Impact
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The New Physics of Software
Software used to be constrained by CPU speed. Now its constrained by power density, cooling, and water.
When execution is unpredictable, systems overprovision, burn energy, and extend thermal load. The result is a world where compute is no longer just performanceits a resource footprint. TALPs (Time-Affecting Linear Pathways) make execution measurable, predictable, and controllableso we can do more work with less waste.
These are the external constraints shaping modern computing. Our thesis: the next big performance gains come from making execution predictablenot just adding hardware.
Compute became infrastructure
Adding cores doesnt guarantee better outcomes. Energy, heat, and scheduling overhead can rise faster than useful work.
Cooling isnt a footnote anymore. Water consumption becomes a regional limiter as thermal density increases.
AI-scale workloads amplify variability and intensityexposing the cost of unknown execution paths and best-effort parallelism.
Software cant predict itself at runtime
Weve been flying blind
- How long will this program take for this input?
- How many processing elements are actually optimal?
- Which execution path will activate?
- What is the energy cost per result?
When those answers are unknown, systems overprovision, overschedule, and overconsumeby design.
Predictable execution changes the economics
TALPs decompose software into execution pathways that can be measured, modeled, and predictedenabling systems to choose the right parallel configuration for each workload, rather than a one-size-fits-all guess.
Make performance an optimized decision
TALPs are designed to predict runtime and resource needs for a given program and valid input dataset.
Convert more cores into right cores, selecting the best configuration to meet latency, cost, or energy targets.
Shorten sustained thermal load by minimizing wasted cycleslowering energy per result and easing cooling (and water) pressure.
TALPs enable prediction of processing time and memory needs for a given program and input datasetand from that, control of system behavior to meet time or memory goals while minimizing energy use and footprint.
(See internal executive summary.)
Impact is the why. Technology and Solutions are the how.
If compute is now constrained by power and water, the next frontier is predictable execution. TALPs provide the model. Our platform and workflows make it deployable.