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Paper Abstract and Keywords
Presentation 2026-06-01 15:15
Scalability Evaluation of CGLA \with High-Bandwidth Memory for LLM Inference
Yoshifumi Munakata, Takuto Ando, Yasuhiko Nakashima (NAIST) CPSY2026-2 DC2026-2 RECONF2026-2
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a simulation model for predicting performance bottlenecks in future IMAX architectures equipped with high-bandwidth memory, such as 3D-stacked DRAM, targeting the execution of AI applications—particularly LLM inference—on the CGLA accelerator IMAX. Based on this model, we further present an estimation method for studying memory configurations according to the scalability requirements of IMAX. In addition, we discuss approaches to addressing potential host-side performance bottlenecks that may emerge with the introduction of high-bandwidth memory, and present a scalability strategy based on two-dimensional expansion through the combination of IMAX parallelization and cascade interconnection.
Keyword (in Japanese) (See Japanese page) 
(in English) CGLA / AI Accelerator / 3D-Stacked DRAM / HBM / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 49, CPSY2026-2, pp. 7-10, June 2026.
Paper # CPSY2026-2 
Date of Issue 2026-05-25 (CPSY, DC, RECONF) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CPSY2026-2 DC2026-2 RECONF2026-2

Conference Information
Committee CPSY DC RECONF IPSJ-ARC  
Conference Date 2026-06-01 - 2026-06-03 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CPSY 
Conference Code 2026-06-CPSY-DC-RECONF-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Scalability Evaluation of CGLA \with High-Bandwidth Memory for LLM Inference 
Sub Title (in English)  
Keyword(1) CGLA  
Keyword(2) AI Accelerator  
Keyword(3) 3D-Stacked DRAM  
Keyword(4) HBM  
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1st Author's Name Yoshifumi Munakata  
1st Author's Affiliation Nara Institution of Science and Technology (NAIST)
2nd Author's Name Takuto Ando  
2nd Author's Affiliation Nara Institution of Science and Technology (NAIST)
3rd Author's Name Yasuhiko Nakashima  
3rd Author's Affiliation Nara Institution of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2026-06-01 15:15:00 
Presentation Time 20 minutes 
Registration for CPSY 
Paper # CPSY2026-2, DC2026-2, RECONF2026-2 
Volume (vol) vol.126 
Number (no) no.49(CPSY), no.50(DC), no.51(RECONF) 
Page pp.7-10 
#Pages 4 
Date of Issue 2026-05-25 (CPSY, DC, RECONF) 

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