// NII Core Surface Driver - FPGA Bitstream // Based on Canonical Core v1 architecture // Layer 6: Steady-State Stability (SSS) monitoring // Layer 7: Alcubierre Information Metric // FAMM-aware scheduling // Topological state management // Q16.16 fixed-point arithmetic `timescale 1ns / 1ps // ═══════════════════════════════════════════════════════════════════════════ // Q16.16 Fixed-Point Arithmetic // ═══════════════════════════════════════════════════════════════════════════ module q16_16_add ( input [15:0] a, input [15:0] b, output [15:0] sum ); assign sum = a + b; endmodule module q16_16_sub ( input [15:0] a, input [15:0] b, output [15:0] diff ); assign diff = a - b; endmodule module q16_16_mul ( input [15:0] a, input [15:0] b, output [15:0] product ); wire [31:0] temp; assign temp = a * b; assign product = temp[30:15]; // Extract Q16.16 result endmodule module q16_16_div ( input [15:0] numerator, input [15:0] denominator, output [15:0] quotient ); wire [31:0] temp; assign temp = (numerator << 16) / denominator; assign quotient = temp[15:0]; endmodule module q16_16_compare ( input [15:0] a, input [15:0] b, output lt, output eq, output gt ); assign lt = (a < b); assign eq = (a == b); assign gt = (a > b); endmodule // ═══════════════════════════════════════════════════════════════════════════ // SSS Monitor Module - Layer 6 // ═══════════════════════════════════════════════════════════════════════════ module sss_monitor ( input wire clk, input wire reset_n, input wire [15:0] routing_load, // L_R input wire [15:0] memory_load, // L_M input wire [15:0] extraneous_weight, // λ_E input wire [15:0] engram_length, // ℓ input wire [15:0] extraneous_gradient, // ‖∇L_E‖ input wire [15:0] heel_dig_limit, // σ_sys output wire [15:0] sss_constant, output wire slip_threshold_crossed, output wire mode_survival_trigger ); // Counter-torque: L_R + L_M wire [15:0] counter_torque; q16_16_add counter_torque_inst ( .a(routing_load), .b(memory_load), .sum(counter_torque) ); // Torsional term: λ_E · ℓ · ‖∇L_E‖ wire [15:0] temp1; wire [15:0] torsional_term; q16_16_mul mul1_inst ( .a(extraneous_weight), .b(engram_length), .product(temp1) ); q16_16_mul mul2_inst ( .a(temp1), .b(extraneous_gradient), .product(torsional_term) ); // SSS constant: counter_torque - torsional_term q16_16_sub sss_inst ( .a(counter_torque), .b(torsional_term), .diff(sss_constant) ); // Slip threshold: Φ_sss < -σ_sys wire [15:0] negative_heel_dig; assign negative_heel_dig = -heel_dig_limit; wire sss_lt_threshold; q16_16_compare compare_inst ( .a(sss_constant), .b(negative_heel_dig), .lt(sss_lt_threshold), .eq(), .gt() ); // Register slip threshold crossing reg slip_crossed_reg; always @(posedge clk or negedge reset_n) begin if (!reset_n) begin slip_crossed_reg <= 1'b0; end else begin slip_crossed_reg <= sss_lt_threshold; end end assign slip_threshold_crossed = slip_crossed_reg; // MODE_SURVIVAL trigger (with hysteresis) reg [3:0] slip_counter; always @(posedge clk or negedge reset_n) begin if (!reset_n) begin slip_counter <= 4'h0; end else if (sss_lt_threshold) begin if (slip_counter < 4'hF) slip_counter <= slip_counter + 4'h1; end else begin slip_counter <= 4'h0; end end assign mode_survival_trigger = (slip_counter >= 4'h8); // 8 consecutive crossings endmodule // ═══════════════════════════════════════════════════════════════════════════ // Sigmoid Function (Q16.16) - Piecewise Linear Approximation // ═══════════════════════════════════════════════════════════════════════════ module sigmoid_q16_16 ( input wire [15:0] x, output wire [15:0] y ); // Piecewise linear approximation for sigmoid // sigmoid(x) ≈ 0 for x < -5, 1 for x > 5, (x+5)/10 otherwise wire x_lt_neg5, x_gt_pos5; wire [15:0] x_plus_5, x_div_10; assign x_lt_neg5 = (x < 16'h8000); // -5.0 in Q16.16 assign x_gt_pos5 = (x > 16'h5000); // 5.0 in Q16.16 q16_16_add add_inst ( .a(x), .b(16'h5000), // 5.0 .sum(x_plus_5) ); q16_16_div div_inst ( .numerator(x_plus_5), .denominator(16'hA000), // 10.0 .quotient(x_div_10) ); assign y = x_lt_neg5 ? 16'h0000 : (x_gt_pos5 ? 16'hFFFF : x_div_10); endmodule // ═══════════════════════════════════════════════════════════════════════════ // Warp Metric Module - Layer 7 // ═══════════════════════════════════════════════════════════════════════════ module virtual_warp_metric ( input wire clk, input wire reset_n, input wire [15:0] kappa, // κ input wire [15:0] sss_constant, input wire [15:0] opcode_efficacy, // Ω_opcode input wire [15:0] local_velocity, input wire [15:0] coherence, // φ input wire [15:0] proper_time, // dτ input wire [15:0] entropy_displacement, // dH output wire [15:0] virtual_warp_value, // f(x_i) output wire [15:0] effective_velocity, output wire [15:0] virtual_warp_metric_value ); // Warp function: f(x_i) = sigmoid(-κ·Φ_sss) · Ω_opcode wire [15:0] neg_kappa_sss; q16_16_mul mul_kappa_inst ( .a(-kappa), .b(sss_constant), .product(neg_kappa_sss) ); sigmoid_q16_16 sigmoid_inst ( .x(neg_kappa_sss), .y(virtual_warp_value) ); wire [15:0] virtual_warp_final; q16_16_mul mul_warp_inst ( .a(virtual_warp_value), .b(opcode_efficacy), .product(virtual_warp_final) ); // Effective velocity: v_eff = v_local / (1 - φ) wire [15:0] one_minus_coherence; wire [15:0] denominator; q16_16_sub sub_coherence_inst ( .a(16'hFFFF), // 1.0 .b(coherence), .diff(one_minus_coherence) ); // Avoid division by zero assign denominator = (one_minus_coherence == 16'h0000) ? 16'hFFFF : one_minus_coherence; q16_16_div div_velocity_inst ( .numerator(local_velocity), .denominator(denominator), .quotient(effective_velocity) ); // Warp metric: dI² = -dτ² + (dH - v_eff · f · Ω · dτ)² wire [15:0] time_term; wire [15:0] space_term_inner; wire [15:0] space_term; wire [15:0] warp_coupling; // f · Ω q16_16_mul mul_time_inst ( .a(-proper_time), .b(proper_time), .product(time_term) ); assign virtual_warp_coupling = virtual_warp_final; wire [15:0] v_eff_warp_dtau; q16_16_mul mul_space1_inst ( .a(effective_velocity), .b(virtual_warp_coupling), .product(v_eff_warp_dtau) ); q16_16_mul mul_space2_inst ( .a(v_eff_warp_dtau), .b(proper_time), .product(space_term_inner) ); q16_16_sub sub_space_inst ( .a(entropy_displacement), .b(space_term_inner), .diff(space_term) ); q16_16_mul mul_space_final_inst ( .a(space_term), .b(space_term), .product(virtual_warp_metric_value) ); endmodule // ═══════════════════════════════════════════════════════════════════════════ // FAMM Scheduler Module // ═══════════════════════════════════════════════════════════════════════════ module famm_scheduler ( input wire clk, input wire reset_n, input wire [15:0] torsional_stress, // Σ² input wire [15:0] interlocking_energy, // I_lock input wire [15:0] laplacian_energy, // Δϕ output wire [15:0] famm_load, output wire [1:0] schedule_decision // 00: execute, 01: throttle, 10: defer ); // FAMM load: Σ² + I_lock + Δϕ wire [15:0] temp1; q16_16_add add1_inst ( .a(torsional_stress), .b(interlocking_energy), .sum(temp1) ); q16_16_add add2_inst ( .a(temp1), .b(laplacian_energy), .sum(famm_load) ); // Scheduling decision based on load thresholds wire load_lt_025, load_lt_050; assign load_lt_025 = (famm_load < 16'h4000); // 0.25 assign load_lt_050 = (famm_load < 16'h8000); // 0.5 // Combinational scheduling decision assign schedule_decision = load_lt_025 ? 2'b00 : (load_lt_050 ? 2'b01 : 2'b10); endmodule // ═══════════════════════════════════════════════════════════════════════════ // Topological Adapter Module // ═══════════════════════════════════════════════════════════════════════════ module topological_adapter ( input wire clk, input wire reset_n, input wire [15:0] cognitive_load, output wire [1:0] topology_metric // 00: relational, 01: semantic, 10: topological, 11: minimal ); // Topology adaptation based on cognitive load wire load_lt_025, load_lt_050, load_lt_075; assign load_lt_025 = (cognitive_load < 16'h4000); // 0.25 assign load_lt_050 = (cognitive_load < 16'h8000); // 0.5 assign load_lt_075 = (cognitive_load < 16'hC000); // 0.75 // Combinational topology selection assign topology_metric = load_lt_025 ? 2'b00 : (load_lt_050 ? 2'b01 : (load_lt_075 ? 2'b10 : 2'b11)); endmodule // ═══════════════════════════════════════════════════════════════════════════ // Complete NII Surface Driver // ═══════════════════════════════════════════════════════════════════════════ module nii_surface_driver ( input wire clk, input wire reset_n, // SSS inputs input wire [15:0] routing_load, input wire [15:0] memory_load, input wire [15:0] extraneous_weight, input wire [15:0] engram_length, input wire [15:0] extraneous_gradient, input wire [15:0] heel_dig_limit, // Warp metric inputs input wire [15:0] kappa, input wire [15:0] opcode_efficacy, input wire [15:0] local_velocity, input wire [15:0] coherence, input wire [15:0] proper_time, input wire [15:0] entropy_displacement, // FAMM inputs input wire [15:0] torsional_stress, input wire [15:0] interlocking_energy, input wire [15:0] laplacian_energy, // Topological input input wire [15:0] cognitive_load, // Outputs output wire [15:0] sss_constant_out, output wire slip_threshold_crossed, output wire mode_survival_trigger, output wire [15:0] virtual_warp_value_out, output wire [15:0] effective_velocity_out, output wire [15:0] virtual_warp_metric_out, output wire [15:0] famm_load_out, output wire [1:0] schedule_decision_out, output wire [1:0] topology_metric_out ); // SSS monitor instance wire [15:0] sss_constant_wire; sss_monitor sss_inst ( .clk(clk), .reset_n(reset_n), .routing_load(routing_load), .memory_load(memory_load), .extraneous_weight(extraneous_weight), .engram_length(engram_length), .extraneous_gradient(extraneous_gradient), .heel_dig_limit(heel_dig_limit), .sss_constant(sss_constant_wire), .slip_threshold_crossed(slip_threshold_crossed), .mode_survival_trigger(mode_survival_trigger) ); assign sss_constant_out = sss_constant_wire; // Warp metric instance wire [15:0] warp_value_wire; wire [15:0] effective_velocity_wire; wire [15:0] warp_metric_wire; virtual_warp_metric virtual_warp_inst ( .clk(clk), .reset_n(reset_n), .kappa(kappa), .sss_constant(sss_constant_wire), .opcode_efficacy(opcode_efficacy), .local_velocity(local_velocity), .coherence(coherence), .proper_time(proper_time), .entropy_displacement(entropy_displacement), .virtual_warp_value(virtual_warp_value_wire), .effective_velocity(effective_velocity_wire), .virtual_warp_metric_value(virtual_warp_metric_wire) ); assign virtual_warp_value_out = virtual_warp_value_wire; assign effective_velocity_out = effective_velocity_wire; assign virtual_warp_metric_out = virtual_warp_metric_wire; // FAMM scheduler instance wire [15:0] famm_load_wire; wire [1:0] schedule_decision_wire; famm_scheduler famm_inst ( .clk(clk), .reset_n(reset_n), .torsional_stress(torsional_stress), .interlocking_energy(interlocking_energy), .laplacian_energy(laplacian_energy), .famm_load(famm_load_wire), .schedule_decision(schedule_decision_wire) ); assign famm_load_out = famm_load_wire; assign schedule_decision_out = schedule_decision_wire; // Topological adapter instance wire [1:0] topology_metric_wire; topological_adapter topo_inst ( .clk(clk), .reset_n(reset_n), .cognitive_load(cognitive_load), .topology_metric(topology_metric_wire) ); assign topology_metric_out = topology_metric_wire; endmodule // ═══════════════════════════════════════════════════════════════════════════ // Testbench // ═══════════════════════════════════════════════════════════════════════════ module nii_surface_driver_tb; reg clk; reg reset_n; // SSS inputs reg [15:0] routing_load; reg [15:0] memory_load; reg [15:0] extraneous_weight; reg [15:0] engram_length; reg [15:0] extraneous_gradient; reg [15:0] heel_dig_limit; // Warp metric inputs reg [15:0] kappa; reg [15:0] opcode_efficacy; reg [15:0] local_velocity; reg [15:0] coherence; reg [15:0] proper_time; reg [15:0] entropy_displacement; // FAMM inputs reg [15:0] torsional_stress; reg [15:0] interlocking_energy; reg [15:0] laplacian_energy; // Topological input reg [15:0] cognitive_load; // Outputs wire [15:0] sss_constant_out; wire slip_threshold_crossed; wire mode_survival_trigger; wire [15:0] virtual_warp_value_out; wire [15:0] effective_velocity_out; wire [15:0] virtual_warp_metric_out; wire [15:0] famm_load_out; wire [1:0] schedule_decision_out; wire [1:0] topology_metric_out; // Instantiate DUT nii_surface_driver dut ( .clk(clk), .reset_n(reset_n), .routing_load(routing_load), .memory_load(memory_load), .extraneous_weight(extraneous_weight), .engram_length(engram_length), .extraneous_gradient(extraneous_gradient), .heel_dig_limit(heel_dig_limit), .kappa(kappa), .opcode_efficacy(opcode_efficacy), .local_velocity(local_velocity), .coherence(coherence), .proper_time(proper_time), .entropy_displacement(entropy_displacement), .torsional_stress(torsional_stress), .interlocking_energy(interlocking_energy), .laplacian_energy(laplacian_energy), .cognitive_load(cognitive_load), .sss_constant_out(sss_constant_out), .slip_threshold_crossed(slip_threshold_crossed), .mode_survival_trigger(mode_survival_trigger), .virtual_warp_value_out(virtual_warp_value_out), .effective_velocity_out(effective_velocity_out), .virtual_warp_metric_out(virtual_warp_metric_out), .famm_load_out(famm_load_out), .schedule_decision_out(schedule_decision_out), .topology_metric_out(topology_metric_out) ); // Clock generation (50MHz) initial clk = 0; always #10 clk = ~clk; // Test stimulus initial begin // Initialize inputs reset_n = 0; routing_load = 16'h8000; // 1.0 (assuming Q1.15 or similar) memory_load = 16'h6000; // 0.75 extraneous_weight = 16'h4000; // 0.5 engram_length = 16'h3000; // 0.375 extraneous_gradient = 16'h1000; // 0.125 heel_dig_limit = 16'h4000; // 0.5 kappa = 16'h8000; // 1.0 opcode_efficacy = 16'h7FFF; // 1.0 local_velocity = 16'h8000; // 1.0 coherence = 16'h6000; // 0.75 proper_time = 16'h0500; // small dt entropy_displacement = 16'h1000; torsional_stress = 16'h8000; interlocking_energy = 16'h4000; laplacian_energy = 16'h2000; cognitive_load = 16'h0000; // 0.0 #20; reset_n = 1; #100; $display("SSS Constant: %h", sss_constant_out); $display("Slip Threshold Crossed: %b", slip_threshold_crossed); $display("Virtual Warp Value: %h", virtual_warp_value_out); $display("Effective Velocity: %h", effective_velocity_out); $display("Virtual Warp Metric: %h", virtual_warp_metric_out); $display("FAMM Load: %h", famm_load_out); $display("Schedule Decision: %b", schedule_decision_out); $display("Topology Metric: %b", topology_metric_out); #100; cognitive_load = 16'h8000; // 0.5 - trigger topology change #100; $display("Topology Metric after load: %b", topology_metric_out); #100; $finish; end endmodule