On 2021-10-09 03:53, eagost...@nvidia.com wrote:
From: Elena Agostini
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 featur
From: Elena Agostini
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 all
09/10/2021 03:53, eagost...@nvidia.com:
> --- a/lib/gpudev/version.map
> +++ b/lib/gpudev/version.map
> + rte_gpu_free;
> rte_gpu_info_get;
> rte_gpu_init;
> rte_gpu_is_valid;
> + rte_gpu_malloc;
> + rte_gpu_register;
> + rte_gpu_unregister;
> };
Should we insert
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