I2PC/scipion-em-xmipp
Nov 2024 – Dec 2024
2 Months active
Languages Used
Python
Technical Skills
GPU ComputingPerformance OptimizationScientific ComputingBackend DevelopmentParallel ComputingSoftware Development
Mikel Iceta Tena
PROFILE
Mikel Iceta Tena
During a two-month period, Miceta enhanced the I2PC/xmipp and I2PC/scipion-em-xmipp repositories by refactoring CPU-based mask loading and enabling GPU-accelerated angular assignment for high-resolution reconstructions. Using C++ and Python, Miceta streamlined parameter handling and removed deprecated code to improve maintainability. In I2PC/scipion-em-xmipp, they simplified GPU configuration, stabilized GPU-related test flows, and introduced multi-GPU processing support in the FlexAlign protocol, allowing distributed computation across multiple GPUs. Their work focused on backend development, GPU computing, and parallel processing, resulting in improved performance, scalability, and reliability for scientific computing workflows without introducing new bugs or regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
4
Lines of code
73
Activity Months2
Your Network
19 peopleSame Organization
@cnb.csic.es3
Work History
December 2024
3 Commits • 2 Features
Dec 1, 20242024-12: GPU acceleration improvements and multi-GPU scalability across the I2PC/scipion-em-xmipp repository. Focus was on simplifying configuration, stabilizing GPU-related test flows, and enabling distributed GPU processing to boost throughput. No explicit critical bugs logged this month; the changes primarily enhance performance, reliability, and scalability for GPU-enabled workflows.
3 Commits • 2 Features
Dec 1, 20242024-12: GPU acceleration improvements and multi-GPU scalability across the I2PC/scipion-em-xmipp repository. Focus was on simplifying configuration, stabilizing GPU-related test flows, and enabling distributed GPU processing to boost throughput. No explicit critical bugs logged this month; the changes primarily enhance performance, reliability, and scalability for GPU-enabled workflows.
December 2024
November 2024
3 Commits • 2 Features
Nov 1, 2024Month: 2024-11 Concise monthly summary focusing on business value and technical achievements across I2PC/xmipp and I2PC/scipion-em-xmipp. Highlights include a CPU-based mask loading refactor and GPU-accelerated angular assignment, plus code cleanup to reduce maintenance burden. Overall impact includes improved maintainability, clearer parameter handling, and prepared paths for scalable CPU/GPU processing.
November 2024
3 Commits • 2 Features
Nov 1, 2024Month: 2024-11 Concise monthly summary focusing on business value and technical achievements across I2PC/xmipp and I2PC/scipion-em-xmipp. Highlights include a CPU-based mask loading refactor and GPU-accelerated angular assignment, plus code cleanup to reduce maintenance burden. Overall impact includes improved maintainability, clearer parameter handling, and prepared paths for scalable CPU/GPU processing.
Activity
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Quality Metrics
Correctness83.4%
Maintainability86.6%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Backend DevelopmentC++ DevelopmentCPU OptimizationCode RefactoringGPU ComputingParallel ComputingParameter HandlingPerformance OptimizationScientific ComputingSoftware DevelopmentTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
I2PC/xmipp
Nov 2024 – Nov 2024
1 Month active
Languages Used
C++
Technical Skills
C++ DevelopmentCPU OptimizationCode RefactoringParameter Handling