HCDS @ ASPLOS 2026
January 23, 2026
co-located with ASPLOS 2026
March 22, 2026, Pittsburgh, USA
https://hcds-workshop.github.io/edition/2026/
Heterogeneous and Composable Disaggregated Systems (HCDS), provide a system design approach for reducing the imbalance between workloads resource requirements and the static availability of resources in a computing system, while making room for novel distributed system approaches in processes communication and data exchange. The HCDS workshop aims at exploring the novel research ideas around composable disaggregated systems and their integration with operating systems and software runtimes to maximize the benefit perceived from user workloads.
Topics of Interest
Hardware and Prototyping
- Novel composable systems architectures (e.g., CXL based)
- Composable system prototypes and proof-of-concept
- Interconnect technologies (such as CXL)
- Memory pooling, and memory disaggregation
Modeling and Evaluation
- Heterogeneous Composable Systems simulation
- Characterization of heterogeneous composable systems from the perspective of performance, energy consumption and reliability
- New algorithms and performance models to manage and use HCDS
- Memory pooling, and memory disaggregation
System software and programming models/tools
- Operating system designs to support HCDS, such as memory profiling methods, memory management (e,g, page migration and allocation)
- Control plane software and runtime systems for management of composable systems
- Programming models for heterogeneous composable memory
- Analysis / profiling tools and techniques for composable systems
- Virtualization for composable heterogeneous systems
Applications and Use cases
- Use cases for heterogeneous composable systems, such as (but not limited to) deep-learning and large language model (llm) inference/serving/training/fine-tuning, agentic AI systems, data-intensive analytics, data input pipelines/streaming and scientific and HPC applications
- AI system decomposition (e.g., distributed inference in Dynamo) for system disaggregation
- CXL memory sharing and pooling for AI
- Co-design of AI model and system disaggregation
Submission Deadline: January 23, 2026 (AoE)
To submit your work, please visit https://hcds26.hotcrp.com/
Organizers
Christian Pinto (IBM Research Europe, Ireland),
Dong Li (UC Merced, CA, USA),
Thaleia Dimitra Doudali (IMDEA Software Institute, Spain),
Christina Giannoula (Max Planck Institute for Software Systems),
Jie Ren (William & Mary, VA, USA),
Dimosthenis Masouros (National Technical University of Athens, Greece)