ROCm/rocm-systems
Sep 2025 – Mar 2026
7 Months active
Languages Used
CMakeDockerfileMarkdownPythonShellTOMLC++YAML
Technical Skills
CI/CDCMakeCode RefactoringCommand-line Interface (CLI)DockerDocumentation
abchoudh-amd
PROFILE
Abchoudh-amd
Abhishek Choudhury contributed to the ROCm/rocm-systems repository by engineering profiling and testing enhancements for GPU workloads. He developed features such as multi-rank profiling for MPI-based applications, modularized roofline tests, and improved metric listing in command-line tools. Using Python and C++, he refactored data collection pipelines to leverage the AMD SMI Python API, streamlined CI/CD workflows with Docker and CMake, and expanded test coverage for data imputation and profiling accuracy. His work addressed reliability and usability challenges, enabling more robust performance analysis and reproducible results across distributed environments, while maintaining clear documentation and backward compatibility in evolving APIs.
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
18Total
Bugs
1
Commits
18
Features
13
Lines of code
126,934
Activity Months7
Your Network
2030 peopleSame Organization
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Work History
March 2026
5 Commits • 4 Features
Mar 1, 2026March 2026 monthly summary for ROCm/rocm-systems: Implemented robust Torch profiling enhancements, expanded test coverage for data imputation, removed hip-trace scope from rocprofiler-compute, and introduced standalone PC sampling in single-pass mode for MPI-aware workloads. These changes improve trace analysis accuracy, boost robustness, simplify profiling configuration, and enable performance analysis in distributed settings.
5 Commits • 4 Features
Mar 1, 2026March 2026 monthly summary for ROCm/rocm-systems: Implemented robust Torch profiling enhancements, expanded test coverage for data imputation, removed hip-trace scope from rocprofiler-compute, and introduced standalone PC sampling in single-pass mode for MPI-aware workloads. These changes improve trace analysis accuracy, boost robustness, simplify profiling configuration, and enable performance analysis in distributed settings.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered multi-rank profiling enhancements in ROCm Compute Profiler for MPI-based workloads, including parameterized per-MPI-rank output directories and improved MPI handling during profiling. Strengthened reliability with expanded tests, updated conftest, and documentation. Result: more accurate, scalable profiling with reproducible results across ranks; reduced CI fragility by simplifying test dependencies.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Delivered multi-rank profiling enhancements in ROCm Compute Profiler for MPI-based workloads, including parameterized per-MPI-rank output directories and improved MPI handling during profiling. Strengthened reliability with expanded tests, updated conftest, and documentation. Result: more accurate, scalable profiling with reproducible results across ranks; reduced CI fragility by simplifying test dependencies.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for ROCm/rocm-systems: Delivered the ROCm Profiler Attach/Detach API with backward compatibility, stabilizing tests and enhancing profiler usability. The changes clean up legacy paths, ensure reliable performance measurements, and reduce CI noise, setting a foundation for stable observability across ROCm deployments.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for ROCm/rocm-systems: Delivered the ROCm Profiler Attach/Detach API with backward compatibility, stabilizing tests and enhancing profiler usability. The changes clean up legacy paths, ensure reliable performance measurements, and reduce CI noise, setting a foundation for stable observability across ROCm deployments.
January 2026
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 (2025-12) - ROCm/rocm-systems profiling work delivered notable improvements in accuracy, reliability, and observability, enabling faster, data-driven performance optimizations. The team focused on refining the ROCm profiler and expanding profiling tooling while stabilizing tests. Key outcomes include enhanced profiler accuracy and iteration multiplexing capabilities, plus the introduction of a raw data dump tool to improve visibility into workloads. These efforts directly support more precise performance diagnosis and quicker iteration cycles for users and internal teams.
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 (2025-12) - ROCm/rocm-systems profiling work delivered notable improvements in accuracy, reliability, and observability, enabling faster, data-driven performance optimizations. The team focused on refining the ROCm profiler and expanding profiling tooling while stabilizing tests. Key outcomes include enhanced profiler accuracy and iteration multiplexing capabilities, plus the introduction of a raw data dump tool to improve visibility into workloads. These efforts directly support more precise performance diagnosis and quicker iteration cycles for users and internal teams.
November 2025
3 Commits • 3 Features
Nov 1, 2025November 2025 monthly summary for ROCm/rocm-systems: Delivered modularization and data handling improvements for roofline tests, enabling clearer results and more robust coverage across platforms; added iteration multiplexing to rocprof-compute to support multi-file profiling and optimized counter collection during kernel execution; introduced a CU Utilization metric, deprecating Active CUs, with updated configuration and documentation; maintained data integrity and quality through test fixes and changelog updates. This work enhances reliability of performance insights, scales profiling workflows, and aligns metrics with current user needs.
3 Commits • 3 Features
Nov 1, 2025November 2025 monthly summary for ROCm/rocm-systems: Delivered modularization and data handling improvements for roofline tests, enabling clearer results and more robust coverage across platforms; added iteration multiplexing to rocprof-compute to support multi-file profiling and optimized counter collection during kernel execution; introduced a CU Utilization metric, deprecating Active CUs, with updated configuration and documentation; maintained data integrity and quality through test fixes and changelog updates. This work enhances reliability of performance insights, scales profiling workflows, and aligns metrics with current user needs.
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for ROCm/rocm-systems: Focused on improving GPU specification retrieval for rocprofiler-compute by switching to the AMD SMI Python API. This change eliminates CLI dependencies, resulting in faster, more robust, and maintainable GPU data collection (model, memory clock, partition info). Implemented an amdsmi interface, added tests, and updated documentation. The work reduces runtime overhead in profiling pipelines, enhances CI reliability, and simplifies onboarding for new contributors.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for ROCm/rocm-systems: Focused on improving GPU specification retrieval for rocprofiler-compute by switching to the AMD SMI Python API. This change eliminates CLI dependencies, resulting in faster, more robust, and maintainable GPU data collection (model, memory clock, partition info). Implemented an amdsmi interface, added tests, and updated documentation. The work reduces runtime overhead in profiling pipelines, enhances CI reliability, and simplifies onboarding for new contributors.
September 2025
4 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — ROCm/rocm-systems Concise monthly summary highlighting key accomplishments, major fixes, and impact for September 2025. Key features delivered: - ROCprof-compute: Improved metric listing UX with --list-available-metrics and safer option parsing. Refactors moved --list-metrics to general options, introduced --list-available-metrics, and improved argument sanitization to prevent conflicts with block filtering. Enables listing metrics for the current architecture and explicitly shows L2 Cache (per-channel) metrics. This work reduces user confusion and prevents misconfigurations in metric queries. Commits: 682ae2d01466b3c3879129f935515ab085eb939c. Major bugs fixed / CI stability improvements: - Testing and CI infrastructure improvements to stabilize tests and Docker setup. Split tests to improve CI reliability and align Docker/README with ROCm build images and path handling. Commits: 7d847dde3f473339daab4996ce948a2736475c8d. - Fix test failures and resilience: Added path-not-exists checks and targeted test adjustments to reduce flakiness. Commits: a927f246f60688392c5685cb60c06159174813e4. - Additional test and docker instruction updates to ensure consistent test execution in Docker environments. Commits: f45c8d5f6b0f6042f83a7c4bc7c53d68c41cbf66. Overall impact and accomplishments: - Significantly improved developer experience and product reliability by making metric listing more intuitive and robust, reducing misconfigurations. The CI stability improvements reduce flaky test runs and shorten feedback cycles for contributors. This aligns ROCm/rocm-systems with current ROCm build images and improves reproducibility of test results across environments. Technologies/skills demonstrated: - Command-line tooling design, argument parsing safety, and cross-architecture metric support. - Docker-based CI improvements, test infrastructure hardening, and path handling. - Code refactoring for usability, plus documentation updates to reflect new CLI behavior.
4 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — ROCm/rocm-systems Concise monthly summary highlighting key accomplishments, major fixes, and impact for September 2025. Key features delivered: - ROCprof-compute: Improved metric listing UX with --list-available-metrics and safer option parsing. Refactors moved --list-metrics to general options, introduced --list-available-metrics, and improved argument sanitization to prevent conflicts with block filtering. Enables listing metrics for the current architecture and explicitly shows L2 Cache (per-channel) metrics. This work reduces user confusion and prevents misconfigurations in metric queries. Commits: 682ae2d01466b3c3879129f935515ab085eb939c. Major bugs fixed / CI stability improvements: - Testing and CI infrastructure improvements to stabilize tests and Docker setup. Split tests to improve CI reliability and align Docker/README with ROCm build images and path handling. Commits: 7d847dde3f473339daab4996ce948a2736475c8d. - Fix test failures and resilience: Added path-not-exists checks and targeted test adjustments to reduce flakiness. Commits: a927f246f60688392c5685cb60c06159174813e4. - Additional test and docker instruction updates to ensure consistent test execution in Docker environments. Commits: f45c8d5f6b0f6042f83a7c4bc7c53d68c41cbf66. Overall impact and accomplishments: - Significantly improved developer experience and product reliability by making metric listing more intuitive and robust, reducing misconfigurations. The CI stability improvements reduce flaky test runs and shorten feedback cycles for contributors. This aligns ROCm/rocm-systems with current ROCm build images and improves reproducibility of test results across environments. Technologies/skills demonstrated: - Command-line tooling design, argument parsing safety, and cross-architecture metric support. - Docker-based CI improvements, test infrastructure hardening, and path handling. - Code refactoring for usability, plus documentation updates to reflect new CLI behavior.
September 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability82.2%
Architecture81.2%
Performance78.8%
AI Usage32.2%
Skills & Technologies
Programming Languages
C++CMakeDockerfileHIPMarkdownPythonShellTOMLYAML
Technical Skills
API DevelopmentAPI IntegrationC++C++ DevelopmentCI/CDCMakeCode RefactoringCommand-line Interface (CLI)DockerDocumentationGPU ComputingGPU ProgrammingMPIMachine LearningPerformance Profiling
Repositories Contributed To
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