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
Worked on backend and scientific computing features for the I2PC/xmipp and I2PC/scipion-em-xmipp repositories, focusing on performance and maintainability. Refactored CPU-based mask loading and parameter handling in C++, simplifying code and preparing for scalable CPU and GPU processing. Enabled GPU-accelerated angular assignment for high-resolution reconstructions, leveraging CUDA and parallel computing to improve throughput. Enhanced GPU configuration and test reliability by streamlining parameters and increasing MPI parallelism, while adding multi-GPU support to the FlexAlign protocol for distributed computation. Emphasized code cleanup, test coverage, and performance optimization, using C++ and Python to deliver scalable, maintainable solutions for scientific workflows.
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
Shared Repositories
16
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