facebook/folly
Mar 2026 – Mar 2026
1 Month active
Languages Used
C++
Technical Skills
C++C++ developmentalgorithm designbenchmarkingdata structuresperformance optimization
Pasha Bouzarjomehri
PROFILE
Pasha Bouzarjomehri
During March 2026, Pasha Babushkin focused on optimizing the F14 hash table within the facebook/folly repository, targeting faster lookup performance and more reliable benchmarking. He consolidated internal data structure optimizations, improved hash and tag computations for integer keys, and refined pointer alignment, leveraging C++ and SIMD intrinsics such as CRC32 and TZCNT. Pasha also refactored key components to accelerate Find operations, achieving measurable speedups in benchmarks. To ensure reproducible performance measurements, he replaced non-deterministic random input generation with a static seeded RNG. His work demonstrated depth in algorithm design, data structure refactoring, and performance benchmarking for hash-intensive workloads.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
105
Activity Months1
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Work History
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for facebook/folly. Focused on performance optimization of the F14 hash table and establishing reproducible benchmarks. Key efforts included: 1) F14 Hash Table Performance Optimizations: consolidated internal data-structure optimizations, faster hash and tag computations for integer keys, improved pointer alignment, CRC alignment considerations, and refactoring of tagMatchIter with BoundMaskIter to speed up Find operations. Benchmarks show geomean Find speedups of +2.41% over the previous change and +4.07% over the base commit. A second iteration refined tag entropy and alignment for non-L1D scenarios with parity on other cases. 2) HashMaps Benchmark Reproducibility Improvements: replaced folly::Random-based inputs with a static seeded RNG to achieve deterministic benchmarks and apples-to-apples comparisons across runs. 3) Overall impact: faster critical-path lookups in hash-heavy workloads and more reliable, regression-friendly benchmarking. 4) Technologies/skills demonstrated: C++, SIMD intrinsics (CRC32, TZCNT), data-structure refactoring, performance benchmarking, buck2, and review processes.
4 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for facebook/folly. Focused on performance optimization of the F14 hash table and establishing reproducible benchmarks. Key efforts included: 1) F14 Hash Table Performance Optimizations: consolidated internal data-structure optimizations, faster hash and tag computations for integer keys, improved pointer alignment, CRC alignment considerations, and refactoring of tagMatchIter with BoundMaskIter to speed up Find operations. Benchmarks show geomean Find speedups of +2.41% over the previous change and +4.07% over the base commit. A second iteration refined tag entropy and alignment for non-L1D scenarios with parity on other cases. 2) HashMaps Benchmark Reproducibility Improvements: replaced folly::Random-based inputs with a static seeded RNG to achieve deterministic benchmarks and apples-to-apples comparisons across runs. 3) Overall impact: faster critical-path lookups in hash-heavy workloads and more reliable, regression-friendly benchmarking. 4) Technologies/skills demonstrated: C++, SIMD intrinsics (CRC32, TZCNT), data-structure refactoring, performance benchmarking, buck2, and review processes.
March 2026
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Quality Metrics
Correctness95.0%
Maintainability85.0%
Architecture85.0%
Performance95.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ developmentalgorithm designbenchmarkingdata structuresperformance optimization
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