dag.h

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#pragma once
 
#include "pipeline/perf.h"
 
#include <cuda_runtime.h>
#include <memory>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <vector>
 
namespace fz {
 
// Forward declarations
class Stage;
class MemoryPool;
 
enum class MemoryStrategy {
    MINIMAL,      
    PREALLOCATE   
};
 
struct BufferInfo {
    size_t size;
    size_t initial_size;
    size_t allocated_size;
    void*  d_ptr;
    std::string tag;
 
    int remaining_consumers;
    std::vector<int> consumer_stage_ids;
    int producer_stage_id;
    int producer_output_index;
 
    bool is_allocated;
    bool is_persistent;  
    bool is_external;    
 
    BufferInfo()
        : size(0), initial_size(0), allocated_size(0), d_ptr(nullptr), tag(""),
          remaining_consumers(0), producer_stage_id(-1), producer_output_index(0),
          is_allocated(false), is_persistent(false), is_external(false) {}
};
 
struct DAGNode {
    int     id;
    Stage*  stage;
    std::string name;
 
    std::vector<int>     input_buffer_ids;
    std::vector<int>     output_buffer_ids;
    std::unordered_map<int, int> output_index_to_buffer_id;
 
    std::vector<DAGNode*> dependencies;
    std::vector<DAGNode*> dependents;
 
    int          level;
    int          execution_order;
    cudaStream_t stream;
 
    bool         is_executed;
    cudaEvent_t  completion_event;
    cudaEvent_t  start_event;  
 
    // Pre-sized vectors for execute() — allocated at finalize(), reused every call
    // to avoid per-call heap allocations of the input/output/sizes arrays.
    std::vector<void*>   exec_inputs;
    std::vector<void*>   exec_outputs;
    std::vector<size_t>  exec_sizes;
 
    DAGNode(Stage* s = nullptr)
        : id(-1), stage(s), level(-1), execution_order(-1),
          stream(nullptr), is_executed(false), completion_event(nullptr), start_event(nullptr) {}
};
 
class CompressionDAG {
public:
    CompressionDAG(MemoryPool* mem_pool, MemoryStrategy strategy = MemoryStrategy::MINIMAL);
    ~CompressionDAG();
 
    // ── Construction ──────────────────────────────────────────────────────────
 
    DAGNode* addStage(Stage* stage, std::string name = "");
 
    int addDependency(DAGNode* dependent, DAGNode* dependency,
                      size_t buffer_size = 0, int output_index = 0);
 
    void setInputBuffer(DAGNode* node, size_t size, const std::string& tag = "input");
    void setOutputBuffer(DAGNode* node, size_t size, const std::string& tag = "output");
 
    int addUnconnectedOutput(DAGNode* node, size_t size, int output_index, const std::string& tag);
 
    bool connectExistingOutput(DAGNode* producer, DAGNode* consumer, int output_index);
 
    void updateBufferTag(int buffer_id, const std::string& tag);
    void setBufferPersistent(int buffer_id, bool persistent);
 
    void finalize();
 
    void configureStreams(int num_streams);
 
    // ── Execution ─────────────────────────────────────────────────────────────
 
    void execute(cudaStream_t stream);
 
    void preallocateBuffers(cudaStream_t stream = 0);
 
    void reset(cudaStream_t stream = 0);
 
    // ── Buffer access ─────────────────────────────────────────────────────────
 
    void* getBuffer(int buffer_id) const;
 
    void setExternalPointer(int buffer_id, void* external_ptr);
 
    void updateBufferSize(int buffer_id, size_t new_size);
 
    // ── Query & debug ─────────────────────────────────────────────────────────
 
    size_t getTotalBufferSize() const;
 
    size_t computeTopoPoolSize() const;
 
    size_t getPeakMemoryUsage()    const { return peak_memory_usage_; }
    size_t getCurrentMemoryUsage() const { return current_memory_usage_; }
    size_t getBufferSize(int buffer_id) const;
    const BufferInfo& getBufferInfo(int buffer_id) const;
    const std::vector<std::vector<DAGNode*>>& getLevels() const { return levels_; }
    const std::vector<DAGNode*>& getNodes() const { return nodes_; }
 
    int getMaxParallelism() const;
 
    size_t getStreamCount() const { return streams_.size(); }
 
    void printDAG() const;
    void printBufferLifetimes() const;
 
    void enableBoundsCheck(bool enable) { bounds_check_enabled_ = enable; }
    bool isBoundsCheckEnabled() const   { return bounds_check_enabled_; }
 
    void setColoringEnabled(bool enable) { coloring_disabled_ = !enable; }
    bool isColoringEnabled() const       { return coloring_applied_; }
    size_t getColorRegionCount() const   { return color_region_sizes_.size(); }
 
    void setCaptureMode(bool capture);
    bool isCaptureMode() const { return capture_mode_; }
 
    // ── Profiling ─────────────────────────────────────────────────────────────
 
    void enableProfiling(bool enable);
    bool isProfilingEnabled() const { return profiling_enabled_; }
 
    std::vector<StageTimingResult> collectTimings();
 
private:
    MemoryPool*     mem_pool_;
    MemoryStrategy  strategy_;
 
    std::vector<DAGNode*>           nodes_;
    std::unordered_map<int, BufferInfo> buffers_;
 
    int  next_buffer_id_;
    bool is_finalized_;
 
    std::vector<cudaStream_t> streams_;
    bool owns_streams_;
 
    std::vector<std::vector<DAGNode*>> levels_;
    int max_level_;
 
    size_t current_memory_usage_;
    size_t peak_memory_usage_;
 
    bool profiling_enabled_;
    bool bounds_check_enabled_;
    bool capture_mode_;
 
    // Buffer coloring (PREALLOCATE only). Non-overlapping buffers share a color
    // and are aliased into one pool region. color_region_ptrs_ owns the allocations.
    bool coloring_disabled_;
    bool coloring_applied_;
    std::unordered_map<int, int> buffer_color_;
    std::vector<size_t>          color_region_sizes_;
    std::vector<void*>           color_region_ptrs_;
 
    void assignLevels();
    void assignStreams();
    void allocateBuffer(int buffer_id, cudaStream_t stream);
    void freeBuffer(int buffer_id, cudaStream_t stream);
    void planPreallocation();
    void colorBuffers();
};
 
} // namespace fz