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Smoliansky Kathrine

PROFILE

Smoliansky Kathrine

Over two months, contributed backend and performance improvements to intel/intel-xpu-backend-for-triton and intel/sycl-tla, focusing on Windows compatibility and precise timing. Addressed sub-millisecond timing instability by switching to Python’s time.perf_counter_ns and migrating internal storage from float to int, ensuring stable compile-time metrics for CI and performance analysis. Enhanced Windows build and runtime support by resolving type mismatches in C++ templates, implementing DLL management, and refining symbol exports, all while maintaining Linux behavior. These changes enabled reliable cross-platform benchmarking and reduced integration blockers, demonstrating expertise in Python, C++, SYCL, and Windows API for robust backend and system-level development.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

3Total
Bugs
3
Commits
3
Features
0
Lines of code
76
Activity Months2

Work History

July 2026

2 Commits

Jul 1, 2026

July 2026 performance summary: Windows-wide build and runtime compatibility improvements across SYCL-TLA and the Intel xpu backend for Triton, enabling reliable cross-platform benchmarking and end-to-end validation with no performance regressions. Implemented host-type fixes, platform guards, and symbol exporting to ensure Windows builds compile and run, while keeping Linux behavior unchanged. These changes reduce blockers for Windows-based workloads and improve overall code health and maintainability.

June 2026

1 Commits

Jun 1, 2026

June 2026 — intel/intel-xpu-backend-for-triton performance and backend development summary. Key features delivered: - CompileTimer Timing Accuracy and Precision Fix: switched timing source on Windows to time.perf_counter_ns, migrated internal storage from float to int, and implemented ns->us conversion in delta calculations to improve precision. Major bugs fixed: - Resolved sub-millisecond timing granularity on Windows that caused unstable compile stats; timing now stable and deterministic for performance measurements. Overall impact and accomplishments: - More reliable compile-time telemetry across Windows CI, enabling faster debugging, capacity planning, and performance optimizations. External API surface remains unchanged (CompileTimes still reports microseconds). Technologies/skills demonstrated: - High-resolution timing (perf_counter_ns), integer-based timing storage and arithmetic, cross-platform timing instrumentation, and careful data-type migration. Clear PR documentation and traceability via commit dc84ca75e766e8a6ff8d3d86d811573f72863c37.

Activity

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Quality Metrics

Correctness100.0%
Maintainability86.6%
Architecture80.0%
Performance93.4%
AI Usage53.4%

Skills & Technologies

Programming Languages

Python

Technical Skills

C++Compiler CompatibilityDLL managementPythonSYCLWindows APIWindows Developmentbackend developmentperformance optimization

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

intel/intel-xpu-backend-for-triton

Jun 2026 Jul 2026
2 Months active

Languages Used

Python

Technical Skills

Pythonbackend developmentperformance optimizationC++DLL managementSYCL

intel/sycl-tla

Jul 2026 Jul 2026
1 Month active

Languages Used

No languages

Technical Skills

C++Compiler CompatibilitySYCLWindows Development