1. Fix LDSSize type to be uint32_t.
2. Prevent clWaitForEvents running on complete events whose
HostQueue have been destructed.
Change-Id: I829e915f56b37db2ba76bb876c9656166534f154
- Create bins each with its own map and lock. This would help cases
where the hash of a VA is differnet than ther one which falls in
different bin, and there is no lock contention
- Use STL shared mutexes, that way we can unique_lock for map updates
vs simple reads which can use shared_lock
Change-Id: I118818be65c6373700f5e511045babb6a398938a
Add an atomic counter to track the outstanding HSA handlers.
Wait on CPU for the callbacks if the number exceeds the value
in DEBUG_HIP_BLOCK_SYNC env variable.
Change-Id: I95dc8c4bf0258c7e59411b7504220709ed6898c5
- Don't generate callbacks for HIP events
- Don't process profiling info in the callback for HIP events
- Wait for CPU status update of the submitted commands
every 50 calls. That will allow to drain the commands and
destroy HSA signals.
Change-Id: Ib601a350e7e7c2b6c6209a172385389baccf73a9
* In a scenario where kernel is launched with hipExtLaunchKernelGGL and stop event is used, hipGraphInstantiate leaks. Since stop event is used, profiling is enabled and Timestamp (ReferencedCountedObject) is created, but it doesn't get released.
* The idea behind this solution is that profiling should be disabled when command is captured, hence the timestamp should not be created. Because information about capturing isn't available when kernel command is created, packet capturing state is used to determine whether to create a timestamp or not.
Change-Id: Ia23adac4592ded4fb5e236acf99e12e729f63692
Although unpinned copies require synchronizations
in HIP, runtime can avoid syncs for H2D copies with
a staging buffer
Change-Id: If2203c6bc0cbd89742823688dc8e89e9acd873b2
This PR adds UberTrace-based tracing support to ROCclr's PAL device class.
Legacy RGP-based tracing is still available and is the default.
If UberTrace support is enabled tool-side, this new code path will activate.
Change-Id: I268b2dcef70e850a50e2caef8355f38bf51d4641
The new set tracks only the queues that have a command
submitted to them. This allows for fast iteration
in waitActiveStreams.
Change-Id: I2c832eefa01280d9a87a5f57874d36d2e9441de7
Use env var DEBUG_CLR_KERNARG_HDP_FLUSH_WA=1 to fall back to HDP flush
workaround. The default is 0
Change-Id: I7bdb9be61da60c30d15ac9991b7cd27351e1831c
This patch fixes this potential issue that filling AQL header before
filling the AQL body. The hsa spec specifies "Packet processors may
process AQL packets after the packet format field is updated, but
before the doorbell is signaled."
However, the hipGraph AQL package with valid header will be filled
before fill the body, which may have the potential issue that CP
receive invalid AQL body.
Change-Id: I84af798c19ee2b8805ba19732b0eabdea2958a96
- Added the optimized multi stream path in graph execution. It uses a fixed number of async streams in the execution
- Optimize the launch latency, where commands
creation and execution is done at the same time
- Optimize the scheduling to use less barriers and waiting signals if
the same queue can be detected
- The new path is controlled by DEBUG_HIP_FORCE_GRAPH_QUEUES
environment variable, where 0 will use the original path and any other
value will force the number of asynchronous queues for execution
- DEBUG_HIP_FORCE_ASYNC_QUEUE can force single queue async
execution in graphs(applicable for Navi families only)
Change-Id: I7eb40bc15c45f508d6911868a6f6d4c3598d380e
=> Added support to capture multiple AQL Packets.
=> Added Interface to callback to hip runtime from rocclr to allocate
kernel args from the graph kernel arg pool.
=> Enabled Support to capture memset node.
Change-Id: I7e1c2ba06927459e024653058af142bd82192c43
Capture AQL packets during GraphInstantiation and enqueue AQL packets during graph launch.
Added support to capture single graph memset node.
Capture support for memset node is currently disabled.
Memset capture will be enabled when capture for multiple packets are supported..
Change-Id: I14dfbc41731025cc3a548a730558915def3fa384
Alex Xie
Tao Sang
Saleel Kudchadker
German Andryeyev
Anusha GodavarthySurya
Todd tiantuo Li
Jaydeep Patel
Rahul Manocha
Vladana Stojiljkovic
Ajay
Maneesh Gupta
kjayapra-amd
Daniel Livingston
Jatin Chaudhary
Ioannis Assiouras
Jimbo Xie
Julia Jiang
ksankisa
Shane Xiao