834 Collatz conjecture brute-forcer

834 : Collatz conjecture brute-forcer

Design render
  • Author: Vytautas Šaltenis
  • Description: Runs a Collatz sequence calculation for a given number
  • GitHub repository
  • Clock: 0 Hz

How it works

The module takes a (large) integer number N as an input and computes the Collatz sequence until it reaches 1. When it does, it allows reading back two numbers:

  1. The orbit length (i.e. the number of steps it took to reach 1)
  2. The highest recorded value of the upper 16 bits of the 144-bit internal iterator

The latter number is an indicator for good candidates for computing path records. The non-zero upper bits indicate that the highest iterator value Mx(N) is in the range of the previous path records and should be recomputed in the full offline. (Holding on to the entire 144 bits of Mx(N) number would be more obvious, but this almost doubles the footprint of the design, hence, this optimisation).

How to test

The module can be in 2 states: IO and COMPUTE. After reset, the chip will be in IO mode. Since the input is intended to be much larger than the available pins, the input number is uploaded one byte at a time, increasing the address of where in the internal 144-bit-wide register that byte should be stored.

Same for reading the output, except that the output numbers are limited to 16-bits each, so it takes much fewer operations to read them.

The full loop of computations works like this:

  1. Set input (see below)
  2. Pull start compute pin to high. The chip will start computations and will pull compute busy indicator pin to high
  3. Keep reading compute busy indicator pin until it gets low again
  4. Read the output (see below)

Writing input:

  1. Set write enable pin to low
  2. Wait at least one cycle
  3. Expose your input byte to input0-7
  4. Expose the target address for that byte to address0-4
  5. Wait at least one cycle
  6. Set write enable pin to high

Reading output:

  1. Set orbit/max select pin to low
  2. Set address0-4 to 0
  3. Read low byte of orbit length from output0-7
  4. Set address0-4 to 1
  5. Read high byte of orbit length from output0-7
  6. Set orbit/max select pin to high
  7. Repeat steps 2-5 to read the upper Mx(N) bits

IO

#InputOutputBidirectional
0input0output0address0
1input1output1address1
2input2output2address2
3input3output3address3
4input4output4address4
5input5output5orbit/max select
6input6output6start compute
7input7output7write enable or compute busy indicator

Chip location

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implementation of LIF) tt_um_algofoogle_tt09_ring_osc2 (Verilog ring oscillator V2) tt_um_dff_mem (dff_mem) tt_um_nomuwill (16 Bit Izhikevich Neuron) tt_um_digital_clock_example (7-Segment Digital Desk Clock) tt_um_udxs (Basic Perceptron + ReLU) tt_um_matrix_mult (Basic Matrix-Vector Multiplication) tt_um_db_MAC (8 bit MAC Unit) tt_um_anas_7193 (Programmable PWM Generator) tt_um_flyingfish800 (Verilog test project) tt_um_project (Basic LIF Neuron) tt_um_lifn (Integrate-and-Fire Neuron Circuit) tt_um_wokwi_413921836641882113 (ovl abc chip) tt_um_mickey_pll (pll) tt_um_rejunity_e2m0_x_i8_matmul (E2M0 x INT8 Systolic Array) tt_um_michaelmcculloch_alu (Michaels Tiny Tapeout ALU) tt_um_dog_BILBO (8-bit CBILBO) tt_um_stochastic_integrator_tt9_CL123abc (Stochastic Integrator) tt_um_vga_clock (VGA clock) tt_um_z2a_rgb_mixer (RGB Mixer demo) tt_um_samkho_two_channel_square_wave_generator (TwoChannelSquareWaveGenerator) tt_um_mattvenn_r2r_dac_3v3 (Analog 8 bit 3.3v R2R DAC) tt_um_b_10_array_multiplier (Lab B Group 10 Array Multiplier) tt_um_urish_giant_ringosc (Giant Ring Oscillator (3853 inverters)) tt_um_htfab_caterpillar (Simon's Caterpillar) tt_um_anders_tt_6502 (tt6502) tt_um_wokwi_414123795172381697 (TinySnake) tt_um_oscillating_bones (Oscillating Bones) tt_um_r2r_dac (4-bit R2R DAC) tt_um_tinytinfoil_saradc_dac (Noise test for a CDAC capacitor chain) tt_um_purdue_socet_uart (SoCET UART) tt_um_rejunity_sn76489 (Classic 8-bit era Programmable Sound Generator SN76489) tt_um_rejunity_ay8913 (Classic 8-bit era Programmable Sound Generator AY-3-8913) tt_um_tommythorn_cgates (Cgates) tt_um_09eksdee (eksdee) tt_um_13hihi31_tdc (Time to Digital Converter) tt_um_rejunity_decoder (ternary, E1M0, E2M0 decoders) tt_um_analog_example (Digital OTA) tt_um_kailinsley (Dynamic Threshold Leaky Integrate-and-Fire) tt_um_C6_array_multiplier (tt09-C6-array-multiplier) tt_um_rejunity_vga_test01 (VGA Drop (audio/visual demo)) tt_um_wallento_4bit_toycpu (4-Bit Toy CPU) tt_um_warp (Warp) tt_um_algofoogle_tt09_ring_osc3 (Verilog ring oscillator V3) tt_um_kev_ma_matmult222 (2-bit 2x2 Matrix Multiplier) tt_um_wokwi_414041465275103233 (SK Test Workshop) tt_um_rejunity_vga_logo (VGA Tiny Logo (1 tile)) tt_um_toivoh_demo (Sequential Shadows [TT08 demo competition]) tt_um_liaf (A simple leaky integrate and fire neuron) tt_um_wokwi_413879612498222081 (Clocked Display) tt_um_wokwi_413919625901452289 (Encoder) tt_um_wokwi_413919442353385473 (Encoder) tt_um_wokwi_413919540668975105 (First Tapeout Chip - OCR) tt_um_wokwi_413918022277139457 (Half Adder) tt_um_wokwi_414120435095328769 (Kai's Death Adder) tt_um_wokwi_413919775044656129 (Kevin Project) tt_um_lif_network_MR (Leaky Neuron Network) tt_um_lsnn_hschweig (Neuromorphic Hardware for SNN LSTM) tt_um_wokwi_413387065963362305 (Project) tt_um_Nishanth_RISCV (RISCV Processor Design) tt_um_wokwi_413883347321632769 (Test_project) tt_um_KoushikCSN_RISCV (RISCV Processor Design) tt_um_wokwi_414120868401584129 (Tian TT9) tt_um_wokwi_414120391864616961 (Tiniest of tapeouts) tt_um_wokwi_414120458938907649 (Who knows what's happening Tiny Tapeout) tt_um_wokwi_413919833599252481 (YoshiTP) tt_um_wokwi_414118269335820289 (chip_fab) tt_um_wokwi_414121281003682817 (dummy) tt_um_wokwi_414124471705253889 (sarah's first chip) tt_um_ccu_goatgate (tiny cipher 4 bit key) tt_um_wokwi_414120526876163073 (2 input multiplexor) tt_um_lif_ZB (Tutorial: Simple LIF Neuron) Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available