Why Open-Source ASIC IP Is Hard: FMA From RTL to GDSII
November 2, 2023
An open fused multiply-add unit requires far more than publishing RTL. The reusable package must capture floating-point semantics, verification, synthesis constraints, process assumptions, floorplanning, timing closure, power, routing, extraction, and signoff.
Brian Greenforest explains why the GDSII-to-RTL feedback loop and expensive proprietary tools make open ASIC IP harder than open software.
The Arithmetic Reaches Into Physical Design
FMA combines multiplication and addition with one final rounding, so exponent alignment, partial products, normalization, exceptions, precision, and IEEE 754 behavior interact throughout the datapath.
Wire delay, fanout, clocking, placement, cell libraries, process corners, and power grids then reshape the logical design. Engineers must iterate between physical results and RTL architecture.
Open the Complete Know-How Stack
A Cadence seat can cost around $80,000 per year, while foundry rules and corporate practice often remain closed. That structure concentrates the experience required to turn a correct module into manufacturable silicon.
Universities, chip companies, foundries, and open-tool teams can publish verified arithmetic blocks with reproducible physical flows. Open FMA IP can become infrastructure for an entire generation of independent AI-chip builders.
Build the Arithmetic Beneath Why Open-Source ASIC IP Is Hard: FMA From RTL to GDSII
The Bit-Serial Bubbles-Free Multiplier turns local switching, state, and scheduling into a complete arithmetic engine.
LinkedIn status when archived: Visible to anyone on or off LinkedIn.
Keep in mind it takes AMD and academia in Texas to make a new A x B + C chip compute unit. The complexity of a simple FPU FMA is overwhelming not because it's hard, but because of corporate closed-source know-how and really difficult way to reason about GDSII <-> RTL back-and-forth (think $80k/year per a Cadence seat). Linux is muuuuuch easier to open-source than ASIC IP. Chips are for rich large closed source proprietary Dark Black Magic IP Holders. Just admit it.
Comments added by Brian Greenforest on LinkedIn
These 3 comments were also preserved verbatim from Brian Greenforest’s LinkedIn data export or the public post page.
Comment 1 · (2023-11-02 17:29:05 UTC)
Apple, Nvidia, Tesla, Samsung, AMD, Intel, IBM, Qualcomm all have enough brainpower and $80k/seat/year to pay Cadence for awesome re-layouting software.
Comments added by Brian Greenforest on LinkedIn
These 3 comments were also preserved verbatim from Brian Greenforest’s LinkedIn data export or the public post page.
Comment 1 · (2023-11-02 17:29:05 UTC)
View the LinkedIn post
Comment 2 · (2023-11-02 17:35:50 UTC)
View the LinkedIn post
Comment 3 · (2023-11-02 17:37:31 UTC)
View the LinkedIn post