9 | | * If your application generates exactly matching results (either because it does no floating-point arithmetic, or because you use [HomogeneousRedundancy homogeneous redundancy]) then you can use the 'sample bitwise validator' (see below). |
10 | | * If you are using BOINC for 'desktop grid' computing (i.e. you trust all the participating hosts) then you can use the 'sample trivial validator' (see below). |
11 | | * Otherwise, you'll need to develop a custom validator for your application. BOINC supplies a [ValidationSimple simple validator framework] in which you plug in a few short application-specific functions. This is sufficient for most projects. If you need more control over the validation process, you can use BOINC's [ValidationLowLevel low-level validator framework]. |
| 9 | * If your application generates exactly matching results (either because it does no floating-point arithmetic, or because you use [HomogeneousRedundancy homogeneous redundancy]) then you can use the 'sample bitwise validator' (see below). |
| 10 | * If you are using BOINC for 'desktop grid' computing (i.e. you trust all the participating hosts) then you can use the 'sample trivial validator' (see below). |
| 11 | * Otherwise, you'll need to develop a custom validator for your application. |
| 12 | BOINC supplies a [ValidationSimple validator framework] in which you plug in a few short application-specific functions. |