[hpc-announce] Call for Papers: 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), May, 2025, Kumamoto, Japan

[Kentaro Sano]

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CALL FOR PAPERS
International Symposium on Highly Efficient Accelerators
and Reconfigurable Technologies (HEART)

May 26-28, 2025, Kumamoto City, Japan
Submission due: Feb 17, 2025
https://urldefense.us/v3/__https://sites.google.com/view/heart2025__;!!G_uCfscf7eWS!boJSWxfi4P8TQ8UNSK3MKGr4XHcEDvX21kID2TYjcsFTch7Y7oPAK1vednUXtFYSOoq2e1G8xHaWkhHihvLeso70EwSg$ 
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The International Symposium on Highly Efficient Accelerators and
Reconfigurable Technologies (HEART) is a forum to present and
discuss new research on computing systems utilizing acceleration
technology. The main theme of HEART is achieving high efficiency
with accelerators. Today, performance acceleration with high
efficiency is highly demanded in various computing domains such
as high-performance computing and data centers.

In HEART 2025, we focus on power, energy and algorithmic efficiency on
the AI technology such as LLM (large-language model) and beyond. We
also focus on technologies related to quantum computing.

[ Topics of Interest ]

- Architectures for Efficient Acceleration
  - Novel systems/platforms based on FPGA, GPU, and other devices
  - Heterogeneous processor architectures and systems for
    high-performance and/or low-power
  - Domain-specific architectures
  - Accelerator and system-level architecture for LLM
  - Edge technologies for LLM
  - Neuromorphic computing and architecture
  - Novel systems for quantum computing: qubit simulation, operation and
    error correction

- Design Methods and Tools for Efficient Acceleration
  - Programming paradigms, languages, and frameworks
  - Compilers and High-level synthesis tools
  - Runtime methodologies for heterogeneous systems
  - Performance evaluation and analysis
  - LLM-based design method
  - AI-supported code generation / debugging

- Applications and Systems
  - Application examples that benefit from efficient acceleration
    to a great extent
  - Complete systems showing increased energy efficiency and/or performance
  - Comparisons between accelerator technologies
  - AI for science with higher productivity
  - Efficient models and algorithms for LLM
  - Applications with efficient LLM/Neuromorphic accelerators
  - Benchmarks for ML/LLM

[ Important Dates ]

Submission due:    Feb. 17, 2025
Notification:      Mar. 10, 2025
Conference Date:   May. 26-28, 2025

[ Organizing Committee ]

General chair
   Yasunori Osana (Kumamoto U.)
Vice co-chairs
   Kentaro Sano (RIKEN)
   Yoshiki Yamaguchi (U. Tsukuba)
Program co-chairs
   Tomohiro Ueno (RIKEN)
   Ameer Abdelhadi (McMaster U.)
   Dirk Koch (Heidelberg U.)
Publication chair
   Yukinori Sato (Toyohashi U. of Tech)
Workshop co-chairs
   Akram Ben Ahmed (AIST JP)
   Takefumi Miyoshi (QuEL, Inc. & e-trees Japan, Inc.)
Financial Chair
   Takeshi Ohkawa (Kumamoto U.)