[libomptarget][nfc] Introduce SHARED, ALIGN macros

[JonChesterfield]

Summary

[libomptarget][nfc] Introduce SHARED, ALIGN macros
Move remaining cuda attributes behind such macros

[ABataev]

LG

openmp/libomptarget/deviceRTLs/amdgcn/src/target_impl.h

 #endif
 
 #include <stdint.h>
 #include "amdgcn_interface.h"
 
 #define DEVICE __attribute__((device))
 #define INLINE inline DEVICE
 #define NOINLINE __attribute__((noinline)) DEVICE
+#define SHARED __attribute__((shared))
+#define ALIGN(N) __attribute__((aligned(N)))
 
 ////////////////////////////////////////////////////////////////////////////////
 // Kernel options
 ////////////////////////////////////////////////////////////////////////////////
 
 ////////////////////////////////////////////////////////////////////////////////
 // The following def must match the absolute limit hardwired in the host RTL
 // max number of threads per team

openmp/libomptarget/deviceRTLs/nvptx/src/data_sharing.cu

 EXTERN void *__kmpc_data_sharing_environment_begin(
     __kmpc_data_sharing_slot **SavedSharedSlot, void **SavedSharedStack,
     void **SavedSharedFrame, __kmpc_impl_lanemask_t *SavedActiveThreads,
     size_t SharingDataSize, size_t SharingDefaultDataSize,
     int16_t IsOMPRuntimeInitialized) {
 
   DSPRINT0(DSFLAG, "Entering __kmpc_data_sharing_environment_begin\n");
 
-  // If the runtime has been elided, used __shared__ memory for master-worker
+  // If the runtime has been elided, used shared memory for master-worker
   // data sharing.
   if (!IsOMPRuntimeInitialized)
     return (void *)&DataSharingState;
 
   DSPRINT(DSFLAG, "Data Size %016llx\n", (unsigned long long)SharingDataSize);
   DSPRINT(DSFLAG, "Default Data Size %016llx\n",
           (unsigned long long)SharingDefaultDataSize);
 
EXTERN void __kmpc_data_sharing_environment_end(
   return;
 }
 
 EXTERN void *
 __kmpc_get_data_sharing_environment_frame(int32_t SourceThreadID,
                                           int16_t IsOMPRuntimeInitialized) {
   DSPRINT0(DSFLAG, "Entering __kmpc_get_data_sharing_environment_frame\n");
 
-  // If the runtime has been elided, use __shared__ memory for master-worker
+  // If the runtime has been elided, use shared memory for master-worker
   // data sharing.  We're reusing the statically allocated data structure
   // that is used for standard data sharing.
   if (!IsOMPRuntimeInitialized)
     return (void *)&DataSharingState;
 
   // Get the frame used by the requested thread.
 
   unsigned SourceWID = SourceThreadID / WARPSIZE;

openmp/libomptarget/deviceRTLs/nvptx/src/omp_data.cu

 
 #include "omptarget-nvptx.h"
 #include "common/device_environment.h"
 
 ////////////////////////////////////////////////////////////////////////////////
 // global device environment
 ////////////////////////////////////////////////////////////////////////////////
 
-__device__ omptarget_device_environmentTy omptarget_device_environment;
+DEVICE omptarget_device_environmentTy omptarget_device_environment;
 
 ////////////////////////////////////////////////////////////////////////////////
 // global data holding OpenMP state information
 ////////////////////////////////////////////////////////////////////////////////
 
-__device__
+DEVICE
     omptarget_nvptx_Queue<omptarget_nvptx_ThreadPrivateContext, OMP_STATE_COUNT>
         omptarget_nvptx_device_State[MAX_SM];
 
-__device__ omptarget_nvptx_SimpleMemoryManager
+DEVICE omptarget_nvptx_SimpleMemoryManager
     omptarget_nvptx_simpleMemoryManager;
-__device__ __shared__ uint32_t usedMemIdx;
-__device__ __shared__ uint32_t usedSlotIdx;
+DEVICE SHARED uint32_t usedMemIdx;
+DEVICE SHARED uint32_t usedSlotIdx;
 
-__device__ __shared__ uint8_t parallelLevel[MAX_THREADS_PER_TEAM / WARPSIZE];
-__device__ __shared__ uint16_t threadLimit;
-__device__ __shared__ uint16_t threadsInTeam;
-__device__ __shared__ uint16_t nThreads;
+DEVICE SHARED uint8_t parallelLevel[MAX_THREADS_PER_TEAM / WARPSIZE];
+DEVICE SHARED uint16_t threadLimit;
+DEVICE SHARED uint16_t threadsInTeam;
+DEVICE SHARED uint16_t nThreads;
 // Pointer to this team's OpenMP state object
-__device__ __shared__
+DEVICE SHARED
     omptarget_nvptx_ThreadPrivateContext *omptarget_nvptx_threadPrivateContext;
 
 ////////////////////////////////////////////////////////////////////////////////
 // The team master sets the outlined parallel function in this variable to
 // communicate with the workers.  Since it is in shared memory, there is one
 // copy of these variables for each kernel, instance, and team.
 ////////////////////////////////////////////////////////////////////////////////
-volatile __device__ __shared__ omptarget_nvptx_WorkFn omptarget_nvptx_workFn;
+volatile DEVICE SHARED omptarget_nvptx_WorkFn omptarget_nvptx_workFn;
 
 ////////////////////////////////////////////////////////////////////////////////
 // OpenMP kernel execution parameters
 ////////////////////////////////////////////////////////////////////////////////
-__device__ __shared__ uint32_t execution_param;
+DEVICE SHARED uint32_t execution_param;
 
 ////////////////////////////////////////////////////////////////////////////////
 // Data sharing state
 ////////////////////////////////////////////////////////////////////////////////
-__device__ __shared__ DataSharingStateTy DataSharingState;
+DEVICE SHARED DataSharingStateTy DataSharingState;
 
 ////////////////////////////////////////////////////////////////////////////////
 // Scratchpad for teams reduction.
 ////////////////////////////////////////////////////////////////////////////////
-__device__ __shared__ void *ReductionScratchpadPtr;
+DEVICE SHARED void *ReductionScratchpadPtr;
 
 ////////////////////////////////////////////////////////////////////////////////
 // Data sharing related variables.
 ////////////////////////////////////////////////////////////////////////////////
-__device__ __shared__ omptarget_nvptx_SharedArgs omptarget_nvptx_globalArgs;
+DEVICE SHARED omptarget_nvptx_SharedArgs omptarget_nvptx_globalArgs;

openmp/libomptarget/deviceRTLs/nvptx/src/omptarget-nvptx.h

private:
   void *buffer[MAX_SHARED_ARGS];
   // pointer to arguments buffer.
   // starts off as a pointer to 'buffer' but can be dynamically allocated.
   void **args;
   // starts off as MAX_SHARED_ARGS but can increase in size.
   uint32_t nArgs;
 };
 
-extern __device__ __shared__ omptarget_nvptx_SharedArgs
+extern DEVICE SHARED omptarget_nvptx_SharedArgs
     omptarget_nvptx_globalArgs;
 
 // Data structure to keep in shared memory that traces the current slot, stack,
 // and frame pointer as well as the active threads that didn't exit the current
 // environment.
 struct DataSharingStateTy {
   __kmpc_data_sharing_slot *SlotPtr[DS_Max_Warp_Number];
   void *StackPtr[DS_Max_Warp_Number];

 // size of 4 bytes.
 struct __kmpc_data_sharing_master_slot_static {
   __kmpc_data_sharing_slot *Next;
   __kmpc_data_sharing_slot *Prev;
   void *PrevSlotStackPtr;
   void *DataEnd;
   char Data[DS_Slot_Size];
 };
-extern __device__ __shared__ DataSharingStateTy DataSharingState;
+extern DEVICE SHARED DataSharingStateTy DataSharingState;
 
 ////////////////////////////////////////////////////////////////////////////////
 // task ICV and (implicit & explicit) task state
 
 class omptarget_nvptx_TaskDescr {
 public:
   // methods for flags
   INLINE omp_sched_t GetRuntimeSched() const;

 
 private:
   omptarget_nvptx_TaskDescr
       levelZeroTaskDescr; // icv for team master initial thread
   omptarget_nvptx_WorkDescr
       workDescrForActiveParallel; // one, ONLY for the active par
   uint64_t lastprivateIterBuffer;
 
-  __align__(16)
-      __kmpc_data_sharing_worker_slot_static worker_rootS[WARPSIZE];
-  __align__(16) __kmpc_data_sharing_master_slot_static master_rootS[1];
+  ALIGN(16)
+  ALIGN(16) __kmpc_data_sharing_master_slot_static master_rootS[1];
 };
 
 ////////////////////////////////////////////////////////////////////////////////
 // thread private data (struct of arrays for better coalescing)
 // tid refers here to the global thread id
 // do not support multiple concurrent kernel a this time
 class omptarget_nvptx_ThreadPrivateContext {
 public:
private:
   int64_t nextLowerBound[MAX_THREADS_PER_TEAM];
   int64_t stride[MAX_THREADS_PER_TEAM];
   uint64_t cnt;
 };
 
 /// Memory manager for statically allocated memory.
 class omptarget_nvptx_SimpleMemoryManager {
 private:
-  __align__(128) struct MemDataTy {
+  ALIGN(128) struct MemDataTy {
     volatile unsigned keys[OMP_STATE_COUNT];
   } MemData[MAX_SM];
 
   INLINE static uint32_t hash(unsigned key) {
     return key & (OMP_STATE_COUNT - 1);
   }
 
 public:
   INLINE void Release();
   INLINE const void *Acquire(const void *buf, size_t size);
 };
 
 ////////////////////////////////////////////////////////////////////////////////
 
 ////////////////////////////////////////////////////////////////////////////////
 // global data tables
 ////////////////////////////////////////////////////////////////////////////////
 
-extern __device__ omptarget_nvptx_SimpleMemoryManager
+extern DEVICE omptarget_nvptx_SimpleMemoryManager
     omptarget_nvptx_simpleMemoryManager;
-extern __device__ __shared__ uint32_t usedMemIdx;
-extern __device__ __shared__ uint32_t usedSlotIdx;
-extern __device__ __shared__ uint8_t
+extern DEVICE SHARED uint32_t usedMemIdx;
+extern DEVICE SHARED uint32_t usedSlotIdx;
+extern DEVICE SHARED uint8_t
     parallelLevel[MAX_THREADS_PER_TEAM / WARPSIZE];
-extern __device__ __shared__ uint16_t threadLimit;
-extern __device__ __shared__ uint16_t threadsInTeam;
-extern __device__ __shared__ uint16_t nThreads;
-extern __device__ __shared__
+extern DEVICE SHARED uint16_t threadLimit;
+extern DEVICE SHARED uint16_t threadsInTeam;
+extern DEVICE SHARED uint16_t nThreads;
+extern DEVICE SHARED
     omptarget_nvptx_ThreadPrivateContext *omptarget_nvptx_threadPrivateContext;
 
-extern __device__ __shared__ uint32_t execution_param;
-extern __device__ __shared__ void *ReductionScratchpadPtr;
+extern DEVICE SHARED uint32_t execution_param;
+extern DEVICE SHARED void *ReductionScratchpadPtr;
 
 ////////////////////////////////////////////////////////////////////////////////
 // work function (outlined parallel/simd functions) and arguments.
 // needed for L1 parallelism only.
 ////////////////////////////////////////////////////////////////////////////////
 
 typedef void *omptarget_nvptx_WorkFn;
-extern volatile __device__ __shared__ omptarget_nvptx_WorkFn
+extern volatile DEVICE SHARED omptarget_nvptx_WorkFn
     omptarget_nvptx_workFn;
 
 ////////////////////////////////////////////////////////////////////////////////
 // get private data structures
 ////////////////////////////////////////////////////////////////////////////////
 
 INLINE omptarget_nvptx_TeamDescr &getMyTeamDescriptor();
 INLINE omptarget_nvptx_WorkDescr &getMyWorkDescriptor();

openmp/libomptarget/deviceRTLs/nvptx/src/omptarget-nvptx.cu

 
 #include "omptarget-nvptx.h"
 #include "target_impl.h"
 
 ////////////////////////////////////////////////////////////////////////////////
 // global data tables
 ////////////////////////////////////////////////////////////////////////////////
 
-extern __device__
+extern DEVICE
     omptarget_nvptx_Queue<omptarget_nvptx_ThreadPrivateContext, OMP_STATE_COUNT>
         omptarget_nvptx_device_State[MAX_SM];
 
 ////////////////////////////////////////////////////////////////////////////////
 // init entry points
 ////////////////////////////////////////////////////////////////////////////////
 
 EXTERN void __kmpc_kernel_init_params(void *Ptr) {

openmp/libomptarget/deviceRTLs/nvptx/src/reduction.cu

static int32_t nvptx_teams_reduce_nowait(int32_t global_tid, int32_t num_vars,
   // In non-generic mode all workers participate in the teams reduction.
   // In generic mode only the team master participates in the teams
   // reduction because the workers are waiting for parallel work.
   uint32_t NumThreads =
       isSPMDExecutionMode ? GetNumberOfOmpThreads(/*isSPMDExecutionMode=*/true)
                           : /*Master thread only*/ 1;
   uint32_t TeamId = GetBlockIdInKernel();
   uint32_t NumTeams = GetNumberOfBlocksInKernel();
-  __shared__ volatile bool IsLastTeam;
+  SHARED volatile bool IsLastTeam;
 
   // Team masters of all teams write to the scratchpad.
   if (ThreadId == 0) {
     unsigned int *timestamp = GetTeamsReductionTimestamp();
     char *scratchpad = GetTeamsReductionScratchpad();
 
     scratchFct(reduce_data, scratchpad, TeamId, NumTeams);
     __threadfence();

 }
 
 INLINE static uint32_t roundToWarpsize(uint32_t s) {
   if (s < WARPSIZE)
     return 1;
   return (s & ~(unsigned)(WARPSIZE - 1));
 }
 
-__device__ static volatile uint32_t IterCnt = 0;
-__device__ static volatile uint32_t Cnt = 0;
+DEVICE static volatile uint32_t IterCnt = 0;
+DEVICE static volatile uint32_t Cnt = 0;
 EXTERN int32_t __kmpc_nvptx_teams_reduce_nowait_v2(
     kmp_Ident *loc, int32_t global_tid, void *global_buffer,
     int32_t num_of_records, void *reduce_data, kmp_ShuffleReductFctPtr shflFct,
     kmp_InterWarpCopyFctPtr cpyFct, kmp_ListGlobalFctPtr lgcpyFct,
     kmp_ListGlobalFctPtr lgredFct, kmp_ListGlobalFctPtr glcpyFct,
     kmp_ListGlobalFctPtr glredFct) {
 
   // Terminate all threads in non-SPMD mode except for the master thread.
   if (checkGenericMode(loc) && GetThreadIdInBlock() != GetMasterThreadID())
     return 0;
 
   uint32_t ThreadId = GetLogicalThreadIdInBlock(checkSPMDMode(loc));
 
   // In non-generic mode all workers participate in the teams reduction.
   // In generic mode only the team master participates in the teams
   // reduction because the workers are waiting for parallel work.
   uint32_t NumThreads =
       checkSPMDMode(loc) ? GetNumberOfOmpThreads(/*isSPMDExecutionMode=*/true)
                          : /*Master thread only*/ 1;
   uint32_t TeamId = GetBlockIdInKernel();
   uint32_t NumTeams = GetNumberOfBlocksInKernel();
-  __shared__ unsigned Bound;
-  __shared__ unsigned ChunkTeamCount;
+  SHARED unsigned Bound;
+  SHARED unsigned ChunkTeamCount;
 
   // Block progress for teams greater than the current upper
   // limit. We always only allow a number of teams less or equal
   // to the number of slots in the buffer.
   bool IsMaster = isMaster(loc, ThreadId);
   while (IsMaster) {
     // Atomic read
     Bound = atomicAdd((uint32_t *)&IterCnt, 0);

openmp/libomptarget/deviceRTLs/nvptx/src/target_impl.h

 #define _TARGET_IMPL_H_
 
 #include <cuda.h>
 #include "nvptx_interface.h"
 
 #define DEVICE __device__
 #define INLINE __forceinline__ DEVICE
 #define NOINLINE __noinline__ DEVICE
+#define SHARED __shared__
+#define ALIGN(N) __align__(N)
 
 ////////////////////////////////////////////////////////////////////////////////
 // Kernel options
 ////////////////////////////////////////////////////////////////////////////////
 
 ////////////////////////////////////////////////////////////////////////////////
 // The following def must match the absolute limit hardwired in the host RTL
 // max number of threads per team