VREV32	V5.B16, V5.B16                  // a508206e
	VREV64	V2.S2, V3.S2                    // 4308a00e
	VREV64	V2.S4, V3.S4                    // 4308a04e

// logical ops
//
// make sure constants get encoded into an instruction when it could
	AND	R1@>33, R2
	AND	$(1<<63), R1                        // AND	$-9223372036854775808, R1       // 21004192

	VMSBCVV		V1, V2, V3			// d781204e
	VMSBCVV		V1, V2, V0			// 5780204e
	VMSBCVX		X11, V2, V3			// d7c1254e
	VMSBCVX		X11, V2, V0			// 57c0254e

	// 31.11.5: Vector Bitwise Logical Instructions
	VANDVV		V1, V2, V3			// d7812026
	VANDVV		V1, V2, V0, V3			// d7812024
	VANDVX		X11, V2, V3			// d7c12526
	VANDVX		X11, V2, V0, V3			// d7c12524
	VANDVI		$15, V2, V3			// d7b12726

* kubeadm has removed `.Etcd.SelfHosting`...

- Timeouts set in ListOptions for clients are also be respected locally ([#70998](https://github.com/kubernetes/kubernetes/pull/70998), [@deads2k](https://github.com/deads2k))

- Add instruction to setup "Application Default Credentials" to run GCE Windows e2e tests locally. ([#81337](https://github.com/kubernetes/kubernetes/pull/81337), [@YangLu1031](https://github.com/YangLu1031))

	_, err := globalIAMSys.PolicyDBSet(ctx, entityName, mapping.Policy, userType, isGroup)
	if err != nil {
		return wrapSRErr(err)
	}
	return nil
}

// PeerSTSAccHandler - replicates STS credential locally.
func (c *SiteReplicationSys) PeerSTSAccHandler(ctx context.Context, stsCred *madmin.SRSTSCredential, updatedAt time.Time) error {
	if stsCred == nil {
		return errSRInvalidRequest(errInvalidArgument)
	}

- Fixed issue on Windows when calculating cpu limits on nodes with more than 64 logical processors ([#114231](https://github.com/kubernetes/kubernetes/pull/114231), [@mweibel](https://github.com/mweibel))

   ([#123527](https://github.com/kubernetes/kubernetes/pull/123527), [@aramase](https://github.com/aramase))

* Hermetic CUDA support is added.

  Hermetic CUDA uses a specific downloadable version of CUDA instead of the user’s locally installed CUDA. Bazel will download CUDA, CUDNN and NCCL distributions, and then use CUDA libraries and tools as dependencies in various Bazel targets. This enables more reproducible builds for Google ML projects and supported CUDA versions.

Durable Local Storage Management is Now GA ([#121](https://github.com/kubernetes/enhancements/issues/121#issuecomment-457396290))

- Makes locally attached (non-network attached) storage available as a persistent volume source.
- Allows users to take advantage of the typically cheaper and improved performance of persistent local storage