Welcome to IPDCA 2026

15th International Conference on Parallel, Distributed Computing and Applications (IPDCA 2026)

July 25 ~ 26, 2026, Toronto, Canada

Hybrid--Registered authors can present their work online or face to face New

Program Committee

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Accepted Papers

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Toronto, Canada

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Scope  Call for Participation

The 15th International Conference on Parallel, Distributed Computing and Applications (IPDCA 2026) serves as a premier global forum for researchers, practitioners, and industry experts to exchange knowledge, innovations, and advances in the rapidly evolving fields of parallel and distributed computing. As modern computing systems scale to unprecedented levels, driven by cloud native architectures, AI centric workloads, exascale platforms, and edge intelligence, IPDCA 2026 aims to bring together cutting edge research that shapes the future of high performance and distributed systems.

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Call for Papers


The conference welcomes original contributions covering the full spectrum of theory, design, implementation, and applications of parallel and distributed computing. Topics of interest span parallel algorithms and architectures, distributed systems, cloud and edge computing, AI native systems, high performance computing, networking, security, and emerging computing paradigms. IPDCA 2026 provides a unique platform for academic researchers and industry professionals to share breakthroughs, discuss challenges, and explore new directions in scalable computing technologies.


Authors are invited to submit high quality articles presenting research results, innovative projects, survey studies, and industrial experiences that demonstrate significant advances in computer science, engineering, and real world applications of parallel and distributed systems.

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 Closed. 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).

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Sponsors