15th International conference on Parallel, Distributed Computing and Applications (IPDCA 2026)
July 25 ~ 26, 2026, Toronto, Canada
Call for Papers
15th International conference on Parallel, Distributed Computing and Applications (IPDCA 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Parallel, Distributed Computing. Original papers are invited on Algorithms and Applications, computer Networks, Cyber trust and security, Wireless networks and mobile Computing and Bioinformatics. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science, Engineering and Applications.
Topics of interest include, but are not limited to, the following
Parallel & High Performance Computing (HPC)
- Parallel Algorithms, Models & Complexity
- Exascale & Extreme Scale Computing
- High Performance Architectures (GPU, TPU, FPGA, ASIC)
- Memory Centric HPC Architectures
- Parallel Programming Models, Languages & Compilers
- Runtime Systems, Scheduling & Resource Management
- Performance Modeling, Benchmarking & Optimization
- Energy Efficient, Green & Carbon Aware HPC
- HPC for AI & AI Accelerated Scientific Computing
- Hybrid HPC Cloud Architectures & Workflows
Distributed Systems & Cloud Computing
- Distributed Algorithms, Consensus & Fault Tolerance
- Cloud Computing (IaaS, PaaS, SaaS) & Multi Tenant Isolation
- Cloud Native Systems (Kubernetes, Microservices, Serverless)
- Stateful Serverless & Event Driven Distributed Systems
- Edge, Fog & Geo Distributed Computing
- Planet Scale Distributed Systems (Spanner like architectures)
- Data Center Systems & Software Defined Infrastructure
- Observability, Telemetry & Distributed Tracing
- Cost Aware Scheduling & Cloud Resource Economics
- Disaggregated Compute, Memory & Storage (CXL, NVMe oF)
- Rack Scale & Composable Infrastructure
AI Native Systems & Machine Learning Infrastructure
- Distributed Machine Learning & Federated Learning
- Parallel Training of Large Models (LLMs, Foundation Models)
- AI Native Operating Systems & Model Centric Runtimes
- Distributed Inference Serving (batching, KV cache management, MoE routing)
- Systems for AI/ML (tensor parallelism, pipeline parallelism, ZeRO, sharding)
- ML Optimized Hardware & Accelerators
- AI Driven Resource Management & Cluster Scheduling
- Privacy Preserving ML at Scale
- Real Time AI Pipelines & Streaming Inference
Networking, Communication & Interconnects
- High Speed Interconnects (InfiniBand, RDMA, NVLink, CXL)
- Network Protocols for HPC & Distributed Systems
- Software Defined Networking (SDN) & Network Virtualization
- 5G/6G, Network Slicing & Compute Offloading
- Wireless, Ad Hoc & Sensor Network Architectures
- Network Performance, QoS & Traffic Engineering
- In Network Computing & SmartNIC Accelerated Systems
Distributed Applications, Platforms & Middleware
- Distributed AI/Analytics Platforms (Spark, Ray, Flink, Dask)
- Workflow Systems, Orchestration & Automation
- Distributed Simulation, Modeling & Digital Twins
- Collaborative, Real Time & Interactive Distributed Applications
- Web Scale & Internet Scale Services
- Data Intensive Systems & Planet Scale Streaming
Security, Trust & Confidential Computing
- Security in HPC, Cloud, Edge & Distributed Architectures
- Confidential Computing (TEE based, enclave based, confidential GPUs)
- Secure AI Training & Inference
- Privacy Preserving Distributed Computation
- Trust Management, Identity & Access Control
- Resilience, Fault Tolerance & Self Healing Systems
- Secure Distributed Storage & Blockchain Based Systems
- Zero Trust Architectures for Distributed Systems
Emerging Computing Paradigms
- Quantum Computing & Hybrid Quantum Classical Systems
- Quantum Inspired Algorithms for HPC
- Neuromorphic & Bio Inspired Computing
- Heterogeneous & Hybrid Computing Architectures
- Approximate, Probabilistic & Stochastic Computing
- Sustainable Computing & Carbon Aware Scheduling
- Autonomous Cluster Operations & Self Managing Systems
Software Systems, Tools & Engineering
- Parallel/Distributed Software Engineering & DevOps
- Programming Frameworks, Libraries & Toolchains
- Debugging, Verification & Testing of Distributed Systems
- Software Performance Engineering
- Middleware, APIs & Distributed System Abstractions
- Reproducibility, Benchmarking & Artifact Evaluation
Applications of Parallel & Distributed Computing
- Computational Biology & Health Informatics at Scale
- Scientific Computing & Numerical Methods
- Big Data Analytics & Large Scale Data Processing
- Smart Cities, IoT & Cyber Physical Systems
- Climate Modeling, Physics, Engineering & Environmental Simulations
- Autonomous Systems, Robotics & Real Time Distributed Control
- Digital Twins for Science, Industry & Infrastructure
Paper Submission
Authors are invited to submit papers through the conference Submission System by May 02, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from IPDCA 2026, after further revisions, will be published in the special issue of the following journal.
Important Dates
· Submission Deadline : May 02, 2026
· Authors Notification: May 23, 2026
· Registration & camera - Ready Paper Due: May 30, 2026
Contact Us
Here's where you can reach us : ipdca@dami2026.org
