ROCm/rocprofiler-compute
Jan 2025 – Aug 2025
8 Months active
Languages Used
DockerfileMarkdownPythonYAMLCMakeShellC++HIP
Technical Skills
CI/CDCode RefactoringDebuggingDockerDocumentationGitHub Actions
vedithal-amd
PROFILE
Vedithal-amd
Vignesh Edithal contributed to the ROCm/rocprofiler-compute repository by developing profiling infrastructure and tooling that enhanced GPU performance analysis and cross-architecture support. Over eight months, he delivered features such as Docker-based testing environments, standalone profiler binaries, and automated CI workflows, using Python, CMake, and YAML for robust configuration and scripting. His work included integrating the ROC Profiler SDK, expanding hardware coverage to MI350, and refining metric documentation for accuracy. By addressing test reliability and automating code review processes, Vignesh improved developer productivity and profiling accuracy, demonstrating depth in system integration, build automation, and performance monitoring across evolving GPU architectures.
Overall Statistics
Feature vs Bugs
62%Features
Repository Contributions
63Total
Bugs
13
Commits
63
Features
21
Lines of code
138,261
Activity Months8
Your Network
1295 people
Work History
August 2025
5 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 - ROCm/rocprofiler-compute: Key features delivered include Metrics Documentation Improvements (refactoring and corrections in metrics_description.yaml with duplicates removed) and L2 Cache Bandwidth Metrics Update for MI350 to accurately reflect read/write/atomic data movement across memory interfaces. Major bugs fixed include Test Reliability Improvements for Autogen Config Tests (making tests robust via content-hash validation of autogenerated configuration files). Overall impact: improved metric accuracy and clarity, better visibility into MI350 memory behavior, and more stable CI/tests, enabling faster performance tuning and benchmarking with higher user confidence. Technologies/skills demonstrated: YAML-based documentation and metric definitions, profiling metrics validation, MI350 memory subsystem awareness, automated test hardening via content-hash validation, and strong commit traceability.
5 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 - ROCm/rocprofiler-compute: Key features delivered include Metrics Documentation Improvements (refactoring and corrections in metrics_description.yaml with duplicates removed) and L2 Cache Bandwidth Metrics Update for MI350 to accurately reflect read/write/atomic data movement across memory interfaces. Major bugs fixed include Test Reliability Improvements for Autogen Config Tests (making tests robust via content-hash validation of autogenerated configuration files). Overall impact: improved metric accuracy and clarity, better visibility into MI350 memory behavior, and more stable CI/tests, enabling faster performance tuning and benchmarking with higher user confidence. Technologies/skills demonstrated: YAML-based documentation and metric definitions, profiling metrics validation, MI350 memory subsystem awareness, automated test hardening via content-hash validation, and strong commit traceability.
August 2025
July 2025
19 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for ROCm/rocprofiler-compute focusing on delivering measurable business value through feature enhancements, stability improvements, and architecture-wide metric standardization.
July 2025
19 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for ROCm/rocprofiler-compute focusing on delivering measurable business value through feature enhancements, stability improvements, and architecture-wide metric standardization.
June 2025
13 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for ROCm/rocprofiler-compute: Delivered enhancements in testing infrastructure, profiler tooling, hardware support, and codebase maintenance. A robust test environment was established with SQLite support inside test containers, docker-compose-based testing, and isolated testing environments, complemented by detailed logging for debugging. Rocprofiler tooling and SDK integration were upgraded to rocprofv3 by default with expanded hardware support (MI200/MI100/MI350) and improved counter collection across architectures (including SPI and gfx950). The work also included targeted bug fixes to improve stability of profiling across devices and the removal of obsolete components with deprecation warnings to guide users through planned removals. These changes improve testing reliability, cross-hardware profiling accuracy, and long-term maintainability, delivering faster time-to-value for performance analysis and optimization.
13 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for ROCm/rocprofiler-compute: Delivered enhancements in testing infrastructure, profiler tooling, hardware support, and codebase maintenance. A robust test environment was established with SQLite support inside test containers, docker-compose-based testing, and isolated testing environments, complemented by detailed logging for debugging. Rocprofiler tooling and SDK integration were upgraded to rocprofv3 by default with expanded hardware support (MI200/MI100/MI350) and improved counter collection across architectures (including SPI and gfx950). The work also included targeted bug fixes to improve stability of profiling across devices and the removal of obsolete components with deprecation warnings to guide users through planned removals. These changes improve testing reliability, cross-hardware profiling accuracy, and long-term maintainability, delivering faster time-to-value for performance analysis and optimization.
June 2025
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 ROCm/rocprofiler-compute monthly summary focusing on reliability, cross-architecture support, and developer experience. Key features delivered include ROC Profiler SDK integration and CODEOWNERS automation. Major bugs fixed include PC Sampling configuration across multiple architectures and test suite stability improvements. Overall impact: improved reliability across architectures, smoother SDK integration, and streamlined PR workflows. Technologies/skills demonstrated include cross-architecture config handling, SDK integration, environment variable management, test harness hardening, and GitHub CODEOWNERS automation with changelog maintenance.
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 ROCm/rocprofiler-compute monthly summary focusing on reliability, cross-architecture support, and developer experience. Key features delivered include ROC Profiler SDK integration and CODEOWNERS automation. Major bugs fixed include PC Sampling configuration across multiple architectures and test suite stability improvements. Overall impact: improved reliability across architectures, smoother SDK integration, and streamlined PR workflows. Technologies/skills demonstrated include cross-architecture config handling, SDK integration, environment variable management, test harness hardening, and GitHub CODEOWNERS automation with changelog maintenance.
April 2025
2 Commits • 2 Features
Apr 1, 2025For 2025-04, focused on advancing CI automation and profiling capabilities for ROCm/rocprofiler-compute. Key outcomes include (1) automated weekly rebase workflow for liangdin-test onto amd-mainline, reducing manual maintenance and keeping test branches aligned with mainline; (2) MI350 GPU profiling support and analytics readiness, including MI350 hardware information, refactored YAML interfaces, gfx950 SoC files, and test-ready analysis/report configurations; (3) CI/test infrastructure enhancements leveraging GitHub Actions and GitHub App token authentication to improve reliability and security; and (4) groundwork for analytics/configuration to support ongoing profiling metrics. Major bugs fixed: none reported this month. Overall impact: stabilized mainline testing, accelerated validation cycles, and extended profiling coverage to MI350 hardware, enabling more reliable performance analysis and faster feedback to developers. Technologies/skills demonstrated: GitHub Actions automation, CI/CD pipelines, GitHub App authentication, YAML refactor, SoC gfx950 integration, and MI350 profiling instrumentation.
2 Commits • 2 Features
Apr 1, 2025For 2025-04, focused on advancing CI automation and profiling capabilities for ROCm/rocprofiler-compute. Key outcomes include (1) automated weekly rebase workflow for liangdin-test onto amd-mainline, reducing manual maintenance and keeping test branches aligned with mainline; (2) MI350 GPU profiling support and analytics readiness, including MI350 hardware information, refactored YAML interfaces, gfx950 SoC files, and test-ready analysis/report configurations; (3) CI/test infrastructure enhancements leveraging GitHub Actions and GitHub App token authentication to improve reliability and security; and (4) groundwork for analytics/configuration to support ongoing profiling metrics. Major bugs fixed: none reported this month. Overall impact: stabilized mainline testing, accelerated validation cycles, and extended profiling coverage to MI350 hardware, enabling more reliable performance analysis and faster feedback to developers. Technologies/skills demonstrated: GitHub Actions automation, CI/CD pipelines, GitHub App authentication, YAML refactor, SoC gfx950 integration, and MI350 profiling instrumentation.
April 2025
March 2025
11 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for ROCm/rocprofiler-compute focusing on business value and technical achievements. Delivered reliability and usability enhancements for standalone GUI usage, improved build safety for Nuitka-generated binaries, advanced profiling capabilities with block-based filtering and robust input parsing, modernized counter detection, and targeted test/CI improvements. These changes enhanced deployment readiness, profiling accuracy, and developer workflow, driving faster insights and more robust performance analysis across supported GPUs.
March 2025
11 Commits • 4 Features
Mar 1, 2025March 2025 monthly summary for ROCm/rocprofiler-compute focusing on business value and technical achievements. Delivered reliability and usability enhancements for standalone GUI usage, improved build safety for Nuitka-generated binaries, advanced profiling capabilities with block-based filtering and robust input parsing, modernized counter detection, and targeted test/CI improvements. These changes enhanced deployment readiness, profiling accuracy, and developer workflow, driving faster insights and more robust performance analysis across supported GPUs.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 ROCm/rocprofiler-compute monthly update: delivered standalone ROCm Compute Profiler binary build support, fixed critical clock reporting and executable-path validation issues, improved build robustness for missing VERSION.sha, and enhanced RHEL-8 CI metadata caching. These changes increase reliability of performance analysis, enable standalone usage, and strengthen CI stability across architectures, delivering business value through more accurate metrics, reproducible builds, and faster verification.
5 Commits • 2 Features
Feb 1, 2025February 2025 ROCm/rocprofiler-compute monthly update: delivered standalone ROCm Compute Profiler binary build support, fixed critical clock reporting and executable-path validation issues, improved build robustness for missing VERSION.sha, and enhanced RHEL-8 CI metadata caching. These changes increase reliability of performance analysis, enable standalone usage, and strengthen CI stability across architectures, delivering business value through more accurate metrics, reproducible builds, and faster verification.
February 2025
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for ROCm/rocprofiler-compute: Delivered testing infrastructure improvements and workflow automation, plus targeted fixes that improve analysis accuracy and staging throughput.
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for ROCm/rocprofiler-compute: Delivered testing infrastructure improvements and workflow automation, plus targeted fixes that improve analysis accuracy and staging throughput.
Activity
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Quality Metrics
Correctness86.0%
Maintainability87.0%
Architecture82.0%
Performance75.8%
AI Usage20.6%
Skills & Technologies
Programming Languages
C++CMakeDockerfileHIPMarkdownPythonShellYAMLrereStructuredText
Technical Skills
API IntegrationArgument ParsingBug FixBug FixesBug FixingBuild AutomationBuild SystemBuild System ConfigurationBuild SystemsCI/CDCLICLI ToolingCMakeCode RefactoringCode Review Management
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