AUTOMATING THE DESIGN OF GAMING GRAPHICS PROCESSORS: ARCHITECTURE OPTIMIZATION METHODS FOR RAY TRACING AND AI ACCELERATION

Ten R. V.; Kandaurov I. A.; Tatarenkov E. A.

doi:doi:10.58168/MIST2025_646-650

Home / Conferences / MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2025 / Materials of the International Scientific and Practical Conference dedicated to the 95th anniversary of Voronezh State Forest Engineering University named after G. F. Morozov and the 80th anniversary of the Victory in the Great Patriotic War of 1941-1945 «MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2025»

AUTOMATING THE DESIGN OF GAMING GRAPHICS PROCESSORS: ARCHITECTURE OPTIMIZATION METHODS FOR RAY TRACING AND AI ACCELERATION

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AUTOMATING THE DESIGN OF GAMING GRAPHICS PROCESSORS: ARCHITECTURE OPTIMIZATION METHODS FOR RAY TRACING AND AI ACCELERATION

Section: SECTION 3. MODERN ELECTRONIC COMPONENT BASE

Proceedings: MATERIALS OF THE INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE DEDICATED TO THE 95TH ANNIVERSARY OF VORONEZH STATE FOREST ENGINEERING UNIVERSITY NAMED AFTER G. F. MOROZOV AND THE 80TH ANNIVERSARY OF THE VICTORY IN THE GREAT PATRIOTIC WAR OF 1941-1945 «MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2025»

UDC 004.92

Ten R. V. ¹

Kandaurov I. A. ²

Tatarenkov E. A. ³

Author and publication information

Authors:

1. Voronezh State University of Forestry and Technologies named after G.F. Morozov

2. Voronezh State University of Forestry and Technologies named after G.F. Morozov

3. Voronezh State University of Forestry and Technologies named after G.F. Morozov

Type:

Сonference article

DOI:

https://doi.org/10.58168/MIST2025_646-650

Published:

29.07.2025

Subject area:

UDC 004.92

Language:

Russian

Keywords:

graphics processors, AI acceleration, Ray tracing, design automation, machine learning

Abstract and keywords

Abstract (English):
The article provides an overview of methods for automating the design of gaming graphics processors (GPUs) with an emphasis on optimizing the architecture to support ray tracing and AI acceleration technologies. The uniqueness of the work lies in the analysis of architecture optimization methods that can improve GPU performance in rendering and AI computing tasks, as well as reduce the development time of new processors.

Keywords:
graphics processors, AI acceleration, Ray tracing, design automation, machine learning

References

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