EXCEEDS logo
Exceeds
Anamika Chatterjee

PROFILE

Anamika Chatterjee

Anamika Chatterjee enhanced the intel/sycl-tla repository by updating the GEMM example to better utilize Intel Xe MMA capabilities. She introduced new copy atom operations and adopted the MainloopXeL1Staged policy, optimizing execution efficiency for GEMM workloads on Xe hardware. Her work involved refining the collective MMA dispatch policy and integrating updated copy atom traits to support higher throughput. Using C++ and SYCL, Anamika focused on high-performance computing and linear algebra, ensuring the example leveraged recent architectural advances. The depth of her contribution is reflected in the careful alignment of software with hardware features, resulting in improved performance for targeted GPU workloads.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
962
Activity Months1

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

October 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.

Activity

Loading activity data...

Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++CMake

Technical Skills

CUTLASSGPU ProgrammingHigh-Performance ComputingLinear AlgebraSYCL

Repositories Contributed To

1 repo

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

intel/sycl-tla

Oct 2025 Oct 2025
1 Month active

Languages Used

C++CMake

Technical Skills

CUTLASSGPU ProgrammingHigh-Performance ComputingLinear AlgebraSYCL

Generated by Exceeds AIThis report is designed for sharing and indexing