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+// SPDX-License-Identifier: Apache-2.0
+// ----------------------------------------------------------------------------
+// Copyright 2011-2022 Arm Limited
+//
+// Licensed under the Apache License, Version 2.0 (the "License"); you may not
+// use this file except in compliance with the License. You may obtain a copy
+// of the License at:
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+// WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+// License for the specific language governing permissions and limitations
+// under the License.
+// ----------------------------------------------------------------------------
+
+/**
+ * @brief Functions and data declarations for the outer context.
+ *
+ * The outer context includes thread-pool management, which is slower to
+ * compile due to increased use of C++ stdlib. The inner context used in the
+ * majority of the codec library does not include this.
+ */
+
+#ifndef ASTCENC_INTERNAL_ENTRY_INCLUDED
+#define ASTCENC_INTERNAL_ENTRY_INCLUDED
+
+#include <atomic>
+#include <condition_variable>
+#include <functional>
+#include <mutex>
+
+#include "astcenc_internal.h"
+
+/* ============================================================================
+ Parallel execution control
+============================================================================ */
+
+/**
+ * @brief A simple counter-based manager for parallel task execution.
+ *
+ * The task processing execution consists of:
+ *
+ * * A single-threaded init stage.
+ * * A multi-threaded processing stage.
+ * * A condition variable so threads can wait for processing completion.
+ *
+ * The init stage will be executed by the first thread to arrive in the critical section, there is
+ * no main thread in the thread pool.
+ *
+ * The processing stage uses dynamic dispatch to assign task tickets to threads on an on-demand
+ * basis. Threads may each therefore executed different numbers of tasks, depending on their
+ * processing complexity. The task queue and the task tickets are just counters; the caller must map
+ * these integers to an actual processing partition in a specific problem domain.
+ *
+ * The exit wait condition is needed to ensure processing has finished before a worker thread can
+ * progress to the next stage of the pipeline. Specifically a worker may exit the processing stage
+ * because there are no new tasks to assign to it while other worker threads are still processing.
+ * Calling @c wait() will ensure that all other worker have finished before the thread can proceed.
+ *
+ * The basic usage model:
+ *
+ * // --------- From single-threaded code ---------
+ *
+ * // Reset the tracker state
+ * manager->reset()
+ *
+ * // --------- From multi-threaded code ---------
+ *
+ * // Run the stage init; only first thread actually runs the lambda
+ * manager->init(<lambda>)
+ *
+ * do
+ * {
+ * // Request a task assignment
+ * uint task_count;
+ * uint base_index = manager->get_tasks(<granule>, task_count);
+ *
+ * // Process any tasks we were given (task_count <= granule size)
+ * if (task_count)
+ * {
+ * // Run the user task processing code for N tasks here
+ * ...
+ *
+ * // Flag these tasks as complete
+ * manager->complete_tasks(task_count);
+ * }
+ * } while (task_count);
+ *
+ * // Wait for all threads to complete tasks before progressing
+ * manager->wait()
+ *
+ * // Run the stage term; only first thread actually runs the lambda
+ * manager->term(<lambda>)
+ */
+class ParallelManager
+{
+private:
+ /** @brief Lock used for critical section and condition synchronization. */
+ std::mutex m_lock;
+
+ /** @brief True if the stage init() step has been executed. */
+ bool m_init_done;
+
+ /** @brief True if the stage term() step has been executed. */
+ bool m_term_done;
+
+ /** @brief Condition variable for tracking stage processing completion. */
+ std::condition_variable m_complete;
+
+ /** @brief Number of tasks started, but not necessarily finished. */
+ std::atomic<unsigned int> m_start_count;
+
+ /** @brief Number of tasks finished. */
+ unsigned int m_done_count;
+
+ /** @brief Number of tasks that need to be processed. */
+ unsigned int m_task_count;
+
+public:
+ /** @brief Create a new ParallelManager. */
+ ParallelManager()
+ {
+ reset();
+ }
+
+ /**
+ * @brief Reset the tracker for a new processing batch.
+ *
+ * This must be called from single-threaded code before starting the multi-threaded processing
+ * operations.
+ */
+ void reset()
+ {
+ m_init_done = false;
+ m_term_done = false;
+ m_start_count = 0;
+ m_done_count = 0;
+ m_task_count = 0;
+ }
+
+ /**
+ * @brief Trigger the pipeline stage init step.
+ *
+ * This can be called from multi-threaded code. The first thread to hit this will process the
+ * initialization. Other threads will block and wait for it to complete.
+ *
+ * @param init_func Callable which executes the stage initialization. It must return the
+ * total number of tasks in the stage.
+ */
+ void init(std::function<unsigned int(void)> init_func)
+ {
+ std::lock_guard<std::mutex> lck(m_lock);
+ if (!m_init_done)
+ {
+ m_task_count = init_func();
+ m_init_done = true;
+ }
+ }
+
+ /**
+ * @brief Trigger the pipeline stage init step.
+ *
+ * This can be called from multi-threaded code. The first thread to hit this will process the
+ * initialization. Other threads will block and wait for it to complete.
+ *
+ * @param task_count Total number of tasks needing processing.
+ */
+ void init(unsigned int task_count)
+ {
+ std::lock_guard<std::mutex> lck(m_lock);
+ if (!m_init_done)
+ {
+ m_task_count = task_count;
+ m_init_done = true;
+ }
+ }
+
+ /**
+ * @brief Request a task assignment.
+ *
+ * Assign up to @c granule tasks to the caller for processing.
+ *
+ * @param granule Maximum number of tasks that can be assigned.
+ * @param[out] count Actual number of tasks assigned, or zero if no tasks were assigned.
+ *
+ * @return Task index of the first assigned task; assigned tasks increment from this.
+ */
+ unsigned int get_task_assignment(unsigned int granule, unsigned int& count)
+ {
+ unsigned int base = m_start_count.fetch_add(granule, std::memory_order_relaxed);
+ if (base >= m_task_count)
+ {
+ count = 0;
+ return 0;
+ }
+
+ count = astc::min(m_task_count - base, granule);
+ return base;
+ }
+
+ /**
+ * @brief Complete a task assignment.
+ *
+ * Mark @c count tasks as complete. This will notify all threads blocked on @c wait() if this
+ * completes the processing of the stage.
+ *
+ * @param count The number of completed tasks.
+ */
+ void complete_task_assignment(unsigned int count)
+ {
+ // Note: m_done_count cannot use an atomic without the mutex; this has a race between the
+ // update here and the wait() for other threads
+ std::unique_lock<std::mutex> lck(m_lock);
+ this->m_done_count += count;
+ if (m_done_count == m_task_count)
+ {
+ lck.unlock();
+ m_complete.notify_all();
+ }
+ }
+
+ /**
+ * @brief Wait for stage processing to complete.
+ */
+ void wait()
+ {
+ std::unique_lock<std::mutex> lck(m_lock);
+ m_complete.wait(lck, [this]{ return m_done_count == m_task_count; });
+ }
+
+ /**
+ * @brief Trigger the pipeline stage term step.
+ *
+ * This can be called from multi-threaded code. The first thread to hit this will process the
+ * work pool termination. Caller must have called @c wait() prior to calling this function to
+ * ensure that processing is complete.
+ *
+ * @param term_func Callable which executes the stage termination.
+ */
+ void term(std::function<void(void)> term_func)
+ {
+ std::lock_guard<std::mutex> lck(m_lock);
+ if (!m_term_done)
+ {
+ term_func();
+ m_term_done = true;
+ }
+ }
+};
+
+/**
+ * @brief The astcenc compression context.
+ */
+struct astcenc_context
+{
+ /** @brief The context internal state. */
+ astcenc_contexti context;
+
+#if !defined(ASTCENC_DECOMPRESS_ONLY)
+ /** @brief The parallel manager for averages computation. */
+ ParallelManager manage_avg;
+
+ /** @brief The parallel manager for compression. */
+ ParallelManager manage_compress;
+#endif
+
+ /** @brief The parallel manager for decompression. */
+ ParallelManager manage_decompress;
+};
+
+#endif