chore: trying atomics and tree reduction for CUDA reducer kernels

studies/cuda-kernels/reducers/awkward_reduce_argmax_tree_reduction.py

@@ -0,0 +1,90 @@
+import cupy as cp
+
+cuda_kernel = """
+extern "C" {
+    __global__ void awkward_reduce_argmax_a(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+       int thread_id = blockIdx.x * blockDim.x + threadIdx.x;
+
+       if (thread_id < outlength) {
+          toptr[thread_id] = -1;
+       }
+    }
+}
+
+extern "C" {
+    __global__ void awkward_reduce_argmax_b(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+        extern __shared__ int shared[];
+
+        int idx = threadIdx.x;
+        int thread_id = blockIdx.x * blockDim.x + idx;
+
+        if (thread_id < lenparents) {
+            shared[idx] = thread_id;
+        } else {
+            shared[idx] = -1;
+        }
+        __syncthreads();
+
+        for (int stride = 1; stride < blockDim.x; stride *= 2) {
+            int index = -1;
+            if (idx >= stride && thread_id < lenparents && parents[thread_id] == parents[thread_id - stride]) {
+                index = shared[idx - stride];
+            }
+            if (index != -1 && (shared[idx] == -1 || fromptr[index] > fromptr[shared[idx]])) {
+                shared[idx] = index;
+            }
+            __syncthreads();
+        }
+
+        if (thread_id < lenparents) {
+            int parent = parents[thread_id];
+            if (idx == blockDim.x - 1 || thread_id == lenparents - 1 || parents[thread_id] != parents[thread_id + 1]) {
+                partial[blockIdx.x * outlength + parent] = shared[idx];
+            }
+        }
+    }
+}
+
+extern "C" {
+    __global__ void awkward_reduce_argmax_c(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+        int thread_id = blockIdx.x * blockDim.x + threadIdx.x;
+
+        if (thread_id < outlength) {
+            int max_index = -1;
+            int blocks = (lenparents + blockDim.x - 1) / blockDim.x;
+            for (int i = 0; i < blocks; ++i) {
+                int index = partial[i * outlength + thread_id];
+                if (index != -1 && (max_index == -1 || fromptr[index] > fromptr[max_index])) {
+                    max_index = index;
+                }
+            }
+            toptr[thread_id] = max_index;
+        }
+    }
+}
+"""
+
+parents = cp.array([0, 1, 1, 2, 2, 2, 2, 2, 2, 5], dtype=cp.int32)
+fromptr = cp.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=cp.int32)
+lenparents = len(parents)
+outlength = int(cp.max(parents)) + 1
+toptr = cp.full(outlength, -1, dtype=cp.int32)
+
+
+block_size = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
+for i in range (len(block_size)):
+    partial = cp.full((outlength * ((lenparents + block_size[i] - 1) // block_size[i])), -1, dtype=cp.int32)
+    grid_size = (lenparents + block_size[i] - 1) // block_size[i]
+    shared_mem_size = block_size[i] * cp.int32().nbytes
+
+    raw_module = cp.RawModule(code=cuda_kernel)
+
+    awkward_reduce_argmax_a = raw_module.get_function('awkward_reduce_argmax_a')
+    awkward_reduce_argmax_b = raw_module.get_function('awkward_reduce_argmax_b')
+    awkward_reduce_argmax_c = raw_module.get_function('awkward_reduce_argmax_c')
+
+    awkward_reduce_argmax_a((grid_size,), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial))
+    awkward_reduce_argmax_b((grid_size,), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial), shared_mem=shared_mem_size)
+    awkward_reduce_argmax_c(((outlength + block_size[i] - 1) // block_size[i],), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial))
+
+    assert cp.array_equal(toptr, cp.array([0, 2, 8, -1, -1, 9]))

studies/cuda-kernels/reducers/awkward_reduce_argmin_tree_reduction.py

@@ -0,0 +1,90 @@
+import cupy as cp
+
+cuda_kernel = """
+extern "C" {
+    __global__ void awkward_reduce_argmin_a(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+       int thread_id = blockIdx.x * blockDim.x + threadIdx.x;
+
+       if (thread_id < outlength) {
+          toptr[thread_id] = -1;
+       }
+    }
+}
+
+extern "C" {
+    __global__ void awkward_reduce_argmin_b(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+        extern __shared__ int shared[];
+
+        int idx = threadIdx.x;
+        int thread_id = blockIdx.x * blockDim.x + idx;
+
+        if (thread_id < lenparents) {
+            shared[idx] = thread_id;
+        } else {
+            shared[idx] = -1;
+        }
+        __syncthreads();
+
+        for (int stride = 1; stride < blockDim.x; stride *= 2) {
+            int index = -1;
+            if (idx >= stride && thread_id < lenparents && parents[thread_id] == parents[thread_id - stride]) {
+                index = shared[idx - stride];
+            }
+            if (index != -1 && (shared[idx] == -1 || fromptr[index] < fromptr[shared[idx]])) {
+                shared[idx] = index;
+            }
+            __syncthreads();
+        }
+
+        if (thread_id < lenparents) {
+            int parent = parents[thread_id];
+            if (idx == blockDim.x - 1 || thread_id == lenparents - 1 || parents[thread_id] != parents[thread_id + 1]) {
+                partial[blockIdx.x * outlength + parent] = shared[idx];
+            }
+        }
+    }
+}
+
+extern "C" {
+    __global__ void awkward_reduce_argmin_c(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+        int thread_id = blockIdx.x * blockDim.x + threadIdx.x;
+
+        if (thread_id < outlength) {
+            int min_index = -1;
+            int blocks = (lenparents + blockDim.x - 1) / blockDim.x;
+            for (int i = 0; i < blocks; ++i) {
+                int index = partial[i * outlength + thread_id];
+                if (index != -1 && (min_index == -1 || fromptr[index] < fromptr[min_index])) {
+                    min_index = index;
+                }
+            }
+            toptr[thread_id] = min_index;
+        }
+    }
+}
+"""
+
+parents = cp.array([0, 1, 1, 2, 2, 2, 2, 2, 2, 5], dtype=cp.int32)
+fromptr = cp.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], dtype=cp.int32)
+lenparents = len(parents)
+outlength = int(cp.max(parents)) + 1
+toptr = cp.full(outlength, -1, dtype=cp.int32)
+
+
+block_size = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
+for i in range (len(block_size)):
+    partial = cp.full((outlength * ((lenparents + block_size[i] - 1) // block_size[i])), -1, dtype=cp.int32)
+    grid_size = (lenparents + block_size[i] - 1) // block_size[i]
+    shared_mem_size = block_size[i] * cp.int32().nbytes
+
+    raw_module = cp.RawModule(code=cuda_kernel)
+
+    awkward_reduce_argmin_a = raw_module.get_function('awkward_reduce_argmin_a')
+    awkward_reduce_argmin_b = raw_module.get_function('awkward_reduce_argmin_b')
+    awkward_reduce_argmin_c = raw_module.get_function('awkward_reduce_argmin_c')
+
+    awkward_reduce_argmin_a((grid_size,), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial))
+    awkward_reduce_argmin_b((grid_size,), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial), shared_mem=shared_mem_size)
+    awkward_reduce_argmin_c(((outlength + block_size[i] - 1) // block_size[i],), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial))
+
+    assert cp.array_equal(toptr, cp.array([0, 1, 3, -1, -1, 9]))

studies/cuda-kernels/reducers/awkward_reduce_count_64_tree_reduction.py

@@ -0,0 +1,84 @@
+import cupy as cp
+
+cuda_kernel = """
+extern "C" {
+    __global__ void awkward_reduce_countnonzero_a(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+       int thread_id = blockIdx.x * blockDim.x + threadIdx.x;
+
+       if (thread_id < outlength) {
+          toptr[thread_id] = 0;
+       }
+    }
+}
+
+extern "C" {
+    __global__ void awkward_reduce_countnonzero_b(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+        extern __shared__ int shared[];
+
+        int idx = threadIdx.x;
+        int thread_id = blockIdx.x * blockDim.x + idx;
+
+        if (thread_id < lenparents) {
+            shared[idx] = 1;
+        } else {
+            shared[idx] = 0;
+        }
+        __syncthreads();
+
+        for (int stride = 1; stride < blockDim.x; stride *= 2) {
+            int val = 0;
+            if (idx >= stride && thread_id < lenparents && parents[thread_id] == parents[thread_id - stride]) {
+                val = shared[idx - stride];
+            }
+            shared[idx] += val;
+            __syncthreads();
+        }
+
+        if (thread_id < lenparents) {
+            int parent = parents[thread_id];
+            if (idx == blockDim.x - 1 || thread_id == lenparents - 1 || parents[thread_id] != parents[thread_id + 1]) {
+                partial[blockIdx.x * outlength + parent] = shared[idx];
+            }
+        }
+    }
+}
+
+extern "C" {
+    __global__ void awkward_reduce_countnonzero_c(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+        int thread_id = blockIdx.x * blockDim.x + threadIdx.x;
+
+        if (thread_id < outlength) {
+            int countnonzero = 0;
+            int blocks = (lenparents + blockDim.x - 1) / blockDim.x;
+            for (int i = 0; i < blocks; ++i) {
+                countnonzero += partial[i * outlength + thread_id];
+            }
+            toptr[thread_id] = countnonzero;
+        }
+    }
+}
+"""
+
+parents = cp.array([0, 1, 1, 2, 2, 2, 2, 2, 2, 5], dtype=cp.int32)
+fromptr = cp.array([1, 2, 3, 0, 5, 6, 0, 8, 9, 0], dtype=cp.int32)
+lenparents = len(parents)
+outlength = int(cp.max(parents)) + 1
+toptr = cp.zeros(outlength, dtype=cp.int32)
+
+block_size = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
+for i in range (len(block_size)):
+    partial = cp.zeros((outlength * ((lenparents + block_size[i] - 1) // block_size[i])), dtype=cp.int32)
+    grid_size = (lenparents + block_size[i] - 1) // block_size[i]
+    shared_mem_size = block_size[i] * cp.int32().nbytes
+
+    raw_module = cp.RawModule(code=cuda_kernel)
+
+    awkward_reduce_countnonzero_a = raw_module.get_function('awkward_reduce_countnonzero_a')
+    awkward_reduce_countnonzero_b = raw_module.get_function('awkward_reduce_countnonzero_b')
+    awkward_reduce_countnonzero_c = raw_module.get_function('awkward_reduce_countnonzero_c')
+
+    awkward_reduce_countnonzero_a((grid_size,), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial))
+    awkward_reduce_countnonzero_b((grid_size,), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial), shared_mem=shared_mem_size)
+    awkward_reduce_countnonzero_c(((outlength + block_size[i] - 1) // block_size[i],), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial))
+
+    assert cp.array_equal(toptr, cp.array([1, 2, 6, 0, 0, 1]))

studies/cuda-kernels/reducers/awkward_reduce_countnonzero_tree_reduction.py

@@ -0,0 +1,84 @@
+import cupy as cp
+
+cuda_kernel = """
+extern "C" {
+    __global__ void awkward_reduce_countnonzero_a(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+       int thread_id = blockIdx.x * blockDim.x + threadIdx.x;
+
+       if (thread_id < outlength) {
+          toptr[thread_id] = 0;
+       }
+    }
+}
+
+extern "C" {
+    __global__ void awkward_reduce_countnonzero_b(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+        extern __shared__ int shared[];
+
+        int idx = threadIdx.x;
+        int thread_id = blockIdx.x * blockDim.x + idx;
+
+        if (thread_id < lenparents) {
+            shared[idx] = (fromptr[thread_id] != 0) ? 1 : 0;
+        } else {
+            shared[idx] = 0;
+        }
+        __syncthreads();
+
+        for (int stride = 1; stride < blockDim.x; stride *= 2) {
+            int val = 0;
+            if (idx >= stride && thread_id < lenparents && parents[thread_id] == parents[thread_id - stride]) {
+                val = shared[idx - stride];
+            }
+            shared[idx] += val;
+            __syncthreads();
+        }
+
+        if (thread_id < lenparents) {
+            int parent = parents[thread_id];
+            if (idx == blockDim.x - 1 || thread_id == lenparents - 1 || parents[thread_id] != parents[thread_id + 1]) {
+                partial[blockIdx.x * outlength + parent] = shared[idx];
+            }
+        }
+    }
+}
+
+extern "C" {
+    __global__ void awkward_reduce_countnonzero_c(int* toptr, int* fromptr, int* parents, int lenparents, int outlength, int* partial) {
+        int thread_id = blockIdx.x * blockDim.x + threadIdx.x;
+
+        if (thread_id < outlength) {
+            int countnonzero = 0;
+            int blocks = (lenparents + blockDim.x - 1) / blockDim.x;
+            for (int i = 0; i < blocks; ++i) {
+                countnonzero += partial[i * outlength + thread_id];
+            }
+            toptr[thread_id] = countnonzero;
+        }
+    }
+}
+"""
+
+parents = cp.array([0, 1, 1, 2, 2, 2, 2, 2, 2, 5], dtype=cp.int32)
+fromptr = cp.array([1, 2, 3, 0, 5, 6, 0, 8, 9, 0], dtype=cp.int32)
+lenparents = len(parents)
+outlength = int(cp.max(parents)) + 1
+toptr = cp.zeros(outlength, dtype=cp.int32)
+
+block_size = [2, 4, 8, 16, 32, 64, 128, 256, 512, 1024]
+for i in range (len(block_size)):
+    partial = cp.zeros((outlength * ((lenparents + block_size[i] - 1) // block_size[i])), dtype=cp.int32)
+    grid_size = (lenparents + block_size[i] - 1) // block_size[i]
+    shared_mem_size = block_size[i] * cp.int32().nbytes
+
+    raw_module = cp.RawModule(code=cuda_kernel)
+
+    awkward_reduce_countnonzero_a = raw_module.get_function('awkward_reduce_countnonzero_a')
+    awkward_reduce_countnonzero_b = raw_module.get_function('awkward_reduce_countnonzero_b')
+    awkward_reduce_countnonzero_c = raw_module.get_function('awkward_reduce_countnonzero_c')
+
+    awkward_reduce_countnonzero_a((grid_size,), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial))
+    awkward_reduce_countnonzero_b((grid_size,), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial), shared_mem=shared_mem_size)
+    awkward_reduce_countnonzero_c(((outlength + block_size[i] - 1) // block_size[i],), (block_size[i],), (toptr, fromptr, parents, lenparents, outlength, partial))
+
+    assert cp.array_equal(toptr, cp.array([1, 2, 4, 0, 0, 0]))