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# 729bf9b2 14-Aug-2021 Matt Arsenault <[email protected]>

AMDGPU: Enable fixed function ABI by default

Code using indirect calls is broken without this, and there isn't
really much value in supporting the old attempt to vary the argument
placement based on

AMDGPU: Enable fixed function ABI by default

Code using indirect calls is broken without this, and there isn't
really much value in supporting the old attempt to vary the argument
placement based on uses. This resulted in more argument shuffling code
anyway.

Also have the option stop implying all inputs need to be passed. This
will no rely on the amdgpu-no-* attributes to avoid passing
unnecessary values.

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Revision tags: llvmorg-13.0.0-rc1, llvmorg-14-init, llvmorg-12.0.1, llvmorg-12.0.1-rc4, llvmorg-12.0.1-rc3, llvmorg-12.0.1-rc2, llvmorg-12.0.1-rc1, llvmorg-12.0.0, llvmorg-12.0.0-rc5, llvmorg-12.0.0-rc4, llvmorg-12.0.0-rc3, llvmorg-12.0.0-rc2, llvmorg-11.1.0, llvmorg-11.1.0-rc3, llvmorg-12.0.0-rc1, llvmorg-13-init, llvmorg-11.1.0-rc2, llvmorg-11.1.0-rc1, llvmorg-11.0.1, llvmorg-11.0.1-rc2, llvmorg-11.0.1-rc1, llvmorg-11.0.0, llvmorg-11.0.0-rc6, llvmorg-11.0.0-rc5, llvmorg-11.0.0-rc4, llvmorg-11.0.0-rc3, llvmorg-11.0.0-rc2, llvmorg-11.0.0-rc1, llvmorg-12-init, llvmorg-10.0.1, llvmorg-10.0.1-rc4, llvmorg-10.0.1-rc3, llvmorg-10.0.1-rc2
# c799f873 03-Jun-2020 Jay Foad <[email protected]>

[AMDGPU] Don't cluster stores

Clustering loads has caching benefits, but as far as I know there is no
advantage to clustering stores on any AMDGPU subtargets.

The disadvantage is that it tends to i

[AMDGPU] Don't cluster stores

Clustering loads has caching benefits, but as far as I know there is no
advantage to clustering stores on any AMDGPU subtargets.

The disadvantage is that it tends to increase register pressure and
restricts scheduling freedom.

Differential Revision: https://reviews.llvm.org/D85530

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# 33fd4a18 30-Jul-2020 hsmahesha <[email protected]>

[AMDGPU/MemOpsCluster] Clean-up fixme's around mem ops clustering logic

Get rid of all fixmes and base heuristic on `num-clustered-dwords`. The main intuition behind this is as
follows. The existing

[AMDGPU/MemOpsCluster] Clean-up fixme's around mem ops clustering logic

Get rid of all fixmes and base heuristic on `num-clustered-dwords`. The main intuition behind this is as
follows. The existing heuristic roughly summarizes as below:

* Assume, all the mem ops instructions participating in the clustering process, loads/stores same num bytes
* If num bytes loaded by each mem op is 4 bytes, then cluster at max 5 mem ops, that is at max 20 bytes
* If num bytes loaded by each mem op is 8 bytes, then cluster at max 3 mem ops, that is at max 24 bytes
* If num bytes loaded by each mem op is 16 bytes, then cluster at max 2 mem ops, that is at max 32 bytes

So, we need to make sure that the new heuristic do not completey deviate away from the above one, and it
properly handles both the sub-word loads and the wide loads.

Reviewed By: arsenm, rampitec

Differential Revision: https://reviews.llvm.org/D84354

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# 9162b70e 26-Jul-2020 Changpeng Fang <[email protected]>

DADCombiner: Don't simplify the token factor if the node's number of operands already exceeds TokenFactorInlineLimit

Summary:
In parallelizeChainedStores, a TokenFactor was created with the size g

DADCombiner: Don't simplify the token factor if the node's number of operands already exceeds TokenFactorInlineLimit

Summary:
In parallelizeChainedStores, a TokenFactor was created with the size greater than 3000.
We found that DAGCombiner::visitTokenFactor will consume a huge amount of time on
such nodes. Since the number of operands already exceeds TokenFactorInlineLimit, we propose
to give up simplification with the consideration of compile time.

Reviewers:
@spatel, @arsenm

Differential Revision:
https://reviews.llvm.org/D84204

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