Yehudis S.

Responsibilities:

• Implemented the core poly-streaming maximum weight matching (PS-MWM) algorithm in C++ based on the “Weighted Matching in a Poly-Streaming Model” paper, including per-thread stacks and dual variables.

• Replaced a mutex-based synchronization scheme with a hybrid atomic design that reduced contention between threads and improved parallel runtime.

• Performed detailed performance profiling (perf + Google Benchmark) to identify mutex contention, measure scalability, and guide low-level optimizations.

• Designed and implemented multi-processor parallelization of the streaming algorithm, including thread creation, work distribution across streams, and synchronization.

• Added NUMA-aware execution by grouping threads per socket, partitioning data structures per NUMA node, and ensuring local memory access for each thread group.

• Implemented and maintained CI pipelines (GitHub Actions) for automatic build, tests, and basic checks on the PS-MWM codebase.

• Research: Evaluated alternative synchronization strategies (pure mutex vs. hybrid atomics) and multi-processor configurations to understand their impact on performance.