ROCm/xla
Feb 2025 – May 2025
3 Months active
Languages Used
C++MLIR
Technical Skills
multithreadingperformance optimizationsystem programmingCUDAGPU programmingMLIR
Kasper Nielsen
PROFILE
Kasper Nielsen
Worked across ROCm/xla, ROCm/tensorflow-upstream, and Intel-tensorflow/xla to deliver robust FP8 tensor lowering, enabling efficient and correct FP8 tensor operations by standardizing bitcast support and atomic RMW handling using LLVM and MLIR. Improved JIT compiler stability on macOS by tuning thread stack sizes and optimizing thread pools, reducing crash rates for XLA workloads. Enhanced the Triton compiler’s FP8 conversion logic, adding unit tests and refactoring for maintainability. In the intel-xpu-backend-for-triton repository, stabilized autotuner hooks by handling None tensor arguments and adding regression tests. Demonstrated expertise in C++, Python, debugging, compiler design, and performance optimization throughout these contributions.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
6Total
Bugs
3
Commits
6
Features
3
Lines of code
616
Activity Months4
Your Network
748 peopleShared Repositories
748
Work History
May 2026
1 Commits
May 1, 2026May 2026: Stabilized autotuner hooks in the intel-xpu-backend-for-triton by gracefully handling None tensor arguments, added regression tests, and hardened the workflow against optional-pointer patterns.
1 Commits
May 1, 2026May 2026: Stabilized autotuner hooks in the intel-xpu-backend-for-triton by gracefully handling None tensor arguments, added regression tests, and hardened the workflow against optional-pointer patterns.
May 2026
May 2025
3 Commits • 3 Features
May 1, 2025May 2025 monthly performance summary focusing on FP8 tensor lowering across ROCm and XLA ecosystems. Delivered FP8 bitcast support and atomic RMW operations by standardizing FP8 lowering path and aligning across repositories; enabled correct and efficient FP8 tensor computations; cross-repo delivery and groundwork for FP8 performance improvements.
May 2025
3 Commits • 3 Features
May 1, 2025May 2025 monthly performance summary focusing on FP8 tensor lowering across ROCm and XLA ecosystems. Delivered FP8 bitcast support and atomic RMW operations by standardizing FP8 lowering path and aligning across repositories; enabled correct and efficient FP8 tensor computations; cross-repo delivery and groundwork for FP8 performance improvements.
March 2025
1 Commits
Mar 1, 2025March 2025 monthly summary (ROCm/xla): Implemented a targeted FP8 to FP16 conversion workaround in the Triton compiler to fix fused FP8 <-> FP8 conversions, added unit tests to verify correctness, and refactored the related code for maintainability. The changes improve numeric correctness and stability for FP8-based workloads and strengthen Triton/NVIDIA integration within ROCm/xla.
1 Commits
Mar 1, 2025March 2025 monthly summary (ROCm/xla): Implemented a targeted FP8 to FP16 conversion workaround in the Triton compiler to fix fused FP8 <-> FP8 conversions, added unit tests to verify correctness, and refactored the related code for maintainability. The changes improve numeric correctness and stability for FP8-based workloads and strengthen Triton/NVIDIA integration within ROCm/xla.
March 2025
February 2025
1 Commits
Feb 1, 2025February 2025 monthly summary for ROCm/xla focusing on JIT stability improvements on macOS and related cross-platform performance gains.
February 2025
1 Commits
Feb 1, 2025February 2025 monthly summary for ROCm/xla focusing on JIT stability improvements on macOS and related cross-platform performance gains.
Activity
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Quality Metrics
Correctness93.4%
Maintainability83.4%
Architecture83.4%
Performance83.4%
AI Usage26.6%
Skills & Technologies
Programming Languages
C++MLIRPython
Technical Skills
CUDADebuggingGPU programmingLLVMMLIRPythonSoftware DevelopmentTestingTritoncompiler designlow-level programmingmultithreadingperformance optimizationsystem programmingtensor manipulation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
ROCm/tensorflow-upstream
May 2025 – May 2025
1 Month active
Languages Used
C++
Technical Skills
LLVMMLIRtensor operations
Intel-tensorflow/xla
May 2025 – May 2025
1 Month active
Languages Used
C++MLIR
Technical Skills
compiler designlow-level programmingtensor manipulation
intel/intel-xpu-backend-for-triton
May 2026 – May 2026
1 Month active
Languages Used
Python
Technical Skills
DebuggingPythonSoftware DevelopmentTesting