intel/sycl-tla
Oct 2025 – Feb 2026
5 Months active
Languages Used
C++CMakePython
Technical Skills
CUTLASSGPU ProgrammingHigh-Performance ComputingLinear AlgebraSYCLC++
Anamika Chatterjee
PROFILE
Anamika Chatterjee
Worked on the intel/sycl-tla repository, delivering seven features over five months focused on high-performance computing and GPU programming. Developed and optimized GEMM workloads for Intel Xe architectures using C++ and SYCL, introducing new copy atom operations and refining dispatch policies to improve throughput. Enhanced CUTLASS compatibility for Xe12/Xe20, expanded Python-based EVT unit tests, and implemented caching to accelerate test cycles. Improved numerical accuracy in reduction operations and stabilized test frameworks by addressing ABI alignment. Contributed to code quality by standardizing formatting and naming conventions, streamlining device identification, and supporting maintainability for future integration with PyTorch Inductor and EVT Core.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
11Total
Bugs
0
Commits
11
Features
7
Lines of code
12,745
Activity Months5
Your Network
2215 peopleSame Organization
@intel.com2109
Shared Repositories
106
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026: Intel/sycl-tla EVT Core code quality and maintainability enhancements. Implemented Xe typedefs for compute nodes, cleaned up device ID identification, and standardized code formatting. This work reduces technical debt, improves readability, and sets a solid foundation for future EVT and PyTorch Inductor integration.
2 Commits • 1 Features
Feb 1, 2026February 2026: Intel/sycl-tla EVT Core code quality and maintainability enhancements. Implemented Xe typedefs for compute nodes, cleaned up device ID identification, and standardized code formatting. This work reduces technical debt, improves readability, and sets a solid foundation for future EVT and PyTorch Inductor integration.
February 2026
January 2026
5 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for intel/sycl-tla focused on reliability, performance, and expanded test coverage for Xe. Delivered critical EVT test framework and reduction support improvements that enhance test speed, numerical accuracy, and overall verification coverage across Xe architectures.
January 2026
5 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for intel/sycl-tla focused on reliability, performance, and expanded test coverage for Xe. Delivered critical EVT test framework and reduction support improvements that enhance test speed, numerical accuracy, and overall verification coverage across Xe architectures.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for intel/sycl-tla. Key feature delivered: Python EVT Compute Unit Tests and Xe Architecture Support (Xe12/Xe20) for CUTLASS, including new emitter classes and code changes to enable Xe12 and Xe20 compatibility. Improvements to argument handling and memory management for XPU paths to boost performance and compatibility. No major bugs fixed this month; focus on test coverage expansion and architecture support to enable broader Xe-based deployments.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for intel/sycl-tla. Key feature delivered: Python EVT Compute Unit Tests and Xe Architecture Support (Xe12/Xe20) for CUTLASS, including new emitter classes and code changes to enable Xe12 and Xe20 compatibility. Improvements to argument handling and memory management for XPU paths to boost performance and compatibility. No major bugs fixed this month; focus on test coverage expansion and architecture support to enable broader Xe-based deployments.
December 2025
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 — Intel SYCL-TLA monthly summary focused on delivering key features, stabilizing integration work, and driving performance for GEMM workloads across CuTe DSL and CUTLASS components. The month emphasized cross-team collaboration, code quality, and measurable business impact in HPC workloads.
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 — Intel SYCL-TLA monthly summary focused on delivering key features, stabilizing integration work, and driving performance for GEMM workloads across CuTe DSL and CUTLASS components. The month emphasized cross-team collaboration, code quality, and measurable business impact in HPC workloads.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 focused on delivering architecture-aligned performance improvements in the intel/sycl-tla project. Delivered updated GEMM example to leverage Intel Xe MMA with new copy atoms and the MainloopXeL1Staged policy, improving execution efficiency for GEMM workloads on Xe hardware. This work also involved refining the MMA dispatch policy and integrating updated copy atom traits to support higher throughput.
1 Commits • 1 Features
Oct 1, 2025October 2025 focused on delivering architecture-aligned performance improvements in the intel/sycl-tla project. Delivered updated GEMM example to leverage Intel Xe MMA with new copy atoms and the MainloopXeL1Staged policy, improving execution efficiency for GEMM workloads on Xe hardware. This work also involved refining the MMA dispatch policy and integrating updated copy atom traits to support higher throughput.
October 2025
Activity
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Quality Metrics
Correctness88.2%
Maintainability83.6%
Architecture84.6%
Performance86.4%
AI Usage34.6%
Skills & Technologies
Programming Languages
C++CMakePython
Technical Skills
C++C++ DevelopmentC++ developmentCUDACUTLASSCachingData StructuresGPU ProgrammingHigh-Performance ComputingLinear AlgebraMachine LearningMatrix MultiplicationParallel ComputingPerformance OptimizationPython
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