CfP: POAT 2026 Special Session (in conjunction with MCSoC 2026)
河合直聡
平素よりお世話になっております。
東北大学 サイバーサイエンスセンターの河合です。
本MLをお借りして，MCSoC 2026 併設スペシャルセッション
Performance Optimization and Auto-Tuning of Software on
Multicore/Manycore Systems (POAT 2026) の論文投稿についてご案内申し上げます。
本セッションでは，マルチコア／メニーコアシステム上での性能最適化全般を広く対象としており，計算速度だけでなく，電力・エネルギー効率，資源利用率，計算品質（数値精度など）も含めた「性能」を議論の対象としています。また，システムの複雑化・多様化に対応するための自動チューニングや自動最適化技術，ならびにAIを活用した性能最適化手法についても広く募集しております。
論文投稿締切：2026年4月30日（AoE）
詳細につきましては，下記ウェブサイトをご参照ください。
https://atrg.jp/poat/2026/
ぜひ，MCSoCおよびPOATへの論文投稿をご検討いただけますと幸いです。
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CALL FOR PAPERS
Special Session:
Performance Optimization and Auto-Tuning of Software
on Multicore/Manycore Systems (POAT 2026)
In conjunction with the IEEE
International Symposium on
Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2026)
Dec. 14-17, 2026
Shanghai Jiao Tong University (Xuhui Campus), Shanghai,
China
Overview
Multicore and manycore processors (CPUs, GPUs, AI
accelerators, etc.) have become commonplace today and are widely
used in systems ranging from smartphones to supercomputers.
Their architectures and configurations are becoming increasingly
diverse and complex, incorporating heterogeneous components and
specialized accelerators. As a result, performance optimization
of programs on these state-of-the-art processors has become an
increasingly significant challenge.
This special session in MCSoC covers the general topic of performance optimization on multicore and manycore systems. “Performance” here includes not only computation speed, but also power and energy efficiency, resource utilization, and the quality of computation (e.g., numerical accuracy).
The session welcomes contributions on techniques for efficiently exploiting parallelism and architectural features of modern processors across a wide range of applications, including scientific computing, data-intensive workloads, and emerging AI/ML workloads such as large-scale model training and inference.
Furthermore, this session aims to discuss auto-tuning and automated optimization techniques as important approaches for dealing with the complexity and diversity of multicore and manycore systems.
POAT is an extended successor to the special session formerly known as Auto-Tuning for Multicore and GPU (ATMG) (2012-2022).
Topics of Interest
Topics of interest include, but are not limited to:
- Performance optimization of software on manycores: for computational speed, energy efficiency, accuracy, etc.
- Quantum computing using manycores (quantum circuits simulators, quantum inspired annealing, etc.)
- Mixed-precision computation and precision-tuning on manycores systems
- Thread-parallelization / SIMD-vectorization on manycores systems
- Auto-tuning and automatic code generation for manycores systems
- Application of AI-accelerator (or AI-oriented extensions on processors) to general-purpose computations
- Code porting and benchmarking between different manycore systems
- Tools / programming models / languages for performance on manycore systems
- Challenges for heterogeneity on manycore systems
- Manycores on FPGAs
- High-performance computing for AI4Science and data-driven scientific discovery
- Efficient training and inference of large-scale AI/LLM models on manycore architectures
- Performance optimization and parallelization of AI workloads on HPC systems
- Integration of AI methods with traditional HPC simulations
- Large-scale scientific data analysis using AI on manycore platforms
Submission
All contributions should be original, not published
elsewhere, or intended to be published during the review period.
Electronic Paper submission should not exceed 8 double-column
IEEE format pages, including figures and references. Papers
should be formatted as close as possible to the final format:
double-column, single-spaced, and Times or equivalent font of
minimum 10pt size. The acceptable format is PDF only.
Every submitted paper will be evaluated by at least three reviewers (single-blind peer review) in technical quality, originality, significance to the symposium, and organization. The 17th IEEE MCSoC 2026 proceedings will be published by the IEEE Computer Society and included in the Computer Society Digital Library CSDL and IEEE Xplore.
Important Dates (AoE)
- Full Paper Submission: April 30, 2026
- Acceptance Notification: July 20, 2026
- Camera-ready Paper: July 31, 2026
- Conference Date: December 14-17, 2026
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皆様からのご投稿とご参加を心よりお待ちしております。
どうぞよろしくお願いいたします。