futhark-0.19.5: src/Futhark/CodeGen/ImpGen/Kernels/ToOpenCL.hs
{-# LANGUAGE QuasiQuotes #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE TupleSections #-}
-- | This module defines a translation from imperative code with
-- kernels to imperative code with OpenCL calls.
module Futhark.CodeGen.ImpGen.Kernels.ToOpenCL
( kernelsToOpenCL,
kernelsToCUDA,
)
where
import Control.Monad.Identity
import Control.Monad.Reader
import Control.Monad.State
import Data.FileEmbed
import qualified Data.Map.Strict as M
import Data.Maybe
import qualified Data.Set as S
import qualified Futhark.CodeGen.Backends.GenericC as GC
import Futhark.CodeGen.Backends.SimpleRep
import Futhark.CodeGen.ImpCode.Kernels hiding (Program)
import qualified Futhark.CodeGen.ImpCode.Kernels as ImpKernels
import Futhark.CodeGen.ImpCode.OpenCL hiding (Program)
import qualified Futhark.CodeGen.ImpCode.OpenCL as ImpOpenCL
import Futhark.Error (compilerLimitationS)
import Futhark.IR.Prop (isBuiltInFunction)
import Futhark.MonadFreshNames
import Futhark.Util (zEncodeString)
import Futhark.Util.Pretty (prettyOneLine)
import qualified Language.C.Quote.CUDA as CUDAC
import qualified Language.C.Quote.OpenCL as C
import qualified Language.C.Syntax as C
kernelsToCUDA, kernelsToOpenCL :: ImpKernels.Program -> ImpOpenCL.Program
kernelsToCUDA = translateKernels TargetCUDA
kernelsToOpenCL = translateKernels TargetOpenCL
-- | Translate a kernels-program to an OpenCL-program.
translateKernels ::
KernelTarget ->
ImpKernels.Program ->
ImpOpenCL.Program
translateKernels target prog =
let ( prog',
ToOpenCL kernels device_funs used_types sizes failures
) =
(`runState` initialOpenCL) . (`runReaderT` defFuns prog) $ do
let ImpKernels.Definitions
(ImpKernels.Constants ps consts)
(ImpKernels.Functions funs) = prog
consts' <- traverse (onHostOp target) consts
funs' <- forM funs $ \(fname, fun) ->
(fname,) <$> traverse (onHostOp target) fun
return $
ImpOpenCL.Definitions
(ImpOpenCL.Constants ps consts')
(ImpOpenCL.Functions funs')
(device_prototypes, device_defs) = unzip $ M.elems device_funs
kernels' = M.map fst kernels
opencl_code = openClCode $ map snd $ M.elems kernels
opencl_prelude =
unlines
[ pretty $ genPrelude target used_types,
unlines $ map pretty device_prototypes,
unlines $ map pretty device_defs
]
in ImpOpenCL.Program
opencl_code
opencl_prelude
kernels'
(S.toList used_types)
(cleanSizes sizes)
failures
prog'
where
genPrelude TargetOpenCL = genOpenClPrelude
genPrelude TargetCUDA = const genCUDAPrelude
-- | Due to simplifications after kernel extraction, some threshold
-- parameters may contain KernelPaths that reference threshold
-- parameters that no longer exist. We remove these here.
cleanSizes :: M.Map Name SizeClass -> M.Map Name SizeClass
cleanSizes m = M.map clean m
where
known = M.keys m
clean (SizeThreshold path def) =
SizeThreshold (filter ((`elem` known) . fst) path) def
clean s = s
pointerQuals :: Monad m => String -> m [C.TypeQual]
pointerQuals "global" = return [C.ctyquals|__global|]
pointerQuals "local" = return [C.ctyquals|__local|]
pointerQuals "private" = return [C.ctyquals|__private|]
pointerQuals "constant" = return [C.ctyquals|__constant|]
pointerQuals "write_only" = return [C.ctyquals|__write_only|]
pointerQuals "read_only" = return [C.ctyquals|__read_only|]
pointerQuals "kernel" = return [C.ctyquals|__kernel|]
pointerQuals s = error $ "'" ++ s ++ "' is not an OpenCL kernel address space."
-- In-kernel name and per-workgroup size in bytes.
type LocalMemoryUse = (VName, Count Bytes Exp)
data KernelState = KernelState
{ kernelLocalMemory :: [LocalMemoryUse],
kernelFailures :: [FailureMsg],
kernelNextSync :: Int,
-- | Has a potential failure occurred sine the last
-- ErrorSync?
kernelSyncPending :: Bool,
kernelHasBarriers :: Bool
}
newKernelState :: [FailureMsg] -> KernelState
newKernelState failures = KernelState mempty failures 0 False False
errorLabel :: KernelState -> String
errorLabel = ("error_" ++) . show . kernelNextSync
data ToOpenCL = ToOpenCL
{ clKernels :: M.Map KernelName (KernelSafety, C.Func),
clDevFuns :: M.Map Name (C.Definition, C.Func),
clUsedTypes :: S.Set PrimType,
clSizes :: M.Map Name SizeClass,
clFailures :: [FailureMsg]
}
initialOpenCL :: ToOpenCL
initialOpenCL = ToOpenCL mempty mempty mempty mempty mempty
type AllFunctions = ImpKernels.Functions ImpKernels.HostOp
lookupFunction :: Name -> AllFunctions -> Maybe ImpKernels.Function
lookupFunction fname (ImpKernels.Functions fs) = lookup fname fs
type OnKernelM = ReaderT AllFunctions (State ToOpenCL)
addSize :: Name -> SizeClass -> OnKernelM ()
addSize key sclass =
modify $ \s -> s {clSizes = M.insert key sclass $ clSizes s}
onHostOp :: KernelTarget -> HostOp -> OnKernelM OpenCL
onHostOp target (CallKernel k) = onKernel target k
onHostOp _ (ImpKernels.GetSize v key size_class) = do
addSize key size_class
return $ ImpOpenCL.GetSize v key
onHostOp _ (ImpKernels.CmpSizeLe v key size_class x) = do
addSize key size_class
return $ ImpOpenCL.CmpSizeLe v key x
onHostOp _ (ImpKernels.GetSizeMax v size_class) =
return $ ImpOpenCL.GetSizeMax v size_class
genGPUCode ::
OpsMode ->
KernelCode ->
[FailureMsg] ->
GC.CompilerM KernelOp KernelState a ->
(a, GC.CompilerState KernelState)
genGPUCode mode body failures =
GC.runCompilerM
(inKernelOperations mode body)
blankNameSource
(newKernelState failures)
-- Compilation of a device function that is not not invoked from the
-- host, but is invoked by (perhaps multiple) kernels.
generateDeviceFun :: Name -> ImpKernels.Function -> OnKernelM ()
generateDeviceFun fname host_func = do
-- Functions are a priori always considered host-level, so we have
-- to convert them to device code. This is where most of our
-- limitations on device-side functions (no arrays, no parallelism)
-- comes from.
let device_func = fmap toDevice host_func
when (any memParam $ functionInput host_func) bad
failures <- gets clFailures
let params =
[ [C.cparam|__global int *global_failure|],
[C.cparam|__global typename int64_t *global_failure_args|]
]
(func, cstate) =
genGPUCode FunMode (functionBody device_func) failures $
GC.compileFun mempty params (fname, device_func)
kstate = GC.compUserState cstate
modify $ \s ->
s
{ clUsedTypes = typesInCode (functionBody device_func) <> clUsedTypes s,
clDevFuns = M.insert fname func $ clDevFuns s,
clFailures = kernelFailures kstate
}
-- Important to do this after the 'modify' call, so we propagate the
-- right clFailures.
void $ ensureDeviceFuns $ functionBody device_func
where
toDevice :: HostOp -> KernelOp
toDevice _ = bad
memParam MemParam {} = True
memParam ScalarParam {} = False
bad = compilerLimitationS "Cannot generate GPU functions that use arrays."
-- Ensure that this device function is available, but don't regenerate
-- it if it already exists.
ensureDeviceFun :: Name -> ImpKernels.Function -> OnKernelM ()
ensureDeviceFun fname host_func = do
exists <- gets $ M.member fname . clDevFuns
unless exists $ generateDeviceFun fname host_func
ensureDeviceFuns :: ImpKernels.KernelCode -> OnKernelM [Name]
ensureDeviceFuns code = do
let called = calledFuncs code
fmap catMaybes $
forM (S.toList called) $ \fname -> do
def <- asks $ lookupFunction fname
case def of
Just func -> do
ensureDeviceFun fname func
return $ Just fname
Nothing -> return Nothing
onKernel :: KernelTarget -> Kernel -> OnKernelM OpenCL
onKernel target kernel = do
called <- ensureDeviceFuns $ kernelBody kernel
-- Crucial that this is done after 'ensureDeviceFuns', as the device
-- functions may themselves define failure points.
failures <- gets clFailures
let (kernel_body, cstate) =
genGPUCode KernelMode (kernelBody kernel) failures $
GC.blockScope $ GC.compileCode $ kernelBody kernel
kstate = GC.compUserState cstate
use_params = mapMaybe useAsParam $ kernelUses kernel
(local_memory_args, local_memory_params, local_memory_init) =
unzip3 $
flip evalState (blankNameSource :: VNameSource) $
mapM (prepareLocalMemory target) $ kernelLocalMemory kstate
-- CUDA has very strict restrictions on the number of blocks
-- permitted along the 'y' and 'z' dimensions of the grid
-- (1<<16). To work around this, we are going to dynamically
-- permute the block dimensions to move the largest one to the
-- 'x' dimension, which has a higher limit (1<<31). This means
-- we need to extend the kernel with extra parameters that
-- contain information about this permutation, but we only do
-- this for multidimensional kernels (at the time of this
-- writing, only transposes). The corresponding arguments are
-- added automatically in CCUDA.hs.
(perm_params, block_dim_init) =
case (target, num_groups) of
(TargetCUDA, [_, _, _]) ->
( [ [C.cparam|const int block_dim0|],
[C.cparam|const int block_dim1|],
[C.cparam|const int block_dim2|]
],
mempty
)
_ ->
( mempty,
[ [C.citem|const int block_dim0 = 0;|],
[C.citem|const int block_dim1 = 1;|],
[C.citem|const int block_dim2 = 2;|]
]
)
(const_defs, const_undefs) = unzip $ mapMaybe constDef $ kernelUses kernel
let (safety, error_init)
-- We conservatively assume that any called function can fail.
| not $ null called =
(SafetyFull, [])
| length (kernelFailures kstate) == length failures =
if kernelFailureTolerant kernel
then (SafetyNone, [])
else -- No possible failures in this kernel, so if we make
-- it past an initial check, then we are good to go.
( SafetyCheap,
[C.citems|if (*global_failure >= 0) { return; }|]
)
| otherwise =
if not (kernelHasBarriers kstate)
then
( SafetyFull,
[C.citems|if (*global_failure >= 0) { return; }|]
)
else
( SafetyFull,
[C.citems|
volatile __local bool local_failure;
if (failure_is_an_option) {
int failed = *global_failure >= 0;
if (failed) {
return;
}
}
// All threads write this value - it looks like CUDA has a compiler bug otherwise.
local_failure = false;
barrier(CLK_LOCAL_MEM_FENCE);
|]
)
failure_params =
[ [C.cparam|__global int *global_failure|],
[C.cparam|int failure_is_an_option|],
[C.cparam|__global typename int64_t *global_failure_args|]
]
params =
perm_params
++ take (numFailureParams safety) failure_params
++ catMaybes local_memory_params
++ use_params
kernel_fun =
[C.cfun|__kernel void $id:name ($params:params) {
$items:const_defs
$items:block_dim_init
$items:local_memory_init
$items:error_init
$items:kernel_body
$id:(errorLabel kstate): return;
$items:const_undefs
}|]
modify $ \s ->
s
{ clKernels = M.insert name (safety, kernel_fun) $ clKernels s,
clUsedTypes = typesInKernel kernel <> clUsedTypes s,
clFailures = kernelFailures kstate
}
-- The argument corresponding to the global_failure parameters is
-- added automatically later.
let args =
catMaybes local_memory_args
++ kernelArgs kernel
return $ LaunchKernel safety name args num_groups group_size
where
name = kernelName kernel
num_groups = kernelNumGroups kernel
group_size = kernelGroupSize kernel
prepareLocalMemory TargetOpenCL (mem, size) = do
mem_aligned <- newVName $ baseString mem ++ "_aligned"
return
( Just $ SharedMemoryKArg size,
Just [C.cparam|__local volatile typename int64_t* $id:mem_aligned|],
[C.citem|__local volatile char* restrict $id:mem = (__local volatile char*)$id:mem_aligned;|]
)
prepareLocalMemory TargetCUDA (mem, size) = do
param <- newVName $ baseString mem ++ "_offset"
return
( Just $ SharedMemoryKArg size,
Just [C.cparam|uint $id:param|],
[C.citem|volatile char *$id:mem = &shared_mem[$id:param];|]
)
useAsParam :: KernelUse -> Maybe C.Param
useAsParam (ScalarUse name bt) =
let ctp = case bt of
-- OpenCL does not permit bool as a kernel parameter type.
Bool -> [C.cty|unsigned char|]
Unit -> [C.cty|unsigned char|]
_ -> GC.primTypeToCType bt
in Just [C.cparam|$ty:ctp $id:name|]
useAsParam (MemoryUse name) =
Just [C.cparam|__global unsigned char *$id:name|]
useAsParam ConstUse {} =
Nothing
-- Constants are #defined as macros. Since a constant name in one
-- kernel might potentially (although unlikely) also be used for
-- something else in another kernel, we #undef them after the kernel.
constDef :: KernelUse -> Maybe (C.BlockItem, C.BlockItem)
constDef (ConstUse v e) =
Just
( [C.citem|$escstm:def|],
[C.citem|$escstm:undef|]
)
where
e' = compilePrimExp e
def = "#define " ++ pretty (C.toIdent v mempty) ++ " (" ++ prettyOneLine e' ++ ")"
undef = "#undef " ++ pretty (C.toIdent v mempty)
constDef _ = Nothing
openClCode :: [C.Func] -> String
openClCode kernels =
pretty [C.cunit|$edecls:funcs|]
where
funcs =
[ [C.cedecl|$func:kernel_func|]
| kernel_func <- kernels
]
atomicsDefs :: String
atomicsDefs = $(embedStringFile "rts/c/atomics.h")
genOpenClPrelude :: S.Set PrimType -> [C.Definition]
genOpenClPrelude ts =
-- Clang-based OpenCL implementations need this for 'static' to work.
[ [C.cedecl|$esc:("#ifdef cl_clang_storage_class_specifiers")|],
[C.cedecl|$esc:("#pragma OPENCL EXTENSION cl_clang_storage_class_specifiers : enable")|],
[C.cedecl|$esc:("#endif")|],
[C.cedecl|$esc:("#pragma OPENCL EXTENSION cl_khr_byte_addressable_store : enable")|]
]
++ concat
[ [C.cunit|$esc:("#pragma OPENCL EXTENSION cl_khr_fp64 : enable")
$esc:("#define FUTHARK_F64_ENABLED")|]
| uses_float64
]
++ [C.cunit|
/* Some OpenCL programs dislike empty progams, or programs with no kernels.
* Declare a dummy kernel to ensure they remain our friends. */
__kernel void dummy_kernel(__global unsigned char *dummy, int n)
{
const int thread_gid = get_global_id(0);
if (thread_gid >= n) return;
}
$esc:("#pragma OPENCL EXTENSION cl_khr_int64_base_atomics : enable")
$esc:("#pragma OPENCL EXTENSION cl_khr_int64_extended_atomics : enable")
typedef char int8_t;
typedef short int16_t;
typedef int int32_t;
typedef long int64_t;
typedef uchar uint8_t;
typedef ushort uint16_t;
typedef uint uint32_t;
typedef ulong uint64_t;
// NVIDIAs OpenCL does not create device-wide memory fences (see #734), so we
// use inline assembly if we detect we are on an NVIDIA GPU.
$esc:("#ifdef cl_nv_pragma_unroll")
static inline void mem_fence_global() {
asm("membar.gl;");
}
$esc:("#else")
static inline void mem_fence_global() {
mem_fence(CLK_LOCAL_MEM_FENCE | CLK_GLOBAL_MEM_FENCE);
}
$esc:("#endif")
static inline void mem_fence_local() {
mem_fence(CLK_LOCAL_MEM_FENCE);
}
|]
++ cIntOps
++ cFloat32Ops
++ cFloat32Funs
++ (if uses_float64 then cFloat64Ops ++ cFloat64Funs ++ cFloatConvOps else [])
++ [[C.cedecl|$esc:atomicsDefs|]]
where
uses_float64 = FloatType Float64 `S.member` ts
genCUDAPrelude :: [C.Definition]
genCUDAPrelude =
cudafy ++ ops
where
ops =
cIntOps ++ cFloat32Ops ++ cFloat32Funs ++ cFloat64Ops
++ cFloat64Funs
++ cFloatConvOps
++ [[C.cedecl|$esc:atomicsDefs|]]
cudafy =
[CUDAC.cunit|
$esc:("#define FUTHARK_CUDA")
$esc:("#define FUTHARK_F64_ENABLED")
typedef char int8_t;
typedef short int16_t;
typedef int int32_t;
typedef long long int64_t;
typedef unsigned char uint8_t;
typedef unsigned short uint16_t;
typedef unsigned int uint32_t;
typedef unsigned long long uint64_t;
typedef uint8_t uchar;
typedef uint16_t ushort;
typedef uint32_t uint;
typedef uint64_t ulong;
$esc:("#define __kernel extern \"C\" __global__ __launch_bounds__(MAX_THREADS_PER_BLOCK)")
$esc:("#define __global")
$esc:("#define __local")
$esc:("#define __private")
$esc:("#define __constant")
$esc:("#define __write_only")
$esc:("#define __read_only")
static inline int get_group_id_fn(int block_dim0, int block_dim1, int block_dim2, int d)
{
switch (d) {
case 0: d = block_dim0; break;
case 1: d = block_dim1; break;
case 2: d = block_dim2; break;
}
switch (d) {
case 0: return blockIdx.x;
case 1: return blockIdx.y;
case 2: return blockIdx.z;
default: return 0;
}
}
$esc:("#define get_group_id(d) get_group_id_fn(block_dim0, block_dim1, block_dim2, d)")
static inline int get_num_groups_fn(int block_dim0, int block_dim1, int block_dim2, int d)
{
switch (d) {
case 0: d = block_dim0; break;
case 1: d = block_dim1; break;
case 2: d = block_dim2; break;
}
switch(d) {
case 0: return gridDim.x;
case 1: return gridDim.y;
case 2: return gridDim.z;
default: return 0;
}
}
$esc:("#define get_num_groups(d) get_num_groups_fn(block_dim0, block_dim1, block_dim2, d)")
static inline int get_local_id(int d)
{
switch (d) {
case 0: return threadIdx.x;
case 1: return threadIdx.y;
case 2: return threadIdx.z;
default: return 0;
}
}
static inline int get_local_size(int d)
{
switch (d) {
case 0: return blockDim.x;
case 1: return blockDim.y;
case 2: return blockDim.z;
default: return 0;
}
}
static inline int get_global_id_fn(int block_dim0, int block_dim1, int block_dim2, int d)
{
return get_group_id(d) * get_local_size(d) + get_local_id(d);
}
$esc:("#define get_global_id(d) get_global_id_fn(block_dim0, block_dim1, block_dim2, d)")
static inline int get_global_size(int block_dim0, int block_dim1, int block_dim2, int d)
{
return get_num_groups(d) * get_local_size(d);
}
$esc:("#define CLK_LOCAL_MEM_FENCE 1")
$esc:("#define CLK_GLOBAL_MEM_FENCE 2")
static inline void barrier(int x)
{
__syncthreads();
}
static inline void mem_fence_local() {
__threadfence_block();
}
static inline void mem_fence_global() {
__threadfence();
}
$esc:("#define NAN (0.0/0.0)")
$esc:("#define INFINITY (1.0/0.0)")
extern volatile __shared__ char shared_mem[];
|]
compilePrimExp :: PrimExp KernelConst -> C.Exp
compilePrimExp e = runIdentity $ GC.compilePrimExp compileKernelConst e
where
compileKernelConst (SizeConst key) =
return [C.cexp|$id:(zEncodeString (pretty key))|]
kernelArgs :: Kernel -> [KernelArg]
kernelArgs = mapMaybe useToArg . kernelUses
where
useToArg (MemoryUse mem) = Just $ MemKArg mem
useToArg (ScalarUse v bt) = Just $ ValueKArg (LeafExp (ScalarVar v) bt) bt
useToArg ConstUse {} = Nothing
nextErrorLabel :: GC.CompilerM KernelOp KernelState String
nextErrorLabel =
errorLabel <$> GC.getUserState
incErrorLabel :: GC.CompilerM KernelOp KernelState ()
incErrorLabel =
GC.modifyUserState $ \s -> s {kernelNextSync = kernelNextSync s + 1}
pendingError :: Bool -> GC.CompilerM KernelOp KernelState ()
pendingError b =
GC.modifyUserState $ \s -> s {kernelSyncPending = b}
hasCommunication :: ImpKernels.KernelCode -> Bool
hasCommunication = any communicates
where
communicates ErrorSync {} = True
communicates Barrier {} = True
communicates _ = False
-- Whether we are generating code for a kernel or a device function.
-- This has minor effects, such as exactly how failures are
-- propagated.
data OpsMode = KernelMode | FunMode deriving (Eq)
inKernelOperations ::
OpsMode ->
ImpKernels.KernelCode ->
GC.Operations KernelOp KernelState
inKernelOperations mode body =
GC.Operations
{ GC.opsCompiler = kernelOps,
GC.opsMemoryType = kernelMemoryType,
GC.opsWriteScalar = kernelWriteScalar,
GC.opsReadScalar = kernelReadScalar,
GC.opsAllocate = cannotAllocate,
GC.opsDeallocate = cannotDeallocate,
GC.opsCopy = copyInKernel,
GC.opsStaticArray = noStaticArrays,
GC.opsFatMemory = False,
GC.opsError = errorInKernel,
GC.opsCall = callInKernel,
GC.opsCritical = mempty
}
where
has_communication = hasCommunication body
fence FenceLocal = [C.cexp|CLK_LOCAL_MEM_FENCE|]
fence FenceGlobal = [C.cexp|CLK_GLOBAL_MEM_FENCE | CLK_LOCAL_MEM_FENCE|]
kernelOps :: GC.OpCompiler KernelOp KernelState
kernelOps (GetGroupId v i) =
GC.stm [C.cstm|$id:v = get_group_id($int:i);|]
kernelOps (GetLocalId v i) =
GC.stm [C.cstm|$id:v = get_local_id($int:i);|]
kernelOps (GetLocalSize v i) =
GC.stm [C.cstm|$id:v = get_local_size($int:i);|]
kernelOps (GetGlobalId v i) =
GC.stm [C.cstm|$id:v = get_global_id($int:i);|]
kernelOps (GetGlobalSize v i) =
GC.stm [C.cstm|$id:v = get_global_size($int:i);|]
kernelOps (GetLockstepWidth v) =
GC.stm [C.cstm|$id:v = LOCKSTEP_WIDTH;|]
kernelOps (Barrier f) = do
GC.stm [C.cstm|barrier($exp:(fence f));|]
GC.modifyUserState $ \s -> s {kernelHasBarriers = True}
kernelOps (MemFence FenceLocal) =
GC.stm [C.cstm|mem_fence_local();|]
kernelOps (MemFence FenceGlobal) =
GC.stm [C.cstm|mem_fence_global();|]
kernelOps (LocalAlloc name size) = do
name' <- newVName $ pretty name ++ "_backing"
GC.modifyUserState $ \s ->
s {kernelLocalMemory = (name', fmap untyped size) : kernelLocalMemory s}
GC.stm [C.cstm|$id:name = (__local char*) $id:name';|]
kernelOps (ErrorSync f) = do
label <- nextErrorLabel
pending <- kernelSyncPending <$> GC.getUserState
when pending $ do
pendingError False
GC.stm [C.cstm|$id:label: barrier($exp:(fence f));|]
GC.stm [C.cstm|if (local_failure) { return; }|]
GC.stm [C.cstm|barrier(CLK_LOCAL_MEM_FENCE);|] -- intentional
GC.modifyUserState $ \s -> s {kernelHasBarriers = True}
incErrorLabel
kernelOps (Atomic space aop) = atomicOps space aop
atomicCast s t = do
let volatile = [C.ctyquals|volatile|]
quals <- case s of
Space sid -> pointerQuals sid
_ -> pointerQuals "global"
return [C.cty|$tyquals:(volatile++quals) $ty:t|]
atomicSpace (Space sid) = sid
atomicSpace _ = "global"
doAtomic s t old arr ind val op ty = do
ind' <- GC.compileExp $ untyped $ unCount ind
val' <- GC.compileExp val
cast <- atomicCast s ty
GC.stm [C.cstm|$id:old = $id:op'(&(($ty:cast *)$id:arr)[$exp:ind'], ($ty:ty) $exp:val');|]
where
op' = op ++ "_" ++ pretty t ++ "_" ++ atomicSpace s
doAtomicCmpXchg s t old arr ind cmp val ty = do
ind' <- GC.compileExp $ untyped $ unCount ind
cmp' <- GC.compileExp cmp
val' <- GC.compileExp val
cast <- atomicCast s ty
GC.stm [C.cstm|$id:old = $id:op(&(($ty:cast *)$id:arr)[$exp:ind'], $exp:cmp', $exp:val');|]
where
op = "atomic_cmpxchg_" ++ pretty t ++ "_" ++ atomicSpace s
doAtomicXchg s t old arr ind val ty = do
cast <- atomicCast s ty
ind' <- GC.compileExp $ untyped $ unCount ind
val' <- GC.compileExp val
GC.stm [C.cstm|$id:old = $id:op(&(($ty:cast *)$id:arr)[$exp:ind'], $exp:val');|]
where
op = "atomic_chg_" ++ pretty t ++ "_" ++ atomicSpace s
-- First the 64-bit operations.
atomicOps s (AtomicAdd Int64 old arr ind val) =
doAtomic s Int64 old arr ind val "atomic_add" [C.cty|typename int64_t|]
atomicOps s (AtomicFAdd Float64 old arr ind val) =
doAtomic s Float64 old arr ind val "atomic_fadd" [C.cty|double|]
atomicOps s (AtomicSMax Int64 old arr ind val) =
doAtomic s Int64 old arr ind val "atomic_smax" [C.cty|typename int64_t|]
atomicOps s (AtomicSMin Int64 old arr ind val) =
doAtomic s Int64 old arr ind val "atomic_smin" [C.cty|typename int64_t|]
atomicOps s (AtomicUMax Int64 old arr ind val) =
doAtomic s Int64 old arr ind val "atomic_umax" [C.cty|unsigned int64_t|]
atomicOps s (AtomicUMin Int64 old arr ind val) =
doAtomic s Int64 old arr ind val "atomic_umin" [C.cty|unsigned int64_t|]
atomicOps s (AtomicAnd Int64 old arr ind val) =
doAtomic s Int64 old arr ind val "atomic_and" [C.cty|typename int64_t|]
atomicOps s (AtomicOr Int64 old arr ind val) =
doAtomic s Int64 old arr ind val "atomic_or" [C.cty|typename int64_t|]
atomicOps s (AtomicXor Int64 old arr ind val) =
doAtomic s Int64 old arr ind val "atomic_xor" [C.cty|typename int64_t|]
atomicOps s (AtomicCmpXchg (IntType Int64) old arr ind cmp val) =
doAtomicCmpXchg s (IntType Int64) old arr ind cmp val [C.cty|typename int64_t|]
atomicOps s (AtomicXchg (IntType Int64) old arr ind val) =
doAtomicXchg s (IntType Int64) old arr ind val [C.cty|typename int64_t|]
--
atomicOps s (AtomicAdd t old arr ind val) =
doAtomic s t old arr ind val "atomic_add" [C.cty|int|]
atomicOps s (AtomicFAdd Float32 old arr ind val) =
doAtomic s Float32 old arr ind val "atomic_fadd" [C.cty|float|]
atomicOps s (AtomicSMax t old arr ind val) =
doAtomic s t old arr ind val "atomic_smax" [C.cty|int|]
atomicOps s (AtomicSMin t old arr ind val) =
doAtomic s t old arr ind val "atomic_smin" [C.cty|int|]
atomicOps s (AtomicUMax t old arr ind val) =
doAtomic s t old arr ind val "atomic_umax" [C.cty|unsigned int|]
atomicOps s (AtomicUMin t old arr ind val) =
doAtomic s t old arr ind val "atomic_umin" [C.cty|unsigned int|]
atomicOps s (AtomicAnd t old arr ind val) =
doAtomic s t old arr ind val "atomic_and" [C.cty|int|]
atomicOps s (AtomicOr t old arr ind val) =
doAtomic s t old arr ind val "atomic_or" [C.cty|int|]
atomicOps s (AtomicXor t old arr ind val) =
doAtomic s t old arr ind val "atomic_xor" [C.cty|int|]
atomicOps s (AtomicCmpXchg t old arr ind cmp val) =
doAtomicCmpXchg s t old arr ind cmp val [C.cty|int|]
atomicOps s (AtomicXchg t old arr ind val) =
doAtomicXchg s t old arr ind val [C.cty|int|]
cannotAllocate :: GC.Allocate KernelOp KernelState
cannotAllocate _ =
error "Cannot allocate memory in kernel"
cannotDeallocate :: GC.Deallocate KernelOp KernelState
cannotDeallocate _ _ =
error "Cannot deallocate memory in kernel"
copyInKernel :: GC.Copy KernelOp KernelState
copyInKernel _ _ _ _ _ _ _ =
error "Cannot bulk copy in kernel."
noStaticArrays :: GC.StaticArray KernelOp KernelState
noStaticArrays _ _ _ _ =
error "Cannot create static array in kernel."
kernelMemoryType space = do
quals <- pointerQuals space
return [C.cty|$tyquals:quals $ty:defaultMemBlockType|]
kernelWriteScalar =
GC.writeScalarPointerWithQuals pointerQuals
kernelReadScalar =
GC.readScalarPointerWithQuals pointerQuals
whatNext = do
label <- nextErrorLabel
pendingError True
return $
if has_communication
then [C.citems|local_failure = true; goto $id:label;|]
else
if mode == FunMode
then [C.citems|return 1;|]
else [C.citems|return;|]
callInKernel dests fname args
| isBuiltInFunction fname =
GC.opsCall GC.defaultOperations dests fname args
| otherwise = do
let out_args = [[C.cexp|&$id:d|] | d <- dests]
args' =
[C.cexp|global_failure|] :
[C.cexp|global_failure_args|] :
out_args ++ args
what_next <- whatNext
GC.item [C.citem|if ($id:(funName fname)($args:args') != 0) { $items:what_next; }|]
errorInKernel msg@(ErrorMsg parts) backtrace = do
n <- length . kernelFailures <$> GC.getUserState
GC.modifyUserState $ \s ->
s {kernelFailures = kernelFailures s ++ [FailureMsg msg backtrace]}
let setArgs _ [] = return []
setArgs i (ErrorString {} : parts') = setArgs i parts'
setArgs i (ErrorInt32 x : parts') = do
x' <- GC.compileExp x
stms <- setArgs (i + 1) parts'
return $ [C.cstm|global_failure_args[$int:i] = (typename int64_t)$exp:x';|] : stms
setArgs i (ErrorInt64 x : parts') = do
x' <- GC.compileExp x
stms <- setArgs (i + 1) parts'
return $ [C.cstm|global_failure_args[$int:i] = $exp:x';|] : stms
argstms <- setArgs (0 :: Int) parts
what_next <- whatNext
GC.stm
[C.cstm|{ if (atomic_cmpxchg_i32_global(global_failure, -1, $int:n) == -1)
{ $stms:argstms; }
$items:what_next
}|]
--- Checking requirements
typesInKernel :: Kernel -> S.Set PrimType
typesInKernel kernel = typesInCode $ kernelBody kernel
typesInCode :: ImpKernels.KernelCode -> S.Set PrimType
typesInCode Skip = mempty
typesInCode (c1 :>>: c2) = typesInCode c1 <> typesInCode c2
typesInCode (For _ e c) = typesInExp e <> typesInCode c
typesInCode (While (TPrimExp e) c) = typesInExp e <> typesInCode c
typesInCode DeclareMem {} = mempty
typesInCode (DeclareScalar _ _ t) = S.singleton t
typesInCode (DeclareArray _ _ t _) = S.singleton t
typesInCode (Allocate _ (Count (TPrimExp e)) _) = typesInExp e
typesInCode Free {} = mempty
typesInCode
( Copy
_
(Count (TPrimExp e1))
_
_
(Count (TPrimExp e2))
_
(Count (TPrimExp e3))
) =
typesInExp e1 <> typesInExp e2 <> typesInExp e3
typesInCode (Write _ (Count (TPrimExp e1)) t _ _ e2) =
typesInExp e1 <> S.singleton t <> typesInExp e2
typesInCode (SetScalar _ e) = typesInExp e
typesInCode SetMem {} = mempty
typesInCode (Call _ _ es) = mconcat $ map typesInArg es
where
typesInArg MemArg {} = mempty
typesInArg (ExpArg e) = typesInExp e
typesInCode (If (TPrimExp e) c1 c2) =
typesInExp e <> typesInCode c1 <> typesInCode c2
typesInCode (Assert e _ _) = typesInExp e
typesInCode (Comment _ c) = typesInCode c
typesInCode (DebugPrint _ v) = maybe mempty typesInExp v
typesInCode Op {} = mempty
typesInExp :: Exp -> S.Set PrimType
typesInExp (ValueExp v) = S.singleton $ primValueType v
typesInExp (BinOpExp _ e1 e2) = typesInExp e1 <> typesInExp e2
typesInExp (CmpOpExp _ e1 e2) = typesInExp e1 <> typesInExp e2
typesInExp (ConvOpExp op e) = S.fromList [from, to] <> typesInExp e
where
(from, to) = convOpType op
typesInExp (UnOpExp _ e) = typesInExp e
typesInExp (FunExp _ args t) = S.singleton t <> mconcat (map typesInExp args)
typesInExp (LeafExp (Index _ (Count (TPrimExp e)) t _ _) _) = S.singleton t <> typesInExp e
typesInExp (LeafExp ScalarVar {} _) = mempty