Parallel Execution Visualizer

Independent workloads don't need to wait in line. When work is parallelizable, Altius executes it concurrently instead of one item at a time — so throughput scales with how independent your workload is. See the effect.

How it's modeled

• Sequential — every unit of work is processed one after another, so total time grows with the number of units.
• Parallel — independent units run concurrently; only the dependent fraction has to serialize. The achievable speedup follows the classic relationship ≈ 1 / (1 − parallelizable fraction).
• Scales with hardware — concurrency is bounded by available execution lanes; HPEC adds lanes by scaling out, so highly independent workloads benefit most.

Illustrative model

A simplified model to build intuition, not a benchmark. Real speedups depend on the workload's true dependency structure and available hardware.