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2024-03-18build: add option to specify supported OS list for pluginDamjan Marion1-0/+2
Type: improvement Change-Id: I0d6f11d5ece19c5e0e00dfdadc9d4c09274ae8e1 Signed-off-by: Damjan Marion <damarion@cisco.com>
2023-03-15dma_intel: fix potential invalid batch statusMarvin Liu1-5/+6
DMA batch status was set by hardware. Its value may be variable between cpus twice accesses. Saving the value of status can fix it. Type: fix Signed-off-by: Marvin Liu <yong.liu@intel.com> Change-Id: Ibc9337239555744a571685b486c986991c3e9b18
2023-03-14vlib: pre-alloc dma backend batchesMarvin Liu1-0/+27
Allocate and initialize dma batch structure when adding dma config. The number of required dma batches is set by max_batches parameter. Thus dma batches are not allocated dynamically in worker thread. Application need to check the return value of vlib_dma_batch_new. Type: improvement Signed-off-by: Marvin Liu <yong.liu@intel.com> Change-Id: I5d05a67b59634cf2862a377d5ab77cb1040343ce
2022-08-30dma_intel: fix the wrong unformat typeHaiyue Wang1-1/+1
The unformat type for "%d" should be u32 or int, otherwise the 'did' in high stack address will be overflow to zero by the 'qid' which is in the low stack address. Like input "dev wq3.2" will return "did=0, qid=2". Type: fix Signed-off-by: Haiyue Wang <haiyue.wang@intel.com> Change-Id: I0fe1d5b03e2c47e0a7925193e2c2f1ccc31d3e90
2022-08-25vlib: introduce DMA infrastructureMarvin Liu5-0/+880
This patch introduces DMA infrastructure into vlib. This is well known that large amount of memory movements will drain core resource. Nowadays more and more hardware accelerators were designed out for freeing core from this burden. Meanwhile some restrictions still remained when utilizing hardware accelerators, e.g. cross numa throughput will have a significant drop compared to same node. Normally the number of hardware accelerator instances will less than cores number, not to mention that applications number will even beyond the number of cores. Some hardware may support share virtual address with cores, while others are not. Here we introduce new DMA infrastructure which can fulfill the requirements of vpp applications like session and memif and in the meantime dealing with hardware limitations. Here is some design backgrounds: Backend is the abstract of resource which allocated from DMA device and can do some basic operations like configuration, DMA copy and result query. Config is the abstract of application DMA requirement. Application need to request an unique config index from DMA infrastructure. This unique config index is associated with backend resource. Two options cpu fallback and barrier before last can be specified in config. DMA transfer will be performed by CPU when backend is busy if cpu fallback option is enabled. DMA transfer callback will be in order if barrier before last option is enabled. We constructs all the stuffs that DMA transfer request needed into DMA batch. It contains the pattern of DMA descriptors and function pointers for submission and callback. One DMA transfer request need multiple times batch update and one time batch submission. DMA backends will assigned to config's workers threads equally. Lock will be used for thread-safety if same backends assigned to multiple threads. Backend node will check all the pending requests in worker thread and do callback with the pointer of DMA batch if transfer completed. Application can utilize cookie in DMA batch for selves usage. DMA architecture: +----------+ +----------+ +----------+ +----------+ | Config1 | | Config2 | | Config1 | | Config2 | +----------+ +----------+ +----------+ +----------+ || || || || +-------------------------+ +-------------------------+ | DMA polling thread A | | DMA polling thread B | +-------------------------+ +-------------------------+ || || +----------+ +----------+ | Backend1 | | Backend2 | +----------+ +----------+ Type: feature Signed-off-by: Marvin Liu <yong.liu@intel.com> Change-Id: I1725e0c26687985aac29618c9abe4f5e0de08ebf