facebook/folly
Mar 2026 – May 2026
2 Months active
Languages Used
C++
Technical Skills
C++C++ developmentalgorithm designbenchmarkingdata structuresperformance optimization
Pasha Bouzarjomehri
PROFILE
Pasha Bouzarjomehri
Worked on the facebook/folly repository over two months, focusing on performance optimization and maintainability of the F14 hash table. Developed and refined internal data structure optimizations, including faster hash and tag computations for integer keys, improved pointer alignment, and CRC alignment considerations using C++ and SIMD intrinsics. Enhanced benchmarking reliability by replacing non-deterministic random inputs with a static seeded RNG, ensuring reproducible performance measurements. Updated documentation to clarify compiler-dependent behavior of TZCNT emission in BoundedMaskIter, guiding future optimization efforts. Collaborated through internal review processes, emphasizing code clarity and maintainability while delivering measurable speedups for hash-heavy workloads.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
110
Activity Months2
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Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly performance summary for developer work focused on the folly repository. Key achievement: clarified TZCNT emission behavior for BoundedMaskIter and updated documentation to reflect non-guaranteed compiler emission and discuss efficiency implications. No functional bugs fixed this month; primarily a maintainability improvement that reduces misinterpretation and guides performance optimization. Collaboration with internal review (Radar) culminated in landing the change.
1 Commits • 1 Features
May 1, 2026May 2026 monthly performance summary for developer work focused on the folly repository. Key achievement: clarified TZCNT emission behavior for BoundedMaskIter and updated documentation to reflect non-guaranteed compiler emission and discuss efficiency implications. No functional bugs fixed this month; primarily a maintainability improvement that reduces misinterpretation and guides performance optimization. Collaboration with internal review (Radar) culminated in landing the change.
May 2026
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.
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.
Activity
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Quality Metrics
Correctness92.0%
Maintainability84.0%
Architecture84.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ developmentalgorithm designalgorithm optimizationbenchmarkingdata structuresperformance optimizationperformance tuning
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