Publications

IEEE 754-2019 compliant decimal128 high-performance software solution created by Miguel.

Whitepapers

Miguel's Own Work

These whitepapers are written by Miguel and cover the technical foundation of decimal128 — its encoding format, its conformance to the IEEE 754 and GDAS standards, and its performance against other implementations. Each whitepaper is a standalone piece.

Independent Reviews

Independent Analysis

Independent, standards-anchored reviews of decimal floating-point implementations — the decimal types shipping in mainstream languages and platforms — measured against the published standards and against a conformant reference implementation.

Each review is published per release of the thing under review, and each one stands on its own: you can read any single edition end to end without the others.

Who is doing this, and why?

Miguel is an independent decimal128 specialist, and is not affiliated with any of the teams whose work is reviewed here. He maintains his own conformant decimal128 implementation (d128) across several languages, together with a cross-checking (“Rosetta”) suite that verifies results bit-for-bit against the recognized decimal test corpora: the Cowlishaw/IBM decTest vectors, the IBM FPgen fptest suite, and the Intel libbid reference. That implementation and that suite are the lens for everything in these reviews.

The bar is the published standards, named explicitly and never left vague: IEEE 754-2019 (the decimal formats and their arithmetic) and the General Decimal Arithmetic Specification (GDAS) by Mike Cowlishaw. Where a review says an operation is right or wrong, it means against those documents, with a clause reference where it matters.

Why do this, and why per release? Because the cheapest time to influence a numeric type is before its behavior calcifies into something real code depends on — and the fairest way to hold one to account is to re-measure it every release, giving credit for what improves and flagging what regresses, always against the standard rather than against opinion.

How to read these reviews

  • Correctness is graded against the standards. A conformance gap is stated as a gap, with the clause it violates.
  • Performance is reported, not graded. Speed improves release over release without breaking anyone, so benchmark numbers are evidence and a baseline for the next edition — not a verdict.
  • Real defects are separated from permitted or deliberate choices. IEEE 754 leaves genuine latitude in places; where an implementer exercises it, that is said plainly and not counted against them.
  • Each edition carries a status vocabulary — resolved / still open / newly introduced — so progress across releases is legible at a glance.
  • Each series keeps a running scorecard of its headline conformance measures, so the trend line is visible edition to edition.

The series

Target Under review Series
.NET System.Numerics.Decimal128 .NET reviews →

Additional languages and platforms will be added here as their decimal implementations are reviewed.