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/* $NoKeywords:$ */
/**
* @file
*
* mnParTrainc32.c
*
* Feature which performs Memory DQS training on each node with each node training
* its own memory through code running on a core in the associated processor.
* This way memory can be trained in parallel by more than one processor.
*
* This file contains the C32 specific parallel training function.
*
* @xrefitem bom "File Content Label" "Release Content"
* @e project: AGESA
* @e sub-project: (Mem/NB/C32)
* @e \$Revision: 54775 $ @e \$Date: 2011-06-12 21:05:26 -0600 (Sun, 12 Jun 2011) $
*
**/
/*****************************************************************************
*
* Copyright (C) 2012 Advanced Micro Devices, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of Advanced Micro Devices, Inc. nor the names of
* its contributors may be used to endorse or promote products derived
* from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL ADVANCED MICRO DEVICES, INC. BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* ***************************************************************************
*
*/
#include "AGESA.h"
#include "AdvancedApi.h"
#include "amdlib.h"
#include "OptionMemory.h"
#include "mm.h"
#include "mn.h"
#include "mnc32.h"
#include "Ids.h"
#include "cpuRegisters.h"
#include "cpuServices.h"
#include "GeneralServices.h"
#include "cpuFamilyTranslation.h"
#include "cpuApicUtilities.h"
#include "mfParallelTraining.h"
#include "heapManager.h"
#include "Filecode.h"
CODE_GROUP (G2_PEI)
RDATA_GROUP (G2_PEI)
#define FILECODE PROC_MEM_NB_C32_MNPARTRAINC32_FILECODE
/*-----------------------------------------------------------------------------
* EXPORTED FUNCTIONS
*
*-----------------------------------------------------------------------------
*/
BOOLEAN
MemFParallelTrainingC32 (
IN OUT MEM_NB_BLOCK *NBPtr
);
BOOLEAN
STATIC
MemConstructRemoteNBBlockC32 (
IN OUT MEM_NB_BLOCK *NBPtr,
IN DIE_STRUCT *MCTPtr,
IN MEM_FEAT_BLOCK_NB *FeatPtr
);
/* -----------------------------------------------------------------------------*/
/**
*
*
* This is the training function which set up the environment for remote
* training on the ap and launches the remote routine.
*
* @param[in,out] *NBPtr - Pointer to the MEM_NB_BLOCK
*
* @return TRUE - Launch training on AP successfully.
* @return FALSE - Fail to launch training on AP.
*/
BOOLEAN
MemFParallelTrainingC32 (
IN OUT MEM_NB_BLOCK *NBPtr
)
{
AMD_CONFIG_PARAMS *StdHeader;
DIE_STRUCT *MCTPtr;
REMOTE_TRAINING_ENV *EnvPtr;
AP_TASK TrainingTask;
UINT8 Socket;
UINT8 Module;
UINT8 APCore;
UINT8 p;
UINT32 LowCore;
UINT32 HighCore;
UINT32 BspSocket;
UINT32 BspModule;
UINT32 BspCore;
AGESA_STATUS Status;
ALLOCATE_HEAP_PARAMS AllocHeapParams;
UINT16 MctDataSize;
StdHeader = &(NBPtr->MemPtr->StdHeader);
MCTPtr = NBPtr->MCTPtr;
Socket = MCTPtr->SocketId;
Module = MCTPtr->DieId;
//
// Allocate buffer for REMOTE_TRAINING_ENV
//
MctDataSize = MAX_DCTS_PER_NODE_C32 * (
sizeof (DCT_STRUCT) + (
MAX_CHANNELS_PER_DCT_C32 * (sizeof (CH_DEF_STRUCT) + sizeof (MEM_PS_BLOCK))
)
);
AllocHeapParams.RequestedBufferSize = MctDataSize + sizeof (REMOTE_TRAINING_ENV);
AllocHeapParams.BufferHandle = GENERATE_MEM_HANDLE (ALLOC_PAR_TRN_HANDLE, Socket, Module, 0);
AllocHeapParams.Persist = HEAP_LOCAL_CACHE;
if (HeapAllocateBuffer (&AllocHeapParams, StdHeader) == AGESA_SUCCESS) {
EnvPtr = (REMOTE_TRAINING_ENV *) AllocHeapParams.BufferPtr;
AllocHeapParams.BufferPtr += sizeof (REMOTE_TRAINING_ENV);
//
// Setup Remote training environment
//
LibAmdMemCopy (&(EnvPtr->StdHeader), StdHeader, sizeof (AMD_CONFIG_PARAMS), StdHeader);
LibAmdMemCopy (&(EnvPtr->DieStruct), MCTPtr, sizeof (DIE_STRUCT), StdHeader);
for (p = 0; p < MAX_PLATFORM_TYPES; p++) {
EnvPtr->GetPlatformCfg[p] = NBPtr->MemPtr->GetPlatformCfg[p];
}
EnvPtr->ErrorHandling = NBPtr->MemPtr->ErrorHandling;
EnvPtr->NBBlockCtor = MemConstructRemoteNBBlockC32;
EnvPtr->FeatPtr = NBPtr->FeatPtr;
EnvPtr->HoleBase = NBPtr->RefPtr->HoleBase;
EnvPtr->BottomIo = NBPtr->RefPtr->BottomIo;
EnvPtr->UmaSize = NBPtr->RefPtr->UmaSize;
EnvPtr->SysLimit = NBPtr->RefPtr->SysLimit;
EnvPtr->TableBasedAlterations = NBPtr->RefPtr->TableBasedAlterations;
EnvPtr->PlatformMemoryConfiguration = NBPtr->RefPtr->PlatformMemoryConfiguration;
LibAmdMemCopy (AllocHeapParams.BufferPtr, MCTPtr->DctData, MctDataSize, StdHeader);
//
// Get Socket, Core of the BSP
//
IdentifyCore (StdHeader, &BspSocket, &BspModule, &BspCore, &Status);
EnvPtr->BspSocket = ((UINT8)BspSocket & 0x000000FF);
EnvPtr->BspCore = ((UINT8)BspCore & 0x000000FF);
//
// Set up the remote task structure
//
TrainingTask.DataTransfer.DataPtr = EnvPtr;
TrainingTask.DataTransfer.DataSizeInDwords = (UINT16) (AllocHeapParams.RequestedBufferSize + 3) / 4;
TrainingTask.DataTransfer.DataTransferFlags = 0;
TrainingTask.ExeFlags = 0;
TrainingTask.FuncAddress.PfApTaskI = (PF_AP_TASK_I)MemFParallelTraining;
//
// Get Target AP Core
//
GetGivenModuleCoreRange (Socket, Module, &LowCore, &HighCore, StdHeader);
APCore = (UINT8) (LowCore & 0x000000FF);
//
// Launch Remote Training
//
ApUtilRunCodeOnSocketCore (Socket, APCore, &TrainingTask, StdHeader);
HeapDeallocateBuffer (AllocHeapParams.BufferHandle, StdHeader);
return TRUE;
} else {
PutEventLog (AGESA_FATAL, MEM_ERROR_HEAP_ALLOCATE_FOR_REMOTE_TRAINING_ENV, NBPtr->Node, 0, 0, 0, StdHeader);
SetMemError (AGESA_FATAL, MCTPtr);
ASSERT(FALSE); // Could not allocated heap space for "REMOTE_TRAINING_ENV"
return FALSE;
}
}
BOOLEAN
STATIC
MemConstructRemoteNBBlockC32 (
IN OUT MEM_NB_BLOCK *NBPtr,
IN DIE_STRUCT *MCTPtr,
IN MEM_FEAT_BLOCK_NB *FeatPtr
)
{
CPU_SPECIFIC_SERVICES *FamilySpecificServices;
NBPtr->MCTPtr = MCTPtr;
NBPtr->PciAddr.AddressValue = MCTPtr->PciAddr.AddressValue;
MemNInitNBDataC32 (NBPtr);
FeatPtr->InitCPG (NBPtr);
NBPtr->FeatPtr = FeatPtr;
FeatPtr->InitHwRxEn (NBPtr);
MemNSwitchDCTNb (NBPtr, 0);
//----------------------------------------------------------------------------
// Get TSC rate of the this AP
//----------------------------------------------------------------------------
GetCpuServicesOfCurrentCore ((CONST CPU_SPECIFIC_SERVICES **)&FamilySpecificServices, &NBPtr->MemPtr->StdHeader);
FamilySpecificServices->GetTscRate (FamilySpecificServices, &NBPtr->MemPtr->TscRate, &NBPtr->MemPtr->StdHeader);
return TRUE;
}
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