IEEE ICCS 2026 Call for Special Sessions. You may either establish your own session topics or select one from the following options. Please contact Ms. Robin Luo: iccs_conf@163.com
Invited sessions consist of 4 to 6 thematically related invited papers. Invited session proposals consist of a brief statement of purpose and extended abstracts of the included invited papers. Invited papers are submitted and reviewed following the same process as contributed papers, and are included in the conference proceeding.
Special-session proposals should be submitted by the prospective organizer(s) who will commit to promoting and handling the review process of their special session as Chairs or Co-Chairs of the event.
Proposals should include the following information:
● Title;
● Name(s) of organizer(s);
● Email of main contact person;
● Brief bio(s) of organizer(s);
● Brief description;
● Related topics;
● Potential participants;
1. Domain-Specific Architectures for AI and Machine Learning
2. Quantum Computing Systems: Architecture, Software, and Simulation
3. Edge Computing Systems: From Devices to Infrastructure
4. Memory-Centric Computing Architectures
5. Reliable and Fault-Tolerant Systems in the Post-Moore Era
6. Programming Systems and Compilers for Emerging Hardware
7. Sustainable and Green Computing Systems
8. Security and Trust in Hardware Systems
9. High-Performance Computing (HPC) Systems for Exascale and Beyond
10. Systems for the Industrial Metaverse and Digital Twins
1. Domain-Specific Architectures for AI and Machine Learning
The insatiable demand for AI and machine learning performance has driven a paradigm shift from general-purpose processors to domain-specific architectures (DSAs). This special session explores the latest innovations in hardware designed specifically for AI workloads, from specialized tensor cores and NPUs to in-memory computing and analog AI accelerators. We invite submissions on architectural innovations, programming models, and evaluation methodologies for DSAs that push the boundaries of performance, energy efficiency, and scalability for training and inference across edge and cloud platforms.
2. Quantum Computing Systems: Architecture, Software, and Simulation
As quantum hardware advances, the development of full-stack quantum computing systems becomes critical for realizing practical quantum advantage. This session focuses on the architectural challenges of building scalable quantum systems, including control electronics, error correction, and the quantum-classical interface. We invite papers on quantum compiler design, resource estimation, and high-performance simulation techniques that enable algorithm development and system validation. The goal is to foster discussion on the co-design of quantum hardware and software to build robust, programmable, and fault-tolerant quantum computers.
3. Edge Computing Systems: From Devices to Infrastructure
The proliferation of IoT devices and the need for low-latency, privacy-preserving processing have propelled edge computing to the forefront of systems research. This session explores the full spectrum of edge computing systems, from resource-constrained microcontrollers to powerful edge nodes and the distributed infrastructure that connects them. We invite submissions on lightweight virtualization, serverless computing at the edge, data management, and security frameworks designed for this highly distributed and heterogeneous environment. We also seek work on novel applications and orchestration strategies that leverage the unique characteristics of the compute continuum.
4. Memory-Centric Computing Architectures
The growing performance gap between processors and memory, known as the "memory wall," has motivated a fundamental rethinking of computer architecture. This session focuses on memory-centric computing paradigms that bring computation closer to data to reduce data movement and improve efficiency. We invite papers on processing-in-memory (PIM), near-data processing, and novel memory hierarchies that integrate computation within memory technologies like DRAM, NVM, and SRAM. Topics of interest include architecture design, programming models, and applications that can benefit from this transformative approach to system design.
5. Reliable and Fault-Tolerant Systems in the Post-Moore Era
As technology scaling reaches physical limits, hardware reliability is becoming a growing concern, with increased susceptibility to faults, variation, and aging. This session addresses the critical challenge of designing reliable and fault-tolerant computing systems in the post-Moore era. We invite contributions on techniques for detecting, masking, and recovering from hardware faults across the system stack—from circuits and architectures to runtime systems and applications. Topics include resilience for emerging technologies, approximate computing for fault tolerance, and cross-layer approaches that optimize for both performance and dependability.
6. Programming Systems and Compilers for Emerging Hardware
The rapid proliferation of heterogeneous hardware—from GPUs and FPGAs to domain-specific accelerators—has created a pressing need for innovative programming systems and compilers. This session focuses on languages, tools, and compiler techniques that simplify programming, improve portability, and maximize performance across diverse and often exotic architectures. We invite submissions on high-level abstractions, domain-specific languages (DSLs), automatic parallelization, and compiler optimizations for emerging hardware. The goal is to bridge the gap between hardware innovation and productive software development.
7. Sustainable and Green Computing Systems
The exponential growth in data and computation has made the energy consumption of computing systems a critical environmental and economic concern. This session is dedicated to research on sustainable and green computing across the entire system hierarchy. We invite papers on energy-efficient architectures, power-aware software, and techniques for reducing the carbon footprint of data centers and edge infrastructure. Topics of interest include hardware-software co-design for energy proportionality, renewable energy integration, and lifecycle assessment of computing equipment, aiming to build a more sustainable digital future.
8. Security and Trust in Hardware Systems
Hardware forms the foundation of all computing, and vulnerabilities at this level can undermine the security of the entire system stack. This session focuses on the design, analysis, and verification of secure and trustworthy hardware systems. We invite submissions on topics ranging from side-channel attacks and countermeasures to hardware Trojans, physical unclonable functions (PUFs), and secure processor architectures. We also seek papers on formal methods for hardware verification and techniques for establishing trust in the globalized semiconductor supply chain.
9. High-Performance Computing (HPC) Systems for Exascale and Beyond
The achievement of exascale computing marks a historic milestone, but it also opens new challenges and opportunities for the next generation of HPC systems. This session explores the architectures, system software, and programming environments required to effectively utilize exascale platforms and to chart the path toward zettascale. We invite papers on novel interconnect technologies, massive parallelism management, resilience at scale, and I/O subsystems capable of handling unprecedented data volumes. We also seek contributions on the convergence of HPC, AI, and big data analytics for scientific discovery.
10. Systems for the Industrial Metaverse and Digital Twins
The industrial metaverse, powered by digital twins, is transforming manufacturing, engineering, and infrastructure management by creating persistent, real-time virtual replicas of physical systems. This session focuses on the foundational computer systems required to realize this vision. We invite submissions on distributed systems for synchronizing massive state between physical and virtual worlds, real-time simulation engines, and edge-cloud infrastructure for low-latency control and analytics. We also explore security, privacy, and interoperability challenges in building robust, scalable digital twin systems for industry.
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