The NVIDIA Open GPU Kernel Modules project, which provides open-source Linux GPU kernel modules for NVIDIA GPUs, has encountered a critical bug affecting multiple RTX 4500 GPUs, as reported in Issue #694.
Recent issues and pull requests indicate a focus on addressing stability and compatibility challenges. Notable issues include assertion errors with multiple GPUs (#694), performance degradation with GSP firmware (#693), and power management problems in hybrid graphics systems. These issues highlight ongoing struggles with driver stability and hardware compatibility.
Russell Chou (russellcnv)
Gaurav Juvekar (gauravjuvekar)
Bernhard Stöckner (niv)
Milos Tijanic (mtijanic)
The team is actively working on bug fixes and enhancements, particularly in the nvidia-drm subsystem, with collaboration evident among members.
The project faces significant challenges in maintaining stable performance across diverse hardware setups, necessitating focused efforts on power management and compatibility improvements.
Developer | Avatar | Branches | PRs | Commits | Files | Changes |
---|---|---|---|---|---|---|
Gaurav Juvekar | 1 | 0/0/0 | 1 | 40 | 91245 | |
Bernhard Stöckner | 1 | 0/0/0 | 1 | 66 | 1453 | |
Russell Chou | 1 | 0/0/0 | 1 | 6 | 30 | |
None (hema203) | 0 | 2/0/1 | 0 | 0 | 0 | |
Leigh Scott (leigh123linux) | 0 | 1/0/0 | 0 | 0 | 0 |
PRs: created by that dev and opened/merged/closed-unmerged during the period
Timespan | Opened | Closed | Comments | Labeled | Milestones |
---|---|---|---|---|---|
7 Days | 2 | 0 | 3 | 0 | 1 |
30 Days | 6 | 7 | 8 | 0 | 1 |
90 Days | 26 | 15 | 53 | 0 | 1 |
1 Year | 74 | 52 | 294 | 0 | 1 |
All Time | 331 | 203 | - | - | - |
Like all software activity quantification, these numbers are imperfect but sometimes useful. Comments, Labels, and Milestones refer to those issues opened in the timespan in question.
The NVIDIA Open GPU Kernel Modules project has seen a steady influx of issues, with a total of 128 open issues currently. Recent activity indicates ongoing challenges related to driver stability, performance, and compatibility with various Linux distributions and hardware configurations. Notably, several users report critical bugs such as failures to resume from sleep, high power consumption at idle, and issues with external display support.
A recurring theme among the issues is the interaction between the open-source drivers and specific hardware setups, particularly those involving hybrid graphics systems (NVIDIA and integrated graphics). Users have also highlighted problems with power management features, such as Dynamic Boost not functioning correctly on AMD CPUs and inconsistent behavior when waking from suspend.
Issue #694: nvidia-open-560.28.03 gives assertion error in dmesg with 10 RTX 4500 GPUs
Issue #693: Animations after idling are noticeably choppy until GPU ramps up with GSP firmware enabled
Issue #688: gpuHandleSanityCheckRegReadError_GM107: Possible bad register read
Issue #662: Suspend sometimes causes a crash when using the open 555.52.04 drivers
Issue #650: Low fps on external monitor connected to nvidia hdmi port
Issue #694
Issue #693
Issue #688
Issue #662
Issue #650
The assertion error in Issue #694 suggests a critical bug affecting multiple GPUs, which could impact users relying on these drivers for high-performance computing tasks.
The choppy animations reported in Issue #693 indicate potential performance degradation linked to power management features, particularly when transitioning between idle and active states.
Issue #688 highlights a possible bad register read that could lead to instability or crashes during operation, which is concerning for users operating in environments where reliability is paramount.
The crash upon suspend in Issue #662 reflects ongoing challenges with power management in the open-source driver context, particularly in hybrid graphics setups.
The low FPS issue on external monitors (Issue #650) points to potential limitations in how the open-source drivers handle multi-monitor configurations compared to proprietary solutions.
The common thread across these issues is the struggle for stable performance and compatibility across diverse hardware setups, particularly with newer kernels and graphics technologies like GSP firmware.
The current state of open issues within the NVIDIA Open GPU Kernel Modules repository reflects significant challenges that users face when utilizing these drivers in various environments. The focus on power management, performance optimization, and compatibility with hybrid systems will be crucial for future updates and improvements to this project.
The dataset contains a total of 41 open pull requests (PRs) from the NVIDIA Open GPU Kernel Modules repository, with various contributions ranging from bug fixes to feature implementations. The PRs reflect ongoing development efforts, including enhancements for compatibility with newer kernels and improvements to existing functionalities.
PR #692: Fix 6.11 drm_fbdev_generic.h rename to drm_fbdev_ttm.h
PR #686: Create devcontainer.json
PR #670: nvidia: bugfix when access remote vma
PR #658: Patches for testing r555 stutter issues
PR #657: GPU/FIFO: avoid possible invalid memory accesses
PR #656: Fix potential race condition in _rmapiRmControl
PR #655: Fix kernel memory leak in pNotifShare
PR #647: nvswitch_get_link_handlers: initialize ->read_discovery_token method by default
PR #630: Log an error message when nv_mem_client_init() fails due to missing IB peer memory symbols.
PR #614: Fix NV2080_CTRL_CMD_GPU_GET_PID_INFO don't work correctly in container.
11-41. Additional PRs cover various topics including README updates, bug fixes, feature enhancements, and code refactoring efforts.
The current set of open pull requests reflects a robust and active development environment within the NVIDIA open-source GPU kernel modules project. Several themes emerge from the analysis:
A significant number of PRs focus on bug fixes, particularly those addressing memory management issues (e.g., PRs #655 and #657) and race conditions (e.g., PR #656). These types of fixes are critical for maintaining system stability and performance, especially given the complexities involved in GPU driver interactions with the Linux kernel.
Several PRs aim to enhance compatibility with newer kernel versions or specific configurations (e.g., PRs #670 and #614). This indicates an ongoing commitment from contributors to ensure that the drivers remain functional across various Linux distributions and kernel updates, which is essential for user adoption and satisfaction.
The presence of draft PRs like #658 suggests an active engagement with the community for testing and feedback before formal integration into the codebase. This collaborative approach is beneficial as it allows for real-world testing scenarios that can uncover issues not identified during initial development phases.
There are multiple PRs aimed at improving documentation (e.g., PRs #495 and #686), which are crucial for user onboarding and effective usage of the modules. Clear documentation helps reduce barriers for new users and enhances overall project accessibility.
Despite the positive aspects, there are concerns regarding the volume of open pull requests (41), which may indicate potential bottlenecks in review processes or resource allocation within the project team. Additionally, some PRs have been open for extended periods without merging or closure, which could lead to fragmentation of efforts if not addressed promptly.
In conclusion, while the NVIDIA open GPU kernel modules project demonstrates strong community involvement and ongoing development efforts, attention should be given to managing pull request backlogs effectively to maintain momentum and ensure timely integration of valuable contributions into the main codebase.
Gaurav Juvekar (gauravjuvekar)
Russell Chou (russellcnv)
Bernhard Stöckner (niv)
Milos Tijanic (mtijanic)
The development team for the NVIDIA Open GPU Kernel Modules is actively engaged in enhancing the codebase with a focus on bug fixes and feature improvements. Collaboration among team members is evident, contributing to a robust development environment aimed at maintaining and advancing NVIDIA's open-source GPU drivers.