arXiv Open Access 2024

Hardware for converting floating-point to the microscaling (MX) format

Danila Gorodecky Leonel Sousa

Lihat Sumber

Abstrak

This paper proposes hardware converters for the microscaling format (MX-format), a reduced representation of floating-point numbers. We present an algorithm and a memory-free hardware model for converting 32 single-precision floating-point numbers to MX-format. The proposed model supports six different types of MX-format: E5M2, E4M3, E3M2, E2M3, E2M1, and INT8. The conversion process consists of three steps: calculating the maximum absolute value among 32 inputs, generating a shared scale, and producing 32 outputs in the selected MX-format type. The hardware converters were implemented in FPGA, and experimental results demonstrate.

Topik & Kata Kunci

cs.AR

Penulis (2)

Danila Gorodecky

Leonel Sousa

Format Sitasi

APA MLA BibTeX

Gorodecky, D., Sousa, L. (2024). Hardware for converting floating-point to the microscaling (MX) format. https://arxiv.org/abs/2411.03149

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓