Martin Leitner-ankerl is a Principal Software Engineer with 20 years of experience specializing in high-performance native C++ systems and performance engineering at Dynatrace. He brings deep expertise in microbenchmarking, memory allocation strategies, and has a research background in 3D vision and robotics from a long tenure at PROFACTOR. An active open-source contributor, Martin has improved benchmarking frameworks and low-level performance across prominent crypto projects, including measurable speedups in Bitcoin Core and other major implementations. His work on high-performance hashtable libraries and nanobench reflects a focus on rigorous benchmarking, testing, and memory-efficient data structures. Based in Upper Austria, he combines academic rigor with production-grade engineering and a practical interest in Bitcoin that informs his contributions to crypto node performance. Colleagues rely on him for subtle, low-level optimizations that yield outsized system gains.
20 years of coding experience
17 years of employment as a software developer
BG Horn
DI (FH), Computer Software Engineering, DI (FH), Computer Software Engineering at Fachhochschul-Studiengang Oberösterreich
Ing, Control and Feedback Systems Engineering, Ing, Control and Feedback Systems Engineering at HTBLA Hollabrunn
A fast & densely stored hashmap and hashset based on robin-hood backward shift deletion
Role in this project:
Back-end Developer
Contributions:30 releases, 4 reviews, 184 commits in 7 months
Contributions summary:Martin primarily contributed to the implementation and refinement of a high-performance hashmap and hashset library written in C++. Their commits focused on adding and improving core functionalities like insertion, deletion, and lookups. Furthermore, the user optimized the data structures for speed, and addressed bugs, indicating a strong focus on the internal workings and performance of the library. Several commits involve detailed code changes and include benchmarks to validate performance improvements.
Fast & memory efficient hashtable based on robin hood hashing for C++11/14/17/20
Role in this project:
Back-end Developer
Contributions:35 releases, 3 reviews, 841 commits in 9 years
Contributions summary:Martin contributed to the core implementation of a fast and memory-efficient hashtable, a fundamental data structure in C++. The work involved the creation of classes for the hashtable, along with tests and benchmarking to assess its performance. Furthermore, the user explored adding a map data structure and improvements to memory management. The user also added a fast-forward and different mixxing for hash to improve performance.
hashingmemoryc-plus-plusc11compile-time
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Martin Leitner-ankerl - Principal Software Engineer at Dynatrace