IBSet
Applicability
Product |
Supported |
|---|---|
Atlas 350 Accelerator Card |
√ |
√ |
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√ |
|
x |
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√ |
|
x |
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√ |
Function Usage
When different AI Cores operate the same global memory block, this function can be called to synchronize the AI Cores to avoid data dependency problems such as write-after-read, read-after-write, and write-after-write. IBSet is called to set the flag bit of a core. IBSet and IBWait are used in pairs to indicate the synchronization waiting instruction between cores, waiting for the completion of a core operation.
Prototype
1 2 | template <bool isAIVOnly = true> __aicore__ inline void IBSet(const GlobalTensor<int32_t>& gmWorkspace, const LocalTensor<int32_t>& ubWorkspace, int32_t blockIdx, int32_t eventID) |
Parameters
Parameter |
Description |
|---|---|
isAIVOnly |
Indicates whether the AIVOnly mode is used. The default value is true. |
Parameter |
Input/Output |
Description |
|---|---|---|
gmWorkspace |
Output |
Public buffer for storing the external core status. The type is GlobalTensor. For details about the definition of the GlobalTensor data structure, see GlobalTensor. |
ubWorkspace |
Input |
Public buffer that stores the current core status. The type is LocalTensor, and TPosition can be VECIN, VECCALC, or VECOUT. |
blockIdx |
Input |
IDX number of the waiting core. The value range is [0, Number of cores – 1]. |
eventID |
Input |
Controls the set and wait events of the current core. |
Returns
None
Constraints
- The minimum space allocated for gmWorkspace is as follows: Number of cores × 32 bytes × eventID_max + blockIdx_max × 32 bytes + 32 bytes. (eventID_max and blockIdx_max indicate the maximum values of eventID and blockIdx, respectively.)
- In AIVOnly mode, the number of cores is GetBlockNum(). In MIX mode, the number of cores is GetBlockNum() × 2.
- The minimum size of ubWorkspace is 32 bytes.
- The value of the gmWorkspace cache needs to be initialized to 0.
- When this API is used for multi-core control, the logical numBlocks specified during operator calling must be less than or equal to the number of cores for running the operator. Otherwise, the framework inserts abnormal synchronization during multi-round scheduling, causing the kernel to stop responding.
Example
In this example, two cores are used for data processing, and each core processes 256 pieces of half-type data. Core 0 implements the x+y operation and stores the result in the first half of z. Core 1 stores the computation result of core 0 in x, adds the computation result to y, and stores the result in the second half of z. Therefore, data synchronization needs to be performed between multiple cores.
// sync_gm is the public buffer for storing the external core status, and its type is GlobalTensor. sync_buf is the public buffer for storing the current core status, and its type is LocalTensor.
int32_t blockIdx = AscendC::GetBlockIdx(); // Obtain the current core.
if (blockIdx == 1) { // Set IBWait on core 1 to block instruction execution until the operation on core 0 is complete.
AscendC::IBWait(sync_gm, sync_buf, 0, 0);
}
...
if (blockIdx == 0) { // Set IBSet on core 0. After the operation of core 0 is complete, execute the instruction of core 1.
AscendC::IBSet(sync_gm, sync_buf, 0, 0);
}