e818c4e2bf
In heterogeneous computing system, processing is not only in the CPU. Some tasks can be delegated to devices working in parallel. Such workload distribution can be achieved by sharing some memory. As a first step, the features are focused on memory management. A function allows to allocate memory inside the device, or in the main (CPU) memory while making it visible for the device. This memory may be used to save packets or for synchronization data. The next step should focus on GPU processing task control. Signed-off-by: Elena Agostini <eagostini@nvidia.com> Signed-off-by: Thomas Monjalon <thomas@monjalon.net> |
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| .ci | ||
| .github/workflows | ||
| app | ||
| buildtools | ||
| config | ||
| devtools | ||
| doc | ||
| drivers | ||
| examples | ||
| kernel | ||
| lib | ||
| license | ||
| usertools | ||
| .editorconfig | ||
| .gitattributes | ||
| .gitignore | ||
| .travis.yml | ||
| ABI_VERSION | ||
| MAINTAINERS | ||
| Makefile | ||
| meson_options.txt | ||
| meson.build | ||
| README | ||
| VERSION | ||
DPDK is a set of libraries and drivers for fast packet processing. It supports many processor architectures and both FreeBSD and Linux. The DPDK uses the Open Source BSD-3-Clause license for the core libraries and drivers. The kernel components are GPL-2.0 licensed. Please check the doc directory for release notes, API documentation, and sample application information. For questions and usage discussions, subscribe to: users@dpdk.org Report bugs and issues to the development mailing list: dev@dpdk.org