* Batch P2P operations (2 per CU/channel) and update channel-part mapping
- Revert bitreversal and fix channel mapping to be compatible with P2P batching and avoid hangs
- P2P batching is only used for more than 2 nodes to avoid aggregating intra-node traffic when it is dominant for less than 2 nodes
* Address single node regression and channel per net peer
* Add batching threshold
* Add enable switch for batching
* Update CHANGELOG.md
* Add minor comment change
* Update CHANGELOG.md
Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
* Update CHANGELOG.md
Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
* [rocm_regression] Return errors when HSA_NO_SCRATCH_RECLAIM=1 even for rocm >= 6.4.0
* [rocm_regression] Check firmware version
* [rocm_regression] Resolve review comments
* [rocm_regression] Move hsa env checking into init once func
* [rocm_regression] Prevent hot fix version in firmware
* [rocm_regression] Improve unit tests
* Support pipelining codegen and template specialization
* Support ReduceCopy pipelining for AllReduce, ReduceScatter, and Reduce (currently enabled for bfloat16)
* Remove need for FUNC_INDEX_TOTAL
* Add pipeline field to device function key construction logic
* Avoid unneeded codegen for LL/LL64 kernels
* Modify conditions and add pipeline dtypes env
* Optimize selection for both gfx942 and gfx950
* Increase pipeline bitfield width
* Use __forceinline__ for all device functions
* Realign reduceCopy with original form
* Add opt-out option to enable perf debugs
* Remove force-reduce-pipelining option from README
* Update CHANGELOG.md
---------
Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
* add direct allgather algorithm
* minor fix
* add debug print for memory allocation tracker
* add message size threshold for direct allgather
* scatter transfers across ranks
* update changelog
* minor fix
* Update CHANGELOG.md
Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
* enable direct AG when pxn is ON on MI300X or MI350
---------
Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
- Updated ncclDevFuncId to use a hash-based lookup with std::unordered_map.
- Keys are now 64-bit integers, which pack coll, algo, proto, devRedOp, and type fields.
- Improved flexibility and maintainability by moving away from row-based indexing.
- Added error handling for missing keys in the hash map.
- Aligned key generation logic with generate.py and updated generate.py.
* change gfx950 algo/proto selection for multinode allreduce, allgather, reduceScatter
* gfx950 tuning: enable tuning for broadcast, allreduce starts LL128 earlier and switches to ring earlier, change LL128 start for allgather and reduceScatter
* lower LL128 threshold
* update reduceScatter LL128 min to match LL max for consistency
* enable multinode PXN and increase chunksize for gfx950
* change LL128 start to 128KB, adjust ring-start according to node-count
* disable code-path for fused-AR on LL128 for gfx950
* use LL128 starting from 1KB for multinode allgather on gfx950
* start LL128 earlier for multinode reduceScatter on gfx950
* start LL128 earlier for multinode broadcast on gfx950
* set multinode allreduce to start simple on 64MB for gfx950
* start LL128 from 1KB for multinode broadcast on gfx950
* setting multinode AR to use tree instead of ring at 16MB, 64MB, 128MB
* set multinode broadcast to use LL for up to 256KB depending on node-count for gfx950
* adjust algo for 32MB multinode allreduce on gfx950
* make 32MB tree LL128 for multinode AR on gfx950
* make sure ring is not picked on 2N allreduce on small sizes
Leverages the traits of extended-scope fine-grain memory to get rid of a device-scope acquire-release fence. This improves throughput for single node workloads on gfx942 and gfx950 for some input sizes (e.g., ~32 MiB to about 256 MiB) when using the simple protocol. Multinode workloads on MI300X see a smaller but statistically significant uplift for some message sizes. Runtime disablement is supported via setting the environment variable RCCL_GFX942_CHEAP_FENCE_ON to 0.
* Added useAcc as a template parameter to address the 2% performance regression in allreduceWithBias
---------
Co-authored-by: Marzieh Berenjkoub <mberenjk@amd.com>
- Introduced double-buffering to reduce copy overhead and overlap BF16 arithmetic with data prefetching.
- Aimed to improve performance of reduction-based collectives by up to 10%.
- Implemented based on recommendations from Guennadi Riguer (AMD)
- Added --force-reduce-pipeline option to install.sh to activate this optimization for BF16 reductions.
- Feature is disabled by default to prevent regressions with large messages until auto-tuning logic is upstreamed.
---------
Co-authored-by: Jeffrey Novotny <jnovotny@amd.com>
Co-authored-by: Pedram Alizadeh <pmohamma@amd.com>
Prevent initialization failures in certain configurations when attempting
to load fp8-specific symmetric multicast kernels on GPUs older than
Blackwell.
* Support fused all reduce and elementwise operations
Add additional "acc" parameter to RCCL Replayer logs
Add flag which indicates availability of new API
* Fix Recorder json parsing
* Remove unreachable code
* Remove extra acc pointer check
* .
* Revert "[DEVICE] Adding ability to choose unroll factor at runtime (#1734)"
This reverts commit 9d72be7b2f.
* Use noinline to reduce kernels linking time
* Don't use noinline for gfx942 and gfx950 to avoid perf regression
---------
Co-authored-by: AtlantaPepsi <timhu102@amd.com>
Co-authored-by: BertanDogancay <bertan.dogancay@gmail.com>
Boosts single node bfloat16 allreduce performance by up to 20% for some data sizes and provides gating with the RCCL_GFX942_CHEAP_FENCE_OFF environment variable
* Increased max stack size to 640
* Added new binary for executing unit tests
Added new unit tests for argcheck.cc and alt_rsmi.cc files
Modified the method to execute unit tests to cover static methods
by using a bash script to convert static to non-static functions
and variables on the fly restricted to debug build type.
Mustafa Abduljabbar
Larry Meadows
corey-derochie-amd
Venkateshwar Reddy Kandula
Nilesh M Negi
Karthik Ganesan
Bertan Dogancay
mberenjk
Wenkai Du
isaki001
ycui1984
BertanDogancay
Nusrat Islam
Arm Patinyasakdikul
alex-breslow-amd
Karthikeyan Arumugam
Avinash
Sarat Kamisetty
Atul Kulkarni
Kamil Iskra
Rahul Vaidya