tenstorrent/tt-mlir
Jul 2025 – Oct 2025
2 Months active
Languages Used
C++MLIRPythonTableGen
Technical Skills
Compiler DevelopmentDomain-Specific Languages (DSLs)IR DesignTestingMLIROptimization
Mo Bagherbeik
PROFILE
Mo Bagherbeik
Mbagherbeik contributed to the tenstorrent/tt-mlir repository by developing features that enhanced both usability and performance in MLIR-based compiler workflows. He implemented a custom print format for TTKernel operations using TableGen and C++, introducing an assemblyFormat field to standardize operation representation and improve debugging consistency. In a separate effort, he designed and integrated two MLIR optimization passes—elementwise fusion and loop fission—for D2M.generic operations, reducing intermediate tensors and improving memory locality. These changes streamlined load-compute-store patterns, resulting in faster inference and training. His work demonstrated depth in compiler development, IR design, and pass development, with a focus on maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
2,660
Activity Months2
Your Network
390 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Focused on performance optimization in tenstorrent/tt-mlir, delivering two MLIR optimization passes that materially improve compute-bound D2M.generic paths: elementwise fusion and loop fission. These changes reduce intermediate tensors, improve locality, and enhance load-compute-store patterns, contributing to faster inference/training workloads and better resource utilization. No major bug fixes were reported this month; ongoing stability improvements continue via optimization passes.
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Focused on performance optimization in tenstorrent/tt-mlir, delivering two MLIR optimization passes that materially improve compute-bound D2M.generic paths: elementwise fusion and loop fission. These changes reduce intermediate tensors, improve locality, and enhance load-compute-store patterns, contributing to faster inference/training workloads and better resource utilization. No major bug fixes were reported this month; ongoing stability improvements continue via optimization passes.
October 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025Concise monthly summary for 2025-07 focused on delivering business value and technical excellence for the tt-mlir repository.
July 2025
1 Commits • 1 Features
Jul 1, 2025Concise monthly summary for 2025-07 focused on delivering business value and technical excellence for the tt-mlir repository.
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MLIRPythonTableGen
Technical Skills
Compiler DevelopmentDomain-Specific Languages (DSLs)IR DesignMLIROptimizationPass DevelopmentTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline