a Soft X-Ray Spectrometer using Domain Adaptation
- Memory-aware Adaptive Scheduling of Scientific Workflows On Heterogeneous Architectures
- Optimizing Microgrid Composition for Sustainable Data Centers
- PQ Bench: Benchmarking Pruning and Quantization Techniques
- Power Spectrum Analysis of Asynchronous states in Kuramoto Oscillators with Inertia
- Prompt-Hacking: The New p-Hacking?
- Public Perceptions on Psychological and Social Impacts of Virtual and Augmented Reality
- RAYX—An optics simulation software for synchrotron applications
- Reaching New Limits: Discovery of Multi-Dimensional Disjunctive Subsequence-Queries with Intervals
- Route2Vec: Enabling Eficient Use of Driving Context through Contextualized Route Representations
- Shaping the future: principles for policy recommendations for responsible innovation in virtual worlds
- Skyrise: Exploiting Serverless Cloud Infrastructure for Elastic Data Processing
- Supporting Code for: Effects of inertia on the asynchronous state of a disordered Kuramoto model
- TCO2: Analyzing the Carbon Footprint of Database Server Replacements
- The Good, the Bad, and the Uncanny: Investigating Diversity Aspects of LLM-Generated Personas for Requirements Engineering
- The Illusion of Privacy: Investigating User Misperceptions in Browser Tracking Protection
- The Impact of Asymmetric AI Assistance on Decision-Making in Social Dilemmas: A Study on Human Augmentation in Economic Games
- The Impostor is Among Us: Can Large Language Models Capture the Complexity of Human Personas?
- Timeline-based process discovery
- Towards Memory Disaggregation via NVLink C2C: Benchmarking CPU-Requested GPU Memory Access
- Understanding the Effect of Risk Perception on the Acceptance and Use of Large Language Models Among University Students
- Understanding the Influence of Electrical Muscle Stimulation on Motor Learning: Enhancing Motor Learning or Disrupting Natural Progression?
- WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows
- Whose Mind Is It Anyway? A Systematic Review and Exploration on Agency in Cognitive Augmentation
- Wrist-Powered Touch: Evaluating Smartwatch-Based Touch Gesture Recognition for Interaction in Extended Reality
2024
- A Qualitative Assessment of Using ChatGPT as Large Language Model for Scientific Workflow Development
- A Three-Tier Buffer Manager Integrating CXL Device Memory for Database Systems
- A simple refined DNA minimizer operator enables 2-fold faster computation
- Addressing Data Management Challenges for Interoperable Data Science
- Benchmarking the Influence of Pre-training on Explanation Performance in MR Image Classification
- Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications
- Decoil: Reconstructing extrachromosomal DNA structural heterogeneity from long-read sequencing data
- Efficient Stream Processing in Decentralized Networks
- Ghostwriter: a Distributed Message Broker on RDMA and NVM
- How Do Users Design Scientific Workflows? The Case of Snakemake and Nextflow
- I/O of Scientific Workflows Monitored in Detail
- InferDB: In-Database Machine Learning Inference Using Indexes
- KS+: Predicting Workflow Task Memory Usage Over Time
- Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures
- Low-level I/O Monitoring for Scientific Workflows
- Mind the Visual Discomfort: Assessing Event-Related Potentials as Indicators for Visual Strain in Head-Mounted Displays
- Optimizing Job/Task Granularity for Metagenomic Workflows in Heterogeneous Cluster Infrastructures
- Performance reserves in brain-imaging-based phenotype prediction
- Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows
- Risk or Chance? Large Language Models and Reproducibility in HCI Research
- Sizey: Memory-Efficient Execution of Scientific Workflow Tasks
- Surprise Benchmarking: The Why, What, and How
- TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain DARLI-AP
- Towards A GPU-Accelerated Stream Processing Engine Through Query Compilation
- Validity constraints for data analysis workflows
2023
- A mathematical programming approach for resource allocation of data analysis workflows on heterogeneous clusters
- ACTIS: Improving data efficiency by leveraging semi-supervised Augmentation Consistency Training for Instance Segmentation
- Adapting scientific workflows to changing infrastructures
- Analyzing Vectorized Hash Tables Across CPU Architectures
- Automatic Registration of Anatomical Structures of Stereo-Endoscopic Point Clouds
- BabelMR: A Polyglot Framework for Serverless MapReduce
- CAWL: A Cache-aware Write Performance Model of Linux Systems
- Contract-Driven Design of Scientific Data Analysis Workflows
- Deep reinforcement learning for data-driven adaptive scanning in ptychography
- Design by Contract Revisited in the Context of Scientific Data Analysis Workflows
- Desis: Efficient Window Aggregation in Decentralized Networks
- Discovering Multi-Dimensional Subsequence Queries from Traces - From Theory to Practice
- Efficient Multi-Model Management
- EnMAP-Box: Imaging spectroscopy in QGIS
- Evaluating SIMD Compiler-Intrinsics for Database Systems
- From Program Chains to Exploratory Workflows: PopinSnake for Genomic Insertion Detection
- Grammar-based fuzzing of data integration parsers in computational materials science
- How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface
- Large Language Models: The Next Frontier for Variable Discovery within Metamorphic Testing?
- Lazy Read: Asynchronous Execution of Synchronous File I/O
- Lightshow: a Python package for generating computational x-ray absorption spectroscopy input files
- Mapping Tree-shaped Workflows on Systems with Different Memory Sizes and Processor Speeds
- Mapping tree-shaped workflows on memory-heterogeneous architectures
- Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments
- On Irregularity Localisation for Scientific Data Analysis Workflows
- Parameter Prioritization for Efficient Transmission of Neural Networks in Small Satellite Applications
- Predicting Dynamic Memory Requirements for Scientific Workflow Tasks
- Proactive Resource Management to Optimize Distributed Workflow Executions
- Probing Crystallinity and Grain Structure of 2D Materials and 2D-Like Van der Waals Heterostructures by Low-Voltage Electron Diffraction
- Puzzling over Subsequence-Query Extensions: Disjunction and Generalised Gaps
- Roadmap on electronic structure codes in the exascale era
- Similar neural pathways link psychological stress and structural brain health in health and multiple sclerosis
- TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning Systems
- The Common Workflow Scheduler Interface: Status Quo and Future Plans
- Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984 to 2019 – a quantitative evaluation
- Usable Observations over Europe: Evaluation of Compositing Windows for Landsat and Sentinel-2 Time Series
- Variable Discovery with Large Language Models for Metamorphic Testing of Scientific Software
- excitingtools: An exciting Workflow Tool
2022
- A Comparative Evaluation on the Quality of Manual and Automatic Test Case Generation Techniques for Scientific Software-a Case Study of a Python Project for Material Science Workflows
- A Consolidated View on Specification Languages for Data Analysis Workflows
- A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks
- A Three-Dimensional Reconstruction Algorithm for Scanning Transmission Electron Microscopy Data from a Single Sample Orientation
- Approaches Taken to Streamline and Consolidate Large Dataset Processing Techniques, with a Focus on Ptychography
- Automatically finding Metamorphic Relations in Computational Material Science Parsers
- Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview
- Comparison of Compression Methods for Ptychographic Reconstructions through Decomposition of the Diffraction Patterns in Orthonormal Bases
- DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines
- Darwin: Scale-In Stream Processing
- Data augmentation via partial nonlinear registration for brain-age prediction
- Density-of-states similarity descriptor for unsupervised learning from materials data
- Discovering Event Queries from Traces: Laying Foundations for Subsequence-Queries with Wildcards and Gap-Size Constraints
- Discussing Microservices: Definitions, Pitfalls, and their Relations
- Efficiently Managing Deep Learning Models in a Distributed Environment
- Evaluating Multi-GPU Sorting with Modern Interconnects
- FAIR data enabling new horizons for materials research
- Fast datalog evaluation for batch and stream graph processing
- Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
- Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing
- High Resolution Three-Dimensional Reconstructions in Electron Microscopy Through Multifocus Ptychography
- IOSIG: Declarative I/O-Stream Properties Using Pragmas
- Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?
- Interactive Workflows for Exploratory Data Analysis
- Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows
- Lossy Compression of Electron Diffraction Patterns for Ptychography via Change of Basis
- Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters
- Macaw: The Machine Learning Magnetometer Calibration Workflow
- Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany
- Motiflets: Simple and Accurate Detection of Motifs in Time Series
- Multi-View Mesh Reconstruction With Neural Deferred Shading
- Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward
- On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
- Outcome-Preserving Input Reduction for Scientific Data Analysis Workflows
- PerMA-Bench: Benchmarking Persistent Memory Access
- Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
- Predicate-based push-pull communication for distributed CEP
- Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
- RMG Sort: Radix-Partitioning-Based Multi-GPU Sorting
- Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures
- Rethinking Stateful Stream Processing with RDMA
- Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics
- Roadmap on Machine learning in electronic structure
- Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing
- Scalable Discovery of Queries over Event Streams
- Similarity of materials and data-quality assessment by fingerprinting
- Sub-pixel building area mapping based on synthetic training data and regression-based unmixing using Sentinel-1 and-2 data
- Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters
- Towards Advanced Monitoring for Scientific Workflows
- Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud
- Uses of business process modeling in agile software development projects
- ßMACH — A Software Management Guidance
2021
- A Community Roadmap for Scientific Workflows Research and Development
- Adaptive Scanning in Ptychography through Deep Reinforcement Learning
- C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
- Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance
- FORCE on Nextflow: Scalable Analysis of Earth Observation Data on Commodity Clusters
- High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany
- How shift equivariance impacts metric learning for instance segmentation
- Mapping temperate forest tree species using dense Sentinel-2 time series
- National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series
- Population-scale detection of non-reference sequence variants using colored de Bruijn graphs
- Scotty: General and Efficient Open-Source Window Aggregation for Stream Processing Systems
- The Collaborative Research Center FONDA
- Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs
- Viper: An Efficient Hybrid PMem-DRAM Key-Value Store