Cuctxcreate failed relationship

Rendering Smoke on GPU causes: CUDA error cuCtxCreate: Launch failed - Blender Stack Exchange

Updated the maximum ulp error for erfc() from 5 to 4 in Table C created with cuCtxCreate(), it is made current to the calling host thread. threads can reside on the multiprocessor (see Section for the relationship. if (rc!= CUDA_SUCCESS). elog(ERROR, "failed on cuCtxCreate: %s", It loads a chunk from the target relation, then enqueue the GpuScan. * chunk to be . cuCtxCreate. already disabled. Global cudaErrorApiFailureBase This error return is deprecated as of CUDA There exists a one to one relationship between CUDA devices in the CUDA Runtime API and CUcontext s in the.

You can create a new session by selecting the Profile An Application link on the Welcome page, or by selecting New Session from the File menu.

In the Create New Session dialog enter the executable for your application. Optionally, you can also specify the working directory, arguments, multi-process profiling option and environment. The muti-process profiling options are: Profile child processes - If selected, profile all processes launched by the specified application.

Profile all processes - If selected, profile every CUDA process launched on the same system by the same user who launched. In this mode the will launch and user needs to run his application in another terminal outside the. User can exit this mode by pressing "Cancel" button on progress dialog in Visual Profiler to load the profile data Profile current process only - If selected, only profile specified application.

Press Next to choose some additional profiling options. Start execution with profiling enabled - If selected profile data is collected from the start of application execution. If not selected profile data is not collected until cudaProfilerStart is called in the application. See Focused Profiling for more information about cudaProfilerStart.

Enable concurrent kernel profiling - This option should be selected for an application that uses CUDA streams to launch kernels that can execute concurrently. If the application uses only a single stream and therefore cannot have concurrent kernel executiondeselecting this option may decrease profiling overhead. Enable power, clock, and thermal profiling - If selected, power, clock, and thermal conditions on the GPUs will be sampled and displayed on the timeline.

Collection of this data is not supported on all GPUs. See the description of the Device timeline in Timeline View for more information. Enable unified memory profiling - If selected for the GPU that supports Unified Memory, the Unified Memory related memory traffic to and from each GPU is collected on your system and displayed on timeline. Run guided analysis - If selected, the guided analysis is run immediately after the creation of a new session.

Uncheck this option to disable this behavior. Collection of this data is only supported on Linux and PGI This currently includes the Pthread API, mutexes and condition variables. For performance reasons, only those API calls that influence concurrent execution are recorded and collection of this data is not supported on Windows.

See the description of the thread timeline in Timeline View for more information. Load data for time range - If selected the start and end time stamps for the range of data to be loaded can be specified.

This option is useful to select a subset of a large data. Enable timelines in the session - By default all timelines are enabled. If a timeline is un-checked, the data associated with that timeline will not be loaded and it will not be displayed.

If some timelines are disabled by un-checking the option the analyses results which use this timeline data will be incorrect. Analyzing Your Application If the Don't run guided analysis option was not selected when you created your session, the will immediately run your application to collect the data needed for the first stage of guided analysis. As described in the Analysis View section, you can use the guided analysis system to get recommendations on performance limiting behavior in your application.

Exploring the Timeline In addition to the guided analysis results, you will see a timeline for your application showing the CPU and GPU activity that occurred as your application executed. For performance reasons, only those API calls that influence concurrent execution are recorded and collection of this data is not supported on Windows.

See the description of the thread timeline in Timeline View for more information. Load data for time range - If selected the start and end time stamps for the range of data to be loaded can be specified.

This option is useful to select a subset of a large data. Enable timelines in the session - By default all timelines are enabled. If a timeline is un-checked, the data associated with that timeline will not be loaded and it will not be displayed. If some timelines are disabled by un-checking the option the analyses results which use this timeline data will be incorrect.

Analyzing Your Application If the Don't run guided analysis option was not selected when you created your session, the Visual Profiler will immediately run your application to collect the data needed for the first stage of guided analysis. As described in the Analysis View section, you can use the guided analysis system to get recommendations on performance limiting behavior in your application.

Exploring the Timeline In addition to the guided analysis results, you will see a timeline for your application showing the CPU and GPU activity that occurred as your application executed.

Read Timeline View and Properties View to learn how to explore the profiling information that is available in the timeline. Navigating the Timeline describes how you can zoom and scroll the timeline to focus on specific areas of your application. Looking at the Details In addition to the results provided in the Analysis Viewyou can also look at the specific metric and event values collected as part of the analysis.

You can collect specific metric and event values that reveal how the kernels in your application are behaving.

Profiler :: CUDA Toolkit Documentation

Improve Loading of Large Profiles Some applications launch many tiny kernels, making them prone to very large s of megabytes or larger output, even for application runs of only a few seconds. The Java virtual machine may use a fraction of the main memory if no "max heap size" setting is specified.

Why Modern Relationships Fail - The View

So depending on the size of main memory, the Visual Profiler may fail to load some large files. If the Visual Profiler fails to load a large profile, try setting the max heap size that JVM is allowed to use according to main memory size.

The -Xmx setting should be tailored to the available system memory and input size. For example, if your system has 24GB of system memory, and you happen to know that you won't need to run any other memory-intensive applications at the same time as the Visual Profiler, so it's okay for the profiler to take up the vast majority of that space. So you might pick, say, 22GB as the maximum heap size, leaving a few gigabytes for the OS, GUI, and any other programs that might be running.

Some other configuration settings can also be modified: Increase the default heap size the one Java automatically starts up with to, say, 2GB. The modified file as per examples given above is as follows: In addition to this you can use timeline options Load data for time range and Enable timelines in the session mentioned in the Creating a Session section to limit the data which is loaded and displayed.

Sessions A session contains the settings, data, and profiling results associated with your application. Each session is saved in a separate file; so you can delete, move, copy, or share a session by simply deleting, moving, copying, or sharing the session file. By convention, the file extension. There are two types of sessions: Executable Session You can create a new executable session for your application by selecting the Profile An Application link on the Welcome page, or by selecting New Session from the File menu.

Once a session is created, you can edit the session's settings as described in the Settings View. You can open and save existing sessions using the open and save options in the File menu. To analyze your application and to collect metric and event values, the Visual Profiler will execute your application multiple times.