[Openmp-commits] [openmp] e5da63d - [OpenMP] Fixed a crash when offloading to x86_64 with target nowait
Shilei Tian via Openmp-commits
openmp-commits at lists.llvm.org
Wed Feb 24 09:37:38 PST 2021
Author: Shilei Tian
Date: 2021-02-24T12:37:30-05:00
New Revision: e5da63d5a9ede1fb6d8aa18cfd44533ead128738
URL: https://github.com/llvm/llvm-project/commit/e5da63d5a9ede1fb6d8aa18cfd44533ead128738
DIFF: https://github.com/llvm/llvm-project/commit/e5da63d5a9ede1fb6d8aa18cfd44533ead128738.diff
LOG: [OpenMP] Fixed a crash when offloading to x86_64 with target nowait
PR#49334 reports a crash when offloading to x86_64 with `target nowait`,
which is caused by referencing a nullptr. The root cause of the issue is, when
pushing a hidden helper task in `__kmp_push_task`, it also maps the gtid to its
shadow gtid, which is wrong.
Reviewed By: jdoerfert
Differential Revision: https://reviews.llvm.org/D97329
Added:
openmp/libomptarget/test/offloading/bug49334.cpp
Modified:
openmp/runtime/src/kmp_tasking.cpp
Removed:
################################################################################
diff --git a/openmp/libomptarget/test/offloading/bug49334.cpp b/openmp/libomptarget/test/offloading/bug49334.cpp
new file mode 100644
index 000000000000..b26cd7b2b338
--- /dev/null
+++ b/openmp/libomptarget/test/offloading/bug49334.cpp
@@ -0,0 +1,148 @@
+// RUN: %libomptarget-compilexx-run-and-check-aarch64-unknown-linux-gnu
+// RUN: %libomptarget-compilexx-run-and-check-powerpc64-ibm-linux-gnu
+// RUN: %libomptarget-compilexx-run-and-check-powerpc64le-ibm-linux-gnu
+// RUN: %libomptarget-compilexx-run-and-check-x86_64-pc-linux-gnu
+// RUN: %libomptarget-compilexx-run-and-check-nvptx64-nvidia-cuda
+
+#include <cassert>
+#include <iostream>
+#include <memory>
+#include <vector>
+
+class BlockMatrix {
+private:
+ const int rowsPerBlock;
+ const int colsPerBlock;
+ const long nRows;
+ const long nCols;
+ const int nBlocksPerRow;
+ const int nBlocksPerCol;
+ std::vector<std::vector<std::unique_ptr<float[]>>> Blocks;
+
+public:
+ BlockMatrix(const int _rowsPerBlock, const int _colsPerBlock,
+ const long _nRows, const long _nCols)
+ : rowsPerBlock(_rowsPerBlock), colsPerBlock(_colsPerBlock), nRows(_nRows),
+ nCols(_nCols), nBlocksPerRow(_nRows / _rowsPerBlock),
+ nBlocksPerCol(_nCols / _colsPerBlock), Blocks(nBlocksPerCol) {
+ for (int i = 0; i < nBlocksPerCol; i++) {
+ for (int j = 0; j < nBlocksPerRow; j++) {
+ Blocks[i].emplace_back(new float[_rowsPerBlock * _colsPerBlock]);
+ }
+ }
+ };
+
+ // Initialize the BlockMatrix from 2D arrays
+ void Initialize(const std::vector<float> &matrix) {
+ for (int i = 0; i < nBlocksPerCol; i++)
+ for (int j = 0; j < nBlocksPerRow; j++) {
+ float *CurrBlock = GetBlock(i, j);
+ for (int ii = 0; ii < colsPerBlock; ++ii)
+ for (int jj = 0; jj < rowsPerBlock; ++jj) {
+ int curri = i * colsPerBlock + ii;
+ int currj = j * rowsPerBlock + jj;
+ CurrBlock[ii + jj * colsPerBlock] = matrix[curri + currj * nCols];
+ }
+ }
+ }
+
+ long Compare(const std::vector<float> &matrix) const {
+ long fail = 0;
+ for (int i = 0; i < nBlocksPerCol; i++)
+ for (int j = 0; j < nBlocksPerRow; j++) {
+ float *CurrBlock = GetBlock(i, j);
+ for (int ii = 0; ii < colsPerBlock; ++ii)
+ for (int jj = 0; jj < rowsPerBlock; ++jj) {
+ int curri = i * colsPerBlock + ii;
+ int currj = j * rowsPerBlock + jj;
+ float m_value = matrix[curri + currj * nCols];
+ float bm_value = CurrBlock[ii + jj * colsPerBlock];
+ if (bm_value != m_value) {
+ fail++;
+ }
+ }
+ }
+ return fail;
+ }
+
+ float *GetBlock(int i, int j) const {
+ assert(i < nBlocksPerCol && j < nBlocksPerRow && "Accessing outside block");
+ return Blocks[i][j].get();
+ }
+};
+
+constexpr const int BS = 256;
+constexpr const int N = 1024;
+
+int BlockMatMul_TargetNowait(BlockMatrix &A, BlockMatrix &B, BlockMatrix &C) {
+#pragma omp parallel
+#pragma omp master
+ for (int i = 0; i < N / BS; ++i)
+ for (int j = 0; j < N / BS; ++j) {
+ float *BlockC = C.GetBlock(i, j);
+ for (int k = 0; k < N / BS; ++k) {
+ float *BlockA = A.GetBlock(i, k);
+ float *BlockB = B.GetBlock(k, j);
+// clang-format off
+#pragma omp target depend(in: BlockA[0], BlockB[0]) depend(inout: BlockC[0]) \
+ map(to: BlockA[:BS * BS], BlockB[:BS * BS]) \
+ map(tofrom: BlockC[:BS * BS]) nowait
+// clang-format on
+#pragma omp parallel for
+ for (int ii = 0; ii < BS; ii++)
+ for (int jj = 0; jj < BS; jj++) {
+ for (int kk = 0; kk < BS; ++kk)
+ BlockC[ii + jj * BS] +=
+ BlockA[ii + kk * BS] * BlockB[kk + jj * BS];
+ }
+ }
+ }
+ return 0;
+}
+
+void Matmul(const std::vector<float> &a, const std::vector<float> &b,
+ std::vector<float> &c) {
+ for (int i = 0; i < N; ++i) {
+ for (int j = 0; j < N; ++j) {
+ float sum = 0.0;
+ for (int k = 0; k < N; ++k) {
+ sum = sum + a[i * N + k] * b[k * N + j];
+ }
+ c[i * N + j] = sum;
+ }
+ }
+}
+
+int main(int argc, char *argv[]) {
+ std::vector<float> a(N * N);
+ std::vector<float> b(N * N);
+ std::vector<float> c(N * N, 0.0);
+
+ for (int i = 0; i < N; ++i) {
+ for (int j = 0; j < N; ++j) {
+ a[i * N + j] = b[i * N + j] = i + j % 100;
+ }
+ }
+
+ auto BlockedA = BlockMatrix(BS, BS, N, N);
+ BlockedA.Initialize(a);
+ BlockedA.Compare(a);
+ auto BlockedB = BlockMatrix(BS, BS, N, N);
+ BlockedB.Initialize(b);
+ BlockedB.Compare(b);
+
+ Matmul(a, b, c);
+
+ auto BlockedC = BlockMatrix(BS, BS, N, N);
+ BlockMatMul_TargetNowait(BlockedA, BlockedB, BlockedC);
+
+ if (BlockedC.Compare(c) > 0) {
+ return 1;
+ }
+
+ std::cout << "PASS\n";
+
+ return 0;
+}
+
+// CHECK: PASS
diff --git a/openmp/runtime/src/kmp_tasking.cpp b/openmp/runtime/src/kmp_tasking.cpp
index 94c63d500571..ea14f49678fa 100644
--- a/openmp/runtime/src/kmp_tasking.cpp
+++ b/openmp/runtime/src/kmp_tasking.cpp
@@ -326,7 +326,8 @@ static kmp_int32 __kmp_push_task(kmp_int32 gtid, kmp_task_t *task) {
kmp_info_t *thread = __kmp_threads[gtid];
kmp_taskdata_t *taskdata = KMP_TASK_TO_TASKDATA(task);
- if (taskdata->td_flags.hidden_helper) {
+ // We don't need to map to shadow gtid if it is already hidden helper thread
+ if (taskdata->td_flags.hidden_helper && !KMP_HIDDEN_HELPER_THREAD(gtid)) {
gtid = KMP_GTID_TO_SHADOW_GTID(gtid);
thread = __kmp_threads[gtid];
}
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