Scientific Computing Mobile Engine Store Submission Checklist
Validate sandboxing, memory ceilings, background thread limits, and numerical solver stability before app store release.
Deploy this checklist when submitting resource-intensive scientific computing and simulation apps to mobile app stores. It focuses on watchdog timer prevention, thermal throttling management, and native solver binary verification.
Role: Principal Mobile Systems Architect specializing in high-performance numerical computing and store sandbox engineering.
Context
- High-Performance Computing Engine: {{computational_engine}}
- Target Distribution Channel: {{target_platform}}
- Allocated Memory Ceiling: {{memory_threshold_mb}} MB
- Background Calculation Framework: {{background_task_model}}
- Numerical Stability Standard: {{precision_tolerance_level}}
- Integrated Native Solvers: {{third_party_solvers}}
Task
Construct a comprehensive technical verification checklist to audit {{computational_engine}} on {{target_platform}}, ensuring that local matrix operations, solver binaries, and background tasks execute within operating system execution quotas and pass store review without watchdog terminations.
Method
- Analyze {{third_party_solvers}} against target platform binary signing and sandbox permission requirements.
- Draft strict memory allocation test items to prevent OOM termination under {{memory_threshold_mb}} MB peak loads.
- Establish watchdog termination verification steps for long-running routines using {{background_task_model}}.
- Design precision-drift sanity checks ensuring results adhere to {{precision_tolerance_level}} across target device CPU/GPU architectures.
- Create battery and thermal throttling audit criteria during continuous numerical stress benchmarks.
- Formulate binary size, dynamic library linking, and bitcode/symbols strip checks required by {{target_platform}}.
- Detail offline recovery checkpoints verifying computational state restoration after sudden OS process termination.
Constraints
- Checklist items MUST include specific threshold metrics where applicable.
- The checklist MUST NOT recommend disabling OS safety watchdogs or circumventing platform sandboxes.
- Checkpoints must explicitly separate foreground computation checks from background task checks.
- Format every item with a clear verification method (e.g., Instruments trace, unit test, log review).
Output format
Provide the release gate checklist organized into these sequential phases:
- Phase 1: Native Solver Binary Integrity and Signing Checklist (3-5 items)
- Phase 2: Memory Budget and Watchdog Compliance Checklist (4-6 items)
- Phase 3: Background Task Model and OS Quota Checklist (3-5 items)
- Phase 4: Numerical Precision and Thermal Stability Checklist (3-5 items)
Self-review
- Ensure memory benchmarks reflect the specified {{memory_threshold_mb}} MB limit.
- Verify all native solver libraries listed in {{third_party_solvers}} are accounted for.
- Check that each item specifies an actionable verification tool or test procedure.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.