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 ...
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 ...
VentureBeat

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...
GitHub

LEAP: Evolutionary Algorithms in Python

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.
IEEE

High-Speed and Secure ECC Processor for Chinese SM2 Using Modified Karatsuba Multiplier Based on FPGA

Abstract: High-performance throughput is a critical issue in the hardware implementation of elliptic curve cryptography (ECC). This paper presents the construction of a high-speed ECC processor based ...