KaHIP -- HIGH Quality Partitioning.
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Updated
Apr 15, 2026 - C++
KaHIP -- HIGH Quality Partitioning.
Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg
This repository consists of all my projects completed in university and work experiences.
Shared-Memory Algorithm for Process Mapping
The smartest way to map, teach, and evolve workflows. Workable uses a distributed reasoning engine to turn intricate personal and professional processes into visually intuitive maps. It eliminates onboarding friction, identifies hidden bottlenecks, and actively proposes optimized workflow alternatives to ensure continuous improvement from day one.
Streaming Process Mapping
Library with reordering algorithms for the MPI_Cart_comm reorder flag
A practical methodology for mapping business processes and designing safe, measurable AI-agent automation pilots.
List of locales available on Skore
Hands-on exercises and templates for Business Analysts and Product Owners to practice user story writing, process mapping, and acceptance testing.
OnDeLoc-MPI implementation on OpenMPI
Business Analysis portfolio including showcasing real-world case studies, End-to-end artifacts workflows, requirements documentation, wireframes, domain models, and case studies across multiple industry contexts.
Just imagine.
A professional, privacy-focused, client-side flowchart creation tool that enables users to design, customize, and export high-quality flowcharts without writing a single line of code.
GPU-accelerated Graph Partitioning and Process Mapping
Job-ready Business Analyst portfolio featuring end-to-end case studies with dashboards, Excel analysis, BRD/FRD documentation, stakeholder artifacts, process diagrams, and executive deliverables.
Vector Graphics for Process Map Diagrams/Symbols
Process Flow Diagrams are visual representations that illustrate the sequential steps and decision points in a process, showing how inputs are transformed into outputs through various activities and pathways.
Process mapping and analysis using Miro to design an AI-ready customer support framework, identifying automation opportunities and integration points for improved efficiency.
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