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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>
14 lines
435 B
INI
14 lines
435 B
INI
;
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; Features of GPU drivers.
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;
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; This file defines the features that are valid for inclusion in
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; the other driver files and also the order that they appear in
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; the features table in the documentation. The feature description
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; string should not exceed feature_str_len defined in conf.py.
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;
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[Features]
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Get device info =
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Share CPU memory with device =
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Allocate device memory =
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Free memory =
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