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FPTalks 2025

The leading edge of floating-point research

The floating-point research community.
Online. July 10, 2025.
Register to attend!
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Welcome

Session 1

Some thoughts on Floating Point

Jean-Michel Muller, CNRS

APyTypes: Flexible Data Types for Finite Word Length Simulations in Python

Theodor Lindberg, Linköping University

Vector-friendly floats with 64n-bit precision

Fredrik Johansson, Inria Bordeaux

Software-Defined Floating-Point Number Formats

Amir Sabbagh Molahosseini, Queen's University Belfast

Break

Session 2

Floating point for AI

Andrew Fitzgibbon, Graphcore

A Datapath Dialect for Representing Operations with Carry-Save Results

Sam Coward, University College London

Upstreaming Arm-Optimized Vector Math Routines

Pierre Blanchard, ARM

Scaling Arithmetic via Bitblasting in Probabilistic Programs

Poorva Garg, UCLA

Break

Session 3

Detecting Numerical Instability in ML Code via Soft Assertions

Wei Le, Iowa State

Correctly Rounded Randomness

Nima Badizadegan, Anthropic

Accurate and Efficient Formats for LLMs

Jordan Dotzel, Cornell University

Experiments in Double-Double

Pavel Panchekha, University of Utah

Conclusion

For more information, please see the FPBench project and check out past recordings from: