IEEE

Design of a Karatsuba Multiplier to Accelerate Digital Signature Schemes on Embedded Systems

Abstract: This paper presents the design and implementation of a Karatsuba multiplier to accelerate digital signature schemes on embedded systems. The Karatsuba algorithm is integrated into hardware ...
IEEE

An Efficient Overlap-Free Karatsuba Finite-Field Multiplier on FPGA

Abstract: Finite field multipliers are widely used in various cryptography and coding system circuits. Due to their high complexity, the design quality of the multiplier determines the complexity and ...
GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...