sogno-platform/dpsim
Oct 2024 – Feb 2025
5 Months active
Languages Used
C++CMakeJSONPythonN/AYAMLBashMarkdown
Technical Skills
Build System ConfigurationC++C++ DevelopmentCo-simulationData LoggingEmbedded Systems
Niklas Eiling
PROFILE
Niklas Eiling
Niklas Eiling developed and enhanced real-time simulation and FPGA co-simulation capabilities for the sogno-platform/dpsim repository, focusing on data logging, performance optimization, and system integration. He implemented features such as a RealTimeDataLogger, per-step timing with overrun detection, and Python bindings for data logging workflows, using C++, Python, and CMake. His work included expanding HIL and PHIL support, improving system topology visualization, and optimizing simulation performance through build system refinements. By addressing stability, portability, and code quality, Niklas enabled more accurate, scalable simulations and streamlined developer onboarding, demonstrating depth in embedded systems, defensive programming, and real-time systems engineering.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
35Total
Bugs
9
Commits
35
Features
12
Lines of code
2,195
Activity Months5
Your Network
36 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary: Delivered focused documentation enhancements for real-time simulation in sogno-platform/dpsim, strengthening platform reliability and developer onboarding. No major bugs fixed this period. The documentation updates clarify OS tuning for real-time performance and provide detailed configuration and usage guidance for queued and queueless VILLASnode interfaces, including new examples for advanced real-time setups. These changes reduce deployment risk and accelerate productive use of real-time features across customer deployments.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary: Delivered focused documentation enhancements for real-time simulation in sogno-platform/dpsim, strengthening platform reliability and developer onboarding. No major bugs fixed this period. The documentation updates clarify OS tuning for real-time performance and provide detailed configuration and usage guidance for queued and queueless VILLASnode interfaces, including new examples for advanced real-time setups. These changes reduce deployment risk and accelerate productive use of real-time features across customer deployments.
February 2025
January 2025
14 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for sogno-platform/dpsim: Delivered stability, performance, and usability improvements with targeted fixes and Python accessibility enhancements. The changes improve correctness of simulations, enable Python-based data logging workflows, and strengthen GPU-accelerated calculations, contributing to faster troubleshooting and more reliable deployments.
January 2025
14 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for sogno-platform/dpsim: Delivered stability, performance, and usability improvements with targeted fixes and Python accessibility enhancements. The changes improve correctness of simulations, enable Python-based data logging workflows, and strengthen GPU-accelerated calculations, contributing to faster troubleshooting and more reliable deployments.
December 2024
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12 | Repository: sogno-platform/dpsim Key features delivered: - Simulation performance optimization and VBR modeling enhancements: Implemented experimental compile flags in CMake (RelWithDebInfo) to accelerate simulation runtime. Updated HIL example to support VBR (Voltage-Based Representation) generator with dynamic full models, VBR-specific generator and exciter parameters for GEN1-3, adjusted current offset, and enabled system matrix recomputation for faster, more accurate simulations. Major bugs fixed: - None reported this month; efforts centered on performance improvements and feature enhancements. Overall impact and accomplishments: - Business value: Significantly faster simulation turnaround enables more iterations, larger-scale studies, and quicker validation of modeling changes, improving time-to-insight for development and testing. - Technical impact: Performance-focused refactors and new VBR support improved fidelity and throughput, enabling more accurate and scalable simulations with tighter numerical stability. Technologies/skills demonstrated: - CMake and build optimization (RelWithDebInfo flags) - HIL testing and workflow adaptations - VBR modeling and parameterization (GEN1-3, exciters) - Dynamic full models and system matrix recomputation - Numerical stability considerations (current offset adjustments) - Performance engineering and impact analysis
2 Commits • 1 Features
Dec 1, 2024Month: 2024-12 | Repository: sogno-platform/dpsim Key features delivered: - Simulation performance optimization and VBR modeling enhancements: Implemented experimental compile flags in CMake (RelWithDebInfo) to accelerate simulation runtime. Updated HIL example to support VBR (Voltage-Based Representation) generator with dynamic full models, VBR-specific generator and exciter parameters for GEN1-3, adjusted current offset, and enabled system matrix recomputation for faster, more accurate simulations. Major bugs fixed: - None reported this month; efforts centered on performance improvements and feature enhancements. Overall impact and accomplishments: - Business value: Significantly faster simulation turnaround enables more iterations, larger-scale studies, and quicker validation of modeling changes, improving time-to-insight for development and testing. - Technical impact: Performance-focused refactors and new VBR support improved fidelity and throughput, enabling more accurate and scalable simulations with tighter numerical stability. Technologies/skills demonstrated: - CMake and build optimization (RelWithDebInfo flags) - HIL testing and workflow adaptations - VBR modeling and parameterization (GEN1-3, exciters) - Dynamic full models and system matrix recomputation - Numerical stability considerations (current offset adjustments) - Performance engineering and impact analysis
December 2024
November 2024
12 Commits • 5 Features
Nov 1, 2024November 2024 focused on delivering core PHIL/co-simulation components and expanding FPGA-based HIL capabilities, while improving topology visualization, robustness, and portability. Key back-end work includes pybind bindings for new electrical models, new co-simulation examples (3-phase infinite bus and 9-bus HIL), enhanced system topology descriptions and event support, plus stability and safety improvements that reduce risk in production deployments. These changes enable more accurate real-time emulation, smoother PHIL integration, and lower maintenance costs due to portable paths and null-pointer safety.
November 2024
12 Commits • 5 Features
Nov 1, 2024November 2024 focused on delivering core PHIL/co-simulation components and expanding FPGA-based HIL capabilities, while improving topology visualization, robustness, and portability. Key back-end work includes pybind bindings for new electrical models, new co-simulation examples (3-phase infinite bus and 9-bus HIL), enhanced system topology descriptions and event support, plus stability and safety improvements that reduce risk in production deployments. These changes enable more accurate real-time emulation, smoother PHIL integration, and lower maintenance costs due to portable paths and null-pointer safety.
October 2024
6 Commits • 4 Features
Oct 1, 2024October 2024 monthly summary highlighting delivered features, fixes, and impact for sogno-platform/dpsim. Key work focused on real-time observability, FPGA co-simulation interoperability, and solver reliability enhancements that directly elevate data fidelity, performance visibility, and integration with FPGA-based validation workflows.
6 Commits • 4 Features
Oct 1, 2024October 2024 monthly summary highlighting delivered features, fixes, and impact for sogno-platform/dpsim. Key work focused on real-time observability, FPGA co-simulation interoperability, and solver reliability enhancements that directly elevate data fidelity, performance visibility, and integration with FPGA-based validation workflows.
October 2024
Activity
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Quality Metrics
Correctness86.4%
Maintainability86.2%
Architecture82.6%
Performance78.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashC++CMakeJSONMarkdownN/APythonYAML
Technical Skills
Build System ConfigurationBuild SystemsC++C++ DevelopmentCI/CDCMakeCircuit DesignCo-simulationCode CleanupCode Ownership ManagementCode RefactoringCompiler WarningsData LoggingDebuggingDefensive Programming
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