ssmem | simple object-based memory allocator

by LPD-EPFL C Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ssmem Summary

ssmem is a C library. ssmem has no bugs, it has no vulnerabilities and it has low support. However ssmem has a Non-SPDX License. You can download it from GitHub.

To use ssmem you need to include ssmem.h and link with -lssmem. ssmem.h contains the interface of ssmem. In short, you can: * ssmem_alloc_init, or ssmem_alloc_init_fs_size to initialize and allocator * ssmem_term to terminate ssmem * ssmem_alloc to allocate memory * ssmem_free to free memory (when it is safe, within the allocator) * ssmem_release to free memory (when it is safe, to the system — with free). Refer to ssmem.h for more details and operations.

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Quality

Security

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Support

ssmem has a low active ecosystem.

It has 29 star(s) with 10 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

ssmem has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ssmem is current.

Quality

ssmem has 0 bugs and 0 code smells.

Security

ssmem has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ssmem code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ssmem has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ssmem releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

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ssmem Key Features

No Key Features are available at this moment for ssmem.

ssmem Examples and Code Snippets

No Code Snippets are available at this moment for ssmem.

Community Discussions

Trending Discussions on ssmem

How to interpret the number shown in the square brackets?

QUESTION

How to interpret the number shown in the square brackets?

Asked 2018-Aug-17 at 22:22

The number shown in the square brackets after the kernel name correlates to the CUDA API that launched that kernel. (from GPU-Trace and API-Trace Modes)

The number shown in the square brackets after the kernel name are

94,
105,
2191,
2198.

So what exactly is CUDA API [94](and other) in NVIDIA CUDA Runtime API?

...

ANSWER

Answered 2018-Aug-17 at 22:22

It might be clearer if it said:

The number shown in the square brackets after the kernel name correlates to the CUDA API call that launched that kernel.

If you run a given code using the --print-api-trace option, you'll get a sequential list of all the CUDA API calls issued by that application. If you were to number those in order, the number associated with a particular kernel launch would be shown in the square brackets in the --print-gpu-trace output.

Here is a fully-worked example. Note the correlation between [105], [106], and [108] in the api-trace output and in the gpu-trace output:

Source https://stackoverflow.com/questions/51886311

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ssmem

Execute make in the ssmem base folder. This should compile libssmem.a and ssmem_test. ssmem_test contains a few tests for verifying the correctness and testing the performance of ssmem. Execute: ssmem_test -h for the available options. If you want to customize the installation of ssmem, you can add a custom configuration for a platform in the Makefile. You can also compile with make VERSION=DEBUG to generate a debug build of ssmem.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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