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TASK · FULL COSTS · COOLING

Engineering software: heat and cooling.

DEFINED TASK / COMPLETE MODEL

D066 · Calibration laboratory allocation

Both designs return the same required output fields, encoded response bytes and final state within this defined model. Each job contains 4 useful frames and repeats every 1,000 ms.

Input energy per job39,000.242067 → 39,000.242067 µJ
Total modeled energy saving0%
Heat saving at the modeled job rate0 mW

Input power: 0.039000242 → 0.039000242 W at 1 jobs/s. ΔQ̇ = (Eordinary − Eselected) / job period, for equal energy leaving in forms other than heat and equal stored-energy change. The input-power model includes the unchanged reference load and shared costs.

Ordinary → selected completion: 393.3 → 393.3 µs; required deadline 800,000 µs.

The changes included in this design.

The model compares the selected design with the best eligible conventional design in the study. Both include compatible improvements. The energy calculation counts logic, memory, clocks, connections, setup, idle time, resets and recovery once.

Compared designs and full energy breakdown

Selected: O_CPU::W_CPU_FIXED_100MB::BODY_POLICY

Strongest ordinary: O_CPU::W_CPU_FIXED_100MB::BODY_POLICY

Prior R6 selected policy: O_CPU::W_CPU_FIXED_100MB::BODY_POLICY. Extra saving against that policy: 0 µJ/job.

Input-referred termStrong ordinary (µJ)Selected (µJ)
common common host control W22,222.22222222,222.222222
common common memory W5,555.5555565,555.555556
common common clock sensor W11,111.11111111,111.111111
common plant or external load W00
installed FPGA shell00
generic accelerator clock distribution00
arithmetic resource leak00
cache leak00
allocated program data memory leak85.42555685.425556
additional array port capacity tariff00
occupied CPU units22.60933322.609333
DSP products00
adder bits00
nonadder LUT bits00
divider sequence00
register accesses00
accelerator control00
internal data instruction cache traffic0.3806220.380622
cache valid initialization00
conditional original B core dynamic00
conditional original B clock standby00
external canonical wrapper CPU2.7133332.713333
external request commit readback0.2243330.224333
cold host preparation00
cold logic program cache preparation00
R6 wrapper logic00
R6 wrapper internal fixed transfers00
R6 wrapper resource leak00
R6 wrapper memory leak00
R6 wrapper extra port leak00
Total39,000.24206739,000.242067

Exact totals: 585003631/15000000000 J versus 585003631/15000000000 J. Source models use declared physical coefficients.

Operating conditions, uncertainty and fitting the design into a product

One reference controller/processor, shared memory, sensor/clock rails and the stated unchanged external load; compute-specific increments and added resources are priced by the R5 common cost-law artifact.

Supply efficiency in the model: 90%. Shared loads and loads that stay unchanged: common host control W 0.02 W; common memory W 0.005 W; common clock sensor W 0.01 W; plant or external load W 0 W.

  • Evidence that the named task cost is alpha/delta rather than inverse-square or another law
  • Bindings from each alpha, weight and budget to the actual engineering error/effort limits
  • Mandatory discrete coverage and certificate/rounding/exactness contract
  • Named competent weighted allocator and complete pipeline costs

The portfolio has 13 savings at the main modeled point, 100 ties using the conventional fallback, and 7 unmatched comparisons across 120 references. Positive advantages passing both the strict and combined tighter uncertainty tests: 0.

APPLICATION COVERAGE

The comparison tasks.

Comparison jobInput energy saved per jobJob rateHeat reduction under the stated conditionsOutcome at the main modeled point
D066 · Calibration laboratory allocation0 µJ1/s0 mWConventional fallback: same energy
D081 · FPGA exact-allocation accelerator0 µJ100/s0 mWConventional fallback: same energy
D082 · FPGA nonlinear-DSP export tool0 µJ100/s0 mWConventional fallback: same energy
D083 · HPC simulation tolerance allocation0 µJ1/s0 mWConventional fallback: same energy
D084 · Cloud exact-solver service0 µJ100/s0 mWConventional fallback: same energy

These are computational models of defined tasks relevant to this application. Each selected design includes the compatible changes listed in its comparison.

YOUR PRODUCT’S THERMAL INPUTS

Calculate the cooling mass.

Use the heat carried by this cooling path and the weight of its installed parts, including added hardware. The comparison task’s average power change contributes to that total device calculation.

Chosen model: effective area follows Q = hAΔT; the fixed mass stays, the area-scaled mass changes, and added parts are charged.

Enter the product’s heat-path and part-weight values to calculate the cooling change.

Explore the calculation.

Heat energy = input energy − energy leaving in forms other than heat − change in stored energy.

All 120 reference rows, exact values, complete ledgers and source pins →All product thermal budgets and FI tools →