ROCm/rocMLIR
Oct 2024 – Mar 2026
11 Months active
Languages Used
GroovyBashCC++CMakeMLIRTableGenPython
Technical Skills
CI/CDJenkinsSystem ConfigurationBuild SystemsDockerShell Scripting
stefankoncarevic
PROFILE
Stefankoncarevic
Worked extensively on ROCm/rocMLIR, delivering features and fixes that advanced GPU compiler infrastructure, CI reliability, and performance optimization. Focused on MLIR dialect development, MFMA kernel tuning, and GEMM optimization, this developer implemented hardware-aware test parallelism, dynamic configuration management, and robust CI/CD pipelines using C++, Python, and Jenkins. They introduced LDS transpose load operations for matrix accelerators, expanded test coverage for new GPU architectures, and improved benchmarking accuracy. Their approach emphasized maintainable code, comprehensive testing, and reproducible builds, resulting in more reliable nightly validation and streamlined support for evolving ROCm hardware. Contributions demonstrated depth in compiler design and GPU programming.
Overall Statistics
Feature vs Bugs
55%Features
Repository Contributions
36Total
Bugs
13
Commits
36
Features
16
Lines of code
6,213
Activity Months11
Your Network
1589 peopleSame Organization
@amd.com1561
7b30f3f5e26d48061f873d04cc7e1d1f_amdengMember
GunaShekar, AjayMember
aasbodduMember
Abdul Lateef AttarMember
Acim MaravicMember
Adam DickinMember
Pryor, AdamMember
Pryor, AdamMember
Adel JoharMember
Work History
March 2026
2 Commits • 2 Features
Mar 1, 20262026-03 ROCm/rocMLIR Monthly Summary: Delivered performance-focused feature work with accompanying tests, driving tangible improvements in kernel tuning and codegen reliability. Key features delivered: - Occupancy filter for rdnaWaves during greedy tuning to prune the search space and recover practical tuning speed on RDNA targets. Commit: 5ba2dea97473f47ec35ae22284f25411138a7fee - Enhanced MFMA instruction selection with kpack support and relaxed validation to improve double-rate MFMA utilization (e.g., gfx950/gfx942) and enable better performance in kpack=4 paths. Commit: 4a91f02239dd43c6d4e857b3799d81010c4e197b Major bugs fixed/quality improvements: - Fixed the RDNA greedy tuning search-space explosion by introducing the occupancy filter, reducing configs per problem and aligning greedy performance closer to exhaustive. - Relaxed kpack validation for certain k_base values and added tests to ensure correctness, stabilizing scheduling across pipelines. Included code formatting fixes. Overall impact and accomplishments: - Faster, more predictable kernel tuning for RDNA GPUs; improved throughput and efficiency of attention-kernel tuning; better alignment between greedy and exhaustive approaches; stronger test coverage and CI readiness. Technologies/skills demonstrated: - RDNA tuning strategies, MFMA scheduling, kpack optimizations, scheduleVersion handling, lit tests, and rigorous code quality practices.
2 Commits • 2 Features
Mar 1, 20262026-03 ROCm/rocMLIR Monthly Summary: Delivered performance-focused feature work with accompanying tests, driving tangible improvements in kernel tuning and codegen reliability. Key features delivered: - Occupancy filter for rdnaWaves during greedy tuning to prune the search space and recover practical tuning speed on RDNA targets. Commit: 5ba2dea97473f47ec35ae22284f25411138a7fee - Enhanced MFMA instruction selection with kpack support and relaxed validation to improve double-rate MFMA utilization (e.g., gfx950/gfx942) and enable better performance in kpack=4 paths. Commit: 4a91f02239dd43c6d4e857b3799d81010c4e197b Major bugs fixed/quality improvements: - Fixed the RDNA greedy tuning search-space explosion by introducing the occupancy filter, reducing configs per problem and aligning greedy performance closer to exhaustive. - Relaxed kpack validation for certain k_base values and added tests to ensure correctness, stabilizing scheduling across pipelines. Included code formatting fixes. Overall impact and accomplishments: - Faster, more predictable kernel tuning for RDNA GPUs; improved throughput and efficiency of attention-kernel tuning; better alignment between greedy and exhaustive approaches; stronger test coverage and CI readiness. Technologies/skills demonstrated: - RDNA tuning strategies, MFMA scheduling, kpack optimizations, scheduleVersion handling, lit tests, and rigorous code quality practices.
March 2026
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 performance summary for ROCm/rocMLIR development focused on advancing high-throughput GEMM paths and improving CI reliability. Key work centered on enabling efficient LDS transpose load in attention GEMM, expanding configuration support, and hardening nightly tests to ensure robust validation of changes.
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 performance summary for ROCm/rocMLIR development focused on advancing high-throughput GEMM paths and improving CI reliability. Key work centered on enabling efficient LDS transpose load in attention GEMM, expanding configuration support, and hardening nightly tests to ensure robust validation of changes.
December 2025
1 Commits • 1 Features
Dec 1, 2025In December 2025, delivered the LDS Transpose Load Operation for Matrix Accelerators in ROCm/rocMLIR, enabling efficient data movement between LDS and registers for MFMA-based pipelines. Implemented end-to-end support for multiple data types (FP16 and BF16), layouts (L16x16, L32x16, L32x8), and per-operand transpose decisions; lowered to amdgpu.transpose_load; introduced the LdsTransposeLoadOp and comprehensive MLIR tests, including a new TOML-based test suite with gfx950 gating. The change improves MFMA data throughput, reduces stalls in threadwise reads, and scales to multi-K configurations. Includes extensive test groundwork, code refactors, and architectural guards to ensure correctness on supported hardware. Commit 37fa8bd7609cd1efbf9d74e6aa96d8297f69268a documents the breadth of these changes, including test updates and stability fixes across single/double buffering paths.
1 Commits • 1 Features
Dec 1, 2025In December 2025, delivered the LDS Transpose Load Operation for Matrix Accelerators in ROCm/rocMLIR, enabling efficient data movement between LDS and registers for MFMA-based pipelines. Implemented end-to-end support for multiple data types (FP16 and BF16), layouts (L16x16, L32x16, L32x8), and per-operand transpose decisions; lowered to amdgpu.transpose_load; introduced the LdsTransposeLoadOp and comprehensive MLIR tests, including a new TOML-based test suite with gfx950 gating. The change improves MFMA data throughput, reduces stalls in threadwise reads, and scales to multi-K configurations. Includes extensive test groundwork, code refactors, and architectural guards to ensure correctness on supported hardware. Commit 37fa8bd7609cd1efbf9d74e6aa96d8297f69268a documents the breadth of these changes, including test updates and stability fixes across single/double buffering paths.
December 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ROCm/rocMLIR: Stabilized CI and delivered critical environment updates to reduce flaky tests and accelerate feedback loops. Key changes include updating the CI Docker image to ROCm 6.4.2 to fix memory access faults, aligning image tags to prevent build failures, and tuning CI test execution to improve reliability and performance across GPU architectures. These efforts contributed to more reliable merges, shorter cycle times, and demonstrable improvements in test stability and overall platform quality.
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ROCm/rocMLIR: Stabilized CI and delivered critical environment updates to reduce flaky tests and accelerate feedback loops. Key changes include updating the CI Docker image to ROCm 6.4.2 to fix memory access faults, aligning image tags to prevent build failures, and tuning CI test execution to improve reliability and performance across GPU architectures. These efforts contributed to more reliable merges, shorter cycle times, and demonstrable improvements in test stability and overall platform quality.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 highlights for ROCm/rocMLIR focused on performance tuning and test optimization for MFMA workloads. Delivered dynamic and hardware-aware MFMA parallelism tuning by introducing setLitWorkerCount to determine the appropriate number of workers for different GPU types (e.g., gfx908, gfx90a), optimizing lit-based test execution and resource utilization.
1 Commits • 1 Features
Jun 1, 2025June 2025 highlights for ROCm/rocMLIR focused on performance tuning and test optimization for MFMA workloads. Delivered dynamic and hardware-aware MFMA parallelism tuning by introducing setLitWorkerCount to determine the appropriate number of workers for different GPU types (e.g., gfx908, gfx90a), optimizing lit-based test execution and resource utilization.
June 2025
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on stabilizing CI, ensuring benchmarking accuracy, and tightening configuration flows in ROCm/rocMLIR. Delivered measurable improvements to nightly test reliability and benchmarking integrity while fixing configuration issues that could impact performance sweeps.
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary focused on stabilizing CI, ensuring benchmarking accuracy, and tightening configuration flows in ROCm/rocMLIR. Delivered measurable improvements to nightly test reliability and benchmarking integrity while fixing configuration issues that could impact performance sweeps.
March 2025
5 Commits • 1 Features
Mar 1, 2025In 2025-03, ROCm/rocMLIR delivered meaningful improvements in hardware support, CI stability, and security, driving reliability and developer productivity. Highlights include gfx942 support and enhanced performance reporting, robust CI image/build fixes, and security hardening of CI pipelines. These changes reduce nightly build failures, streamline upgrade paths for new GPUs, and strengthen the project’s operational posture across the ROCm stack.
5 Commits • 1 Features
Mar 1, 2025In 2025-03, ROCm/rocMLIR delivered meaningful improvements in hardware support, CI stability, and security, driving reliability and developer productivity. Highlights include gfx942 support and enhanced performance reporting, robust CI image/build fixes, and security hardening of CI pipelines. These changes reduce nightly build failures, streamline upgrade paths for new GPUs, and strengthen the project’s operational posture across the ROCm stack.
March 2025
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 - ROCm/rocMLIR: Focused on strengthening test infrastructure, expanding BF16 coverage, and stabilizing CI. Delivered targeted test improvements across fusion tests, expanded BF16 end-to-end validation on gfx11 and Navi3x, and fixed gfx950 CI discrepancies. Result: more reliable tests, broader GPU coverage, and clearer build outputs for faster validation of performance-oriented changes.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 - ROCm/rocMLIR: Focused on strengthening test infrastructure, expanding BF16 coverage, and stabilizing CI. Delivered targeted test improvements across fusion tests, expanded BF16 end-to-end validation on gfx11 and Navi3x, and fixed gfx950 CI discrepancies. Result: more reliable tests, broader GPU coverage, and clearer build outputs for faster validation of performance-oriented changes.
January 2025
10 Commits • 4 Features
Jan 1, 2025January 2025 performance highlights for ROCm/rocMLIR. Focus was delivering feature capabilities for MLIR-to-TOSA translation, stabilizing builds/tests, and streamlining CI, with an emphasis on business value and maintainability.
10 Commits • 4 Features
Jan 1, 2025January 2025 performance highlights for ROCm/rocMLIR. Focus was delivering feature capabilities for MLIR-to-TOSA translation, stabilizing builds/tests, and streamlining CI, with an emphasis on business value and maintainability.
January 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024In December 2024, delivered CI/CD enhancements for MIGraphX integration tests within ROCm/rocMLIR, with aligned ROCm image usage across the CI pipeline. Implemented Jenkins credential management for test access, added model mounting support in tests, and updated ROCm-based build processes. Jenkinsfiles were standardized to consistently use the rocm-6.3 Docker image across variations, improving environment consistency and reproducibility of test results.
December 2024
2 Commits • 1 Features
Dec 1, 2024In December 2024, delivered CI/CD enhancements for MIGraphX integration tests within ROCm/rocMLIR, with aligned ROCm image usage across the CI pipeline. Implemented Jenkins credential management for test access, added model mounting support in tests, and updated ROCm-based build processes. Jenkinsfiles were standardized to consistently use the rocm-6.3 Docker image across variations, improving environment consistency and reproducibility of test results.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for ROCm/rocMLIR: Delivered Navi4x architecture support in nightly CI by integrating Navi4x tests/build options into the main Jenkinsfile and removing the separate Navi4x Jenkinsfile. This unifies CI configuration, reduces maintenance, and accelerates feedback for Navi4x validation. No new major bugs were introduced; existing tests continue to validate the Navi4x path within nightly CI. Alignment with ROCm CI standards was maintained.
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for ROCm/rocMLIR: Delivered Navi4x architecture support in nightly CI by integrating Navi4x tests/build options into the main Jenkinsfile and removing the separate Navi4x Jenkinsfile. This unifies CI configuration, reduces maintenance, and accelerates feedback for Navi4x validation. No new major bugs were introduced; existing tests continue to validate the Navi4x path within nightly CI. Alignment with ROCm CI standards was maintained.
October 2024
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Quality Metrics
Correctness89.8%
Maintainability89.4%
Architecture87.8%
Performance82.8%
AI Usage22.8%
Skills & Technologies
Programming Languages
BashCC++CMakeDockerfileGroovyMLIRPythonShellTOML
Technical Skills
BenchmarkingBuild AutomationBuild System ConfigurationBuild SystemsC++C++ programmingCI/CDCode FormattingCode GenerationCode MaintenanceCode RefactoringCode StyleCommand-line ToolsCompiler DesignCompiler Development
Repositories Contributed To
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