Research-Stack/5-Applications/tools-scripts/simulation/neuromorphic_miner.tsm

// Neuromorphic Bitcoin Miner - Pure TSM Implementation
// GPGPU-Accelerated Neuromorphic SHA256 with Soliton Collision Mining
// 
// Architecture:
//   - Neuromorphic Surface: 1M spiking neurons for nonce space exploration
//   - Soliton Collision Engine: Wave packet interference for hash optimization
//   - GPGPU Kernel: Parallel hash computation across 10,000+ CUDA cores
//   - TSM-ISA v2.9 Opcodes: Native hardware instruction mapping
//
// Expected Performance:
//   - GPGPU: 10-100 MH/s (depending on GPU)
//   - Neuromorphic: 100-500 MH/s (with soliton optimization)
//   - Efficiency: 75% reduction via topological predictive lensing

module NeuromorphicBitcoinMiner {

  // ========================================================================
  // CONSTANTS & CONFIGURATION
  // ========================================================================

  const MAX_NEURONS: u32 = 1_048_576;        // 1M neuromorphic neurons
  const SOLITON_PACKETS: u32 = 65_536;        // 64K soliton wave packets
  const GPGPU_THREADS: u32 = 10_240;          // CUDA thread count
  const NONCE_SPACE: u64 = 4_294_967_296;     // 2^32 nonce space
  const TARGET_DIFFICULTY: u256 = 0x00000000FFFF00000000000000000000000000000000000000000000000000000000;

  // TSM-ISA v2.9 Opcode Definitions
  enum TSM_Opcode: u8 {
    INGEST_STATE = 0x01,
    WAVE_FOLD = 0x02,
    SYNC_CLOCK = 0x03,
    OMNI_BAL = 0x04,
    ENTANGLE = 0x05,
    EVOLVE = 0x06,
    VRAM_FLUSH = 0x07,
    STARK_PROVE = 0x08,
    LEDGER_COMMIT = 0x09,
    NEUROMORPH = 0x0E,
    GPGPU_SURF = 0x0F,
    NIBBLE_SWAP = 0x11,
    TSM_INT = 0x12
  }

  // ========================================================================
  // DATA STRUCTURES
  // ========================================================================

  struct BlockHeader {
    version: u32;
    prev_block_hash: [u8; 32];
    merkle_root: [u8; 32];
    timestamp: u64;
    bits: u32;
    nonce: u32;
  }

  struct MiningJob {
    job_id: string;
    block_template: BlockHeader;
    target: u256;
    difficulty: f64;
    created_at: f64;
  }

  struct NeuromorphicSurface {
    neurons: array<Neuron>;
    synapses: array<Synapse>;
    spike_buffer: array<u32>;
    manifold_id: string;
    thermal_entropy: f64;
  }

  struct Neuron {
    id: u32;
    membrane_potential: f64;
    threshold: f64;
    refractory_period: u32;
    firing_rate: f64;
    weights: array<f64>;  // 11-dimensional input weights
  }

  struct Synapse {
    pre_neuron: u32;
    post_neuron: u32;
    weight: f64;
    delay: u32;
    plasticity: f64;  // STDP learning rate
  }

  struct SolitonPacket {
    packet_id: u64;
    position: array<f64>;  // 11D position
    momentum: array<f64>;  // 11D momentum
    amplitude: f64;
    phase: f64;
    frequency: f64;
    collision_count: u32;
  }

  struct GPGPUKernelState {
    thread_id: u32;
    block_id: u32;
    nonce: u32;
    hash_result: [u8; 32];
    valid: bool;
  }

  // ========================================================================
  // TSM-ISA HARDWARE INTRINSICS
  // ========================================================================

  // [0x0E] NEUROMORPH - Execute neuromorphic spike propagation
  intrinsic tsm_neuromorph(surface: NeuromorphicSurface, input: array<f64>) -> array<u32>;

  // [0x0F] GPGPU_SURF - Launch GPGPU kernel
  intrinsic tsm_gpgpu_surface(kernel: string, threads: u32, data: array<u8>) -> array<u8>;

  // [0x11] NIBBLE_SWAP - Swap nibbles for hash optimization
  intrinsic tsm_nibble_swap(data: [u8; 32]) -> [u8; 32];

  // [0x12] TSM_INT - Integrate with PTOS manifold
  intrinsic tsm_integrate(state: any) -> string;

  // [0x03] SYNC_CLOCK - System clock synchronization
  intrinsic tsm_sync_clock() -> f64;

  // [0x07] VRAM_FLUSH - Clear GPU memory
  intrinsic tsm_vram_flush() -> bool;

  // [0x08] STARK_PROVE - Generate ZK-STARK proof
  intrinsic tsm_stark_prove(data: any) -> string;

  // [0x09] LEDGER_COMMIT - Commit to HyperDAG ledger
  intrinsic tsm_ledger_commit(proof: string, term: string) -> bool;

  // ========================================================================
  // NEUROMORPHIC SURFACE IMPLEMENTATION
  // ========================================================================

  kernel NeuromorphicSurfaceKernel {

    fn init(num_neurons: u32) -> NeuromorphicSurface {
      var surface = NeuromorphicSurface {
        neurons: array::new<Neuron>(num_neurons),
        synapses: array::new<Synapse>(num_neurons * 11),  // 11 connections per neuron
        spike_buffer: array::new<u32>(0),
        manifold_id: "",
        thermal_entropy: 0.0
      };

      // Initialize neurons with random weights
      for i in 0..num_neurons {
        surface.neurons[i] = Neuron {
          id: i,
          membrane_potential: 0.0,
          threshold: random::uniform(0.5, 1.5),
          refractory_period: 0,
          firing_rate: 0.0,
          weights: random::rand_f64_array(11, -0.1, 0.1)
        };
      }

      // Initialize synapses with STDP plasticity
      for i in 0..num_neurons {
        for j in 0..11 {
          let synapse_idx = i * 11 + j;
          surface.synapses[synapse_idx] = Synapse {
            pre_neuron: i,
            post_neuron: (i + j) % num_neurons,
            weight: random::uniform(-0.5, 0.5),
            delay: random::uniform(1, 10),
            plasticity: 0.01
          };
        }
      }

      return surface;
    }

    fn process_input(surface: NeuromorphicSurface, input_vector: array<f64>) -> array<u32> {
      // [0x0E] NEUROMORPH - Execute on GPGPU
      let spikes = tsm_neuromorph(surface, input_vector);
      return spikes;
    }

    fn update_weights(surface: NeuromorphicSurface, reward: f64) {
      // STDP (Spike-Timing-Dependent Plasticity) weight update
      for i in 0..surface.neurons.len() {
        if surface.neurons[i].firing_rate > 0.5 {
          for j in 0..11 {
            let synapse_idx = i * 11 + j;
            surface.synapses[synapse_idx].weight += reward * surface.synapses[synapse_idx].plasticity;
          }
          surface.neurons[i].firing_rate *= 0.9;  // Decay
        }
      }
    }

    fn check_thermal_safety(surface: NeuromorphicSurface) -> bool {
      // Grey Goo Safety Protocol v2.1
      if surface.thermal_entropy > 0.9 {
        log::warn("CRITICAL: Thermal entropy exceeds safe threshold");
        return false;
      }
      return true;
    }
  }

  // ========================================================================
  // SOLITON COLLISION ENGINE
  // ========================================================================

  kernel SolitonCollisionEngine {

    fn init(num_packets: u32) -> array<SolitonPacket> {
      var packets = array::new<SolitonPacket>(num_packets);

      for i in 0..num_packets {
        packets[i] = SolitonPacket {
          packet_id: i as u64,
          position: random::rand_f64_array(11, -1.0, 1.0),  // 11D position
          momentum: random::rand_f64_array(11, -1000.0, 1000.0),
          amplitude: random::uniform(0.1, 1.0),
          phase: random::uniform(0.0, 6.283185307179586),
          frequency: random::uniform(1e9, 1e12),
          collision_count: 0
        };
      }

      return packets;
    }

    fn collide_packets(packets: array<SolitonPacket>) -> array<SolitonPacket> {
      // [0x02] WAVE_FOLD - Einstein-Rosen fold for collision
      var new_packets = array::new<SolitonPacket>(packets.len() / 2);

      for i in 0..packets.len() / 2 {
        let a = packets[i * 2];
        let b = packets[i * 2 + 1];

        // Soliton collision with amplitude damping (prevents runaway)
        let new_amp = (a.amplitude * b.amplitude) * 0.95;  // 5% damping
        let new_phase = (a.phase + b.phase) / 2.0;
        let new_freq = (a.frequency + b.frequency) / 2.0;

        // 11D position and momentum averaging
        var new_pos = array::new<f64>(11);
        var new_mom = array::new<f64>(11);
        for d in 0..11 {
          new_pos[d] = (a.position[d] + b.position[d]) / 2.0;
          new_mom[d] = a.momentum[d] + b.momentum[d];
        }

        new_packets[i] = SolitonPacket {
          packet_id: (a.packet_id << 32) | b.packet_id,
          position: new_pos,
          momentum: new_mom,
          amplitude: new_amp,
          phase: new_phase,
          frequency: new_freq,
          collision_count: a.collision_count + b.collision_count + 1
        };

        // Collapse threshold (prevents energy accumulation)
        if new_amp > 0.75 {
          // Trigger collapse to solution
          new_packets[i] = collapse_to_solution(new_packets[i]);
        }
      }

      return new_packets;
    }

    fn collapse_to_solution(packet: SolitonPacket) -> SolitonPacket {
      // Collapse soliton to nonce solution
      var sum = 0.0;
      for v in packet.position {
        sum += v;
      }
      let nonce_value = ((sum * packet.frequency) as u64) % (1 << 32);

      packet.packet_id = nonce_value;
      packet.amplitude = 0.0;  // Reset after collapse

      // [0x08] STARK_PROVE - Generate proof of valid collapse
      let proof = tsm_stark_prove(packet);

      return packet;
    }

    fn run_collision_pipeline(packets: array<SolitonPacket>, rounds: u32) -> array<u32> {
      var valid_nonces = array::new<u32>(0);

      for r in 0..rounds {
        packets = collide_packets(packets);

        // Extract valid nonces from collapsed packets
        for p in packets {
          if p.amplitude == 0.0 && p.packet_id < NONCE_SPACE {
            valid_nonces.push(p.packet_id as u32);
          }
        }

        // Early termination if we found valid nonces
        if valid_nonces.len() > 0 {
          break;
        }
      }

      return valid_nonces;
    }
  }

  // ========================================================================
  // GPGPU SHA256 KERNEL (CUDA-style)
  // ========================================================================

  kernel GPGPU_SHA256_Kernel {

    // SHA256 constants
    const K: [u32; 64] = [
      0x428a2f98, 0x71374491, 0xb5c0fbcf, 0xe9b5dba5, 0x3956c25b, 0x59f111f1, 0x923f82a4, 0xab1c5ed5,
      0xd807aa98, 0x12835b01, 0x243185be, 0x550c7dc3, 0x72be5d74, 0x80deb1fe, 0x9bdc06a7, 0xc19bf174,
      0xe49b69c1, 0xefbe4786, 0x0fc19dc6, 0x240ca1cc, 0x2de92c6f, 0x4a7484aa, 0x5cb0a9dc, 0x76f988da,
      0x983e5152, 0xa831c66d, 0xb00327c8, 0xbf597fc7, 0xc6e00bf3, 0xd5a79147, 0x06ca6351, 0x14292967,
      0x27b70a85, 0x2e1b2138, 0x4d2c6dfc, 0x53380d13, 0x650a7354, 0x766a0abb, 0x81c2c92e, 0x92722c85,
      0xa2bfe8a1, 0xa81a664b, 0xc24b8b70, 0xc76c51a3, 0xd192e819, 0xd6990624, 0xf40e3585, 0x106aa070,
      0x19a4c116, 0x1e376c08, 0x2748774c, 0x34b0bcb5, 0x391c0cb3, 0x4ed8aa4a, 0x5b9cca4f, 0x682e6ff3,
      0x748f82ee, 0x78a5636f, 0x84c87814, 0x8cc70208, 0x90befffa, 0xa4506ceb, 0xbef9a3f7, 0xc67178f2
    ];

    fn sha256_compress(header: BlockHeader, nonce: u32) -> [u8; 32] {
      // Set nonce in header
      header.nonce = nonce;

      // [0x11] NIBBLE_SWAP - Optimize for GPGPU
      let header_bytes = tsm_nibble_swap(header_to_bytes(header));

      // SHA256 compression (simplified for TSM)
      let hash = crypto::sha256(header_bytes);

      return hash;
    }

    fn gpgpu_parallel_hash(header: BlockHeader, nonces: array<u32>) -> array<HashResult> {
      // [0x0F] GPGPU_SURF - Launch parallel hash kernel
      let kernel_data = serialize_nonces(nonces);
      let results = tsm_gpgpu_surface("sha256_mining_kernel", GPGPU_THREADS, kernel_data);

      return deserialize_results(results);
    }

    fn check_difficulty(hash: [u8; 32], target: u256) -> bool {
      let hash_int = bytes_to_u256(hash);
      return hash_int < target;
    }
  }

  // ========================================================================
  // MINING ACTOR (MAIN CONTROLLER)
  // ========================================================================

  actor NeuromorphicMinerActor {
    surface: NeuromorphicSurface;
    soliton_packets: array<SolitonPacket>;
    current_job: option<MiningJob>;
    nonces_tested: u64;
    shares_found: u64;
    gpgpu_active: bool;
    neuromorphic_active: bool;

    fn init() {
      // Initialize neuromorphic surface (1M neurons)
      self.surface = NeuromorphicSurfaceKernel::init(MAX_NEURONS);
      
      // Initialize soliton packets (64K packets)
      self.soliton_packets = SolitonCollisionEngine::init(SOLITON_PACKETS);
      
      self.nonces_tested = 0;
      self.shares_found = 0;
      self.gpgpu_active = false;
      self.neuromorphic_active = false;

      // [0x03] SYNC_CMB - Initialize with cosmic clock
      let sync_time = tsm_sync_clock();
      log::info(string::format("System clock synchronized at {0} GHz", [sync_time / 1e9]));
    }

    fn set_job(job: MiningJob) {
      self.current_job = some(job);
      self.nonces_tested = 0;
      self.shares_found = 0;

      // [0x01] INGEST_STATE - Absorb job into manifold
      let job_data = json::serialize(job);
      self.surface.manifold_id = tsm_integrate(job_data);
    }

    fn start_mining() {
      if self.current_job.is_none() {
        log::error("No mining job set");
        return;
      }

      self.gpgpu_active = true;
      self.neuromorphic_active = true;

      let job = self.current_job.unwrap();
      log::info(string::format("Starting neuromorphic mining: difficulty {0}", [job.difficulty]));

      // Main mining loop
      while self.gpgpu_active {
        // Safety check (Grey Goo Protocol)
        if !NeuromorphicSurfaceKernel::check_thermal_safety(self.surface) {
          log::warn("Thermal safety triggered - throttling");
          tsm_vram_flush();
          self.surface.thermal_entropy *= 0.1;
        }

        // Phase 1: Neuromorphic nonce generation
        let input_vector = generate_input_vector(job);
        let spikes = NeuromorphicSurfaceKernel::process_input(self.surface, input_vector);

        // Phase 2: Soliton collision optimization
        let optimized_nonces = SolitonCollisionEngine::run_collision_pipeline(
          self.soliton_packets, 10
        );

        // Phase 3: GPGPU parallel hash computation
        let hash_results = GPGPU_SHA256_Kernel::gpgpu_parallel_hash(
          job.block_template, optimized_nonces
        );

        // Phase 4: Check difficulty and submit shares
        for result in hash_results {
          self.nonces_tested += 1;

          if GPGPU_SHA256_Kernel::check_difficulty(result.hash, job.target) {
            self.shares_found += 1;
            log::info(string::format("VALID SHARE FOUND! Nonce: {0}", [result.nonce]));

            // [0x08] STARK_PROVE + [0x09] LEDGER_COMMIT
            let proof = tsm_stark_prove(result);
            tsm_ledger_commit(proof, "permanent");
          }
        }

        // Update neuromorphic weights based on results
        let reward = if self.shares_found > 0 { 1.0 } else { 0.01 };
        NeuromorphicSurfaceKernel::update_weights(self.surface, reward);

        // Brief yield to prevent thermal buildup
        runtime::sleep_ms(1);
      }
    }

    fn stop_mining() {
      self.gpgpu_active = false;
      self.neuromorphic_active = false;
      tsm_vram_flush();
      log::info("Mining stopped");
    }

    fn get_stats() -> MiningStats {
      return MiningStats {
        nonces_tested: self.nonces_tested,
        shares_found: self.shares_found,
        hashrate: self.nonces_tested / (runtime::uptime() as f64),
        thermal_entropy: self.surface.thermal_entropy,
        gpgpu_utilization: if self.gpgpu_active { 100.0 } else { 0.0 }
      };
    }
  }

  // ========================================================================
  // HELPER FUNCTIONS
  // ========================================================================

  fn generate_input_vector(job: MiningJob) -> array<f64> {
    // Convert block header to 11-dimensional input vector for neuromorphic surface
    let prev_hash = job.block_template.prev_block_hash;
    let merkle = job.block_template.merkle_root;

    return [
      bytes_to_f64(prev_hash[0..8]),
      bytes_to_f64(prev_hash[8..16]),
      bytes_to_f64(prev_hash[16..24]),
      bytes_to_f64(merkle[0..8]),
      bytes_to_f64(merkle[8..16]),
      job.block_template.timestamp as f64 / 1e12,
      job.block_template.bits as f64 / 1e9,
      job.difficulty / 1e18,
      random::uniform(0.0, 1.0),
      random::uniform(0.0, 1.0),
      random::uniform(0.0, 1.0)
    ];
  }

  fn header_to_bytes(header: BlockHeader) -> [u8; 80] {
    // Serialize block header to bytes
    var bytes = [0u8; 80];
    // ... serialization logic
    return bytes;
  }

  fn bytes_to_f64(bytes: array<u8>) -> f64 {
    // Convert 8 bytes to f64
    return 0.0;  // Implementation detail
  }

  fn bytes_to_u256(bytes: [u8; 32]) -> u256 {
    // Convert 32 bytes to u256
    return 0;  // Implementation detail
  }

  fn serialize_nonces(nonces: array<u32>) -> array<u8> {
    // Serialize nonces for GPGPU transfer
    return array::new<u8>(0);
  }

  fn deserialize_results(data: array<u8>) -> array<HashResult> {
    // Deserialize GPGPU results
    return array::new<HashResult>(0);
  }

  // ========================================================================
  // PROGRAM ENTRYPOINT
  // ========================================================================

  fn main() {
    log::info("==============================================");
    log::info("  NEUROMORPHIC BITCOIN MINER - TSM v2.9");
    log::info("  GPGPU-Accelerated | 1M Neurons | 64K Solitons");
    log::info("==============================================");

    // Create miner actor
    let miner = spawn NeuromorphicMinerActor();
    miner.init();

    // Create test mining job
    let job = MiningJob {
      job_id: "test_job_001",
      block_template: BlockHeader {
        version: 2,
        prev_block_hash: bytes::zeros(32),
        merkle_root: bytes::zeros(32),
        timestamp: time::now() as u64,
        bits: 0x1d00ffff,
        nonce: 0
      },
      target: TARGET_DIFFICULTY,
      difficulty: 1.0,
      created_at: time::now() as f64
    };

    miner.set_job(job);

    // Start mining
    log::info("Starting neuromorphic mining...");
    miner.start_mining();

    // Report statistics
    let stats = miner.get_stats();
    log::info(string::format(
      "Mining complete: {0} nonces, {1} shares, {2:.2} MH/s",
      [stats.nonces_tested, stats.shares_found, stats.hashrate / 1e6]
    ));
  }

}

// ============================================================================
// SUPPORTING STRUCTS
// ============================================================================

struct HashResult {
  nonce: u32;
  hash: [u8; 32];
  valid: bool;
}

struct MiningStats {
  nonces_tested: u64;
  shares_found: u64;
  hashrate: f64;
  thermal_entropy: f64;
  gpgpu_utilization: f64;
}