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amdgcn: Enable OpenACC worker partitioning for AMD GCN
gcc/ * config/gcn/gcn.c (gcn_init_builtins): Override decls for BUILT_IN_GOACC_SINGLE_START, BUILT_IN_GOACC_SINGLE_COPY_START, BUILT_IN_GOACC_SINGLE_COPY_END and BUILT_IN_GOACC_BARRIER. (gcn_goacc_validate_dims): Turn on worker partitioning unconditionally. (gcn_fork_join): Update comment. * config/gcn/gcn.opt (flag_worker_partitioning): Remove. (macc_experimental_workers): Remove unused option. libgomp/ * plugin/plugin-gcn.c (gcn_exec): Change default number of workers to 16. * testsuite/libgomp.oacc-c-c++-common/acc_prof-kernels-1.c [acc_device_radeon]: Update. * testsuite/libgomp.oacc-c-c++-common/loop-dim-default.c [ACC_DEVICE_TYPE_radeon]: Likewise. * testsuite/libgomp.oacc-c-c++-common/parallel-dims.c [acc_device_radeon]: Likewise. * testsuite/libgomp.oacc-c-c++-common/routine-wv-2.c [ACC_DEVICE_TYPE_radeon]: Likewise. * testsuite/libgomp.oacc-fortran/optional-reduction.f90: XFAIL for 'openacc_radeon_accel_selected' and '-O0'. * testsuite/libgomp.oacc-fortran/reduction-7.f90: Likewise. Co-Authored-By: Kwok Cheung Yeung <kcy@codesourcery.com> Co-Authored-By: Thomas Schwinge <thomas@codesourcery.com>
This commit is contained in:
Julian Brown
committed by
Thomas Schwinge
Thomas Schwinge
parent
e2a58ed6dc
commit
c408512e1f
@@ -3712,8 +3712,6 @@ gcn_init_builtins (void)
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TREE_NOTHROW (gcn_builtin_decls[i]) = 1;
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}
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/* FIXME: remove the ifdef once OpenACC support is merged upstream. */
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#ifdef BUILT_IN_GOACC_SINGLE_START
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/* These builtins need to take/return an LDS pointer: override the generic
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versions here. */
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@@ -3730,7 +3728,6 @@ gcn_init_builtins (void)
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set_builtin_decl (BUILT_IN_GOACC_BARRIER,
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gcn_builtin_decls[GCN_BUILTIN_ACC_BARRIER], false);
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#endif
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}
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/* Implement TARGET_INIT_LIBFUNCS. */
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@@ -5019,11 +5016,7 @@ gcn_goacc_validate_dims (tree decl, int dims[], int fn_level,
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unsigned /*used*/)
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{
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bool changed = false;
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/* FIXME: remove -facc-experimental-workers when they're ready. */
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int max_workers = flag_worker_partitioning ? 16 : 1;
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gcc_assert (!flag_worker_partitioning);
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const int max_workers = 16;
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/* The vector size must appear to be 64, to the user, unless this is a
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SEQ routine. The real, internal value is always 1, which means use
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@@ -5060,8 +5053,7 @@ gcn_goacc_validate_dims (tree decl, int dims[], int fn_level,
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{
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dims[GOMP_DIM_VECTOR] = GCN_DEFAULT_VECTORS;
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if (dims[GOMP_DIM_WORKER] < 0)
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dims[GOMP_DIM_WORKER] = (flag_worker_partitioning
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? GCN_DEFAULT_WORKERS : 1);
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dims[GOMP_DIM_WORKER] = GCN_DEFAULT_WORKERS;
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if (dims[GOMP_DIM_GANG] < 0)
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dims[GOMP_DIM_GANG] = GCN_DEFAULT_GANGS;
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changed = true;
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@@ -5126,8 +5118,7 @@ static bool
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gcn_fork_join (gcall *ARG_UNUSED (call), const int *ARG_UNUSED (dims),
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bool ARG_UNUSED (is_fork))
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{
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/* GCN does not use the fork/join concept invented for NVPTX.
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Instead we use standard autovectorization. */
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/* GCN does not need to expand fork/join markers at the RTL level. */
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return false;
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}
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@@ -62,11 +62,6 @@ bool flag_bypass_init_error = false
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mbypass-init-error
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Target RejectNegative Var(flag_bypass_init_error)
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bool flag_worker_partitioning = false
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macc-experimental-workers
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Target Var(flag_worker_partitioning) Init(0)
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int stack_size_opt = -1
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mstack-size=
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@@ -3038,8 +3038,7 @@ gcn_exec (struct kernel_info *kernel, size_t mapnum, void **hostaddrs,
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64 gangs matches a typical Fiji device. */
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if (dims[0] == 0) dims[0] = get_cu_count (kernel->agent); /* Gangs. */
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/* NOTE: Until support for middle-end worker partitioning is merged, force 'num_workers (1)'. */
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if (/*TODO dims[1] == 0*/ true) dims[1] = 1; /* Workers. */
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if (dims[1] == 0) dims[1] = 16; /* Workers. */
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/* The incoming dimensions are expressed in terms of gangs, workers, and
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vectors. The HSA dimensions are expressed in terms of "work-items",
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@@ -93,9 +93,6 @@ static void cb_enqueue_launch_start (acc_prof_info *prof_info, acc_event_info *e
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}
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if (num_workers < 1)
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assert (event_info->launch_event.num_workers >= 1);
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/* GCN currently enforces 'num_workers (1)'. */
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else if (acc_device_type == acc_device_radeon)
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assert (event_info->launch_event.num_workers == 1);
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else
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{
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#ifdef __OPTIMIZE__
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@@ -132,9 +132,7 @@ int main ()
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/* AMD GCN uses the autovectorizer for the vector dimension: the use
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of a function call in vector-partitioned code in this test is not
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currently supported. */
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/* AMD GCN does not currently support multiple workers. This should be
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set to 16 when that changes. */
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return test_1 (16, 1, 1);
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return test_1 (16, 16, 1);
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#else
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return test_1 (16, 16, 32);
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#endif
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@@ -261,9 +261,8 @@ int main ()
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}
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else if (acc_on_device (acc_device_radeon))
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{
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/* The GCC GCN back end is limited to num_workers (16).
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Temporarily set this to 1 until multiple workers are permitted. */
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workers_actual = 1; // 16;
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/* The GCC GCN back end is limited to num_workers (16). */
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workers_actual = 16;
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}
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else
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__builtin_abort ();
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@@ -313,9 +312,8 @@ int main ()
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}
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else if (acc_on_device (acc_device_radeon))
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{
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/* The GCC GCN back end is limited to num_workers (16).
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Temporarily set this to 1 until multiple workers are permitted. */
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workers_actual = 1; // 16;
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/* The GCC GCN back end is limited to num_workers (16). */
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workers_actual = 16;
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}
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else
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__builtin_abort ();
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@@ -465,8 +463,6 @@ int main ()
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}
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else if (acc_on_device (acc_device_radeon))
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{
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/* Temporary setting, until multiple workers are permitted. */
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workers_actual = 1;
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/* See above comments about GCN vectors_actual. */
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vectors_actual = 1;
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}
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@@ -5,12 +5,13 @@
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#include <openacc.h>
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#include <gomp-constants.h>
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#define NUM_WORKERS 16
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#ifdef ACC_DEVICE_TYPE_radeon
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/* Temporarily set this to 1 until multiple workers are permitted. */
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#define NUM_WORKERS 1
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/* AMD GCN uses the autovectorizer for the vector dimension: the use
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of a function call in vector-partitioned code in this test is not
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currently supported. */
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#define NUM_VECTORS 1
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#else
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#define NUM_WORKERS 16
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#define NUM_VECTORS 32
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#endif
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#define WIDTH 64
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@@ -4,6 +4,9 @@
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! { dg-do run }
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!TODO
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! { dg-xfail-run-if TODO { openacc_radeon_accel_selected && { ! __OPTIMIZE__ } } }
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program optional_reduction
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implicit none
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@@ -1,5 +1,8 @@
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! { dg-do run }
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!TODO
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! { dg-xfail-run-if TODO { openacc_radeon_accel_selected && { ! __OPTIMIZE__ } } }
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! subroutine reduction with private and firstprivate variables
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program reduction
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