HETEROPAR

24th Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms

Workshop website: https://eventi.unibo.it/heteropar2026

Heterogeneity is a key characteristic of modern parallel and distributed systems, spanning HPC, AI supercomputers, cloud, and edge environments. Exploiting these architectures efficiently requires advances across the full stack, including algorithms, programming models, runtimes, and performance and energy modeling.

HeteroPar 2026 provides a forum for research on methods and tools for heterogeneous computing. Topics include programming models and languages, performance and energy optimization, parallel algorithms and scheduling for accelerators, applications in HPC, data analytics and AI, as well as system-level aspects such as integration, portability, resilience, and emerging approaches based on AI-assisted programming and autotuning.

PECS

6th Workshop on Performance and Energy Efficiency in Concurrent and Distributed Systems

Workshop website: https://pecs-workshop.github.io/2026/

PECS aims to provide a venue for both academia and industry to discuss challenges and perspectives, and to explore methods, techniques, and tools for energy efficiency and performance optimization in concurrent and distributed systems.

BIGHPC

Big Data and High-Performance Computing

Workshop website: bighpc2026.di.unipi.it

BigHPC 2026 targets the convergence of High-Performance Computing, Big Data, AI/ML systems, and heterogeneous infrastructures (Cloud–Edge continuums), while also welcoming quantum computing paradigms when relevant to data-intensive and HPC workloads. The workshop aims to: Advance methods, architectures, and runtimes for data-intensive computing on HPC and heterogeneous platforms (CPU/GPU/accelerators). Address the “data gravity” problem: data movement, storage hierarchies, I/O efficiency, locality, and end-to-end performance engineering. Foster cross-fertilization between HPC, AI systems, cloud/edge infrastructures, and quantum approaches, with an emphasis on practical system implications and measurable outcomes. Provide a forum for discussing emerging combinations (e.g., HPC + AI pipelines, cloud bursting for HPC, edge-to-HPC workflows, hybrid classical–quantum workflows) under the constraints of scale, reproducibility, and efficiency.

GRAPHSYS

4th Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems

Workshop website: https://graphsys.org/

Graph data interoperability and analysis are increasingly central to digital economies and scientific discovery, yet current computational approaches struggle with the scale and complexity of modern datasets and workflows. Traditional performance optimization techniques, based on correlation, fail to capture the underlying causal mechanisms, limiting their ability to guide system design. GraphSys 2026 promotes a shift toward causal and temporal graph representations, enabling deeper insights into system behavior by modeling relationships between hardware phenomena and software execution.

By treating system telemetry as temporal and causal structures, this approach supports applications ranging from hardware co-design to runtime optimization, while addressing challenges such as energy efficiency and system scalability. As graph data and applications continue to grow in size and complexity, GraphSys 2026 fosters a cross-disciplinary dialogue integrating parallel computing, architecture, and causal AI, providing a venue to advance state-of-the-art methods from low-level hardware understanding to high-level algorithmic reasoning.

EUROQHPC

2nd International European Workshop on Quantum Computing for High-Performance Computing

Workshop website: https://www.euroqhpc.eu/home

Quantum computing is emerging as a disruptive paradigm for High-Performance Computing, with growing interest in integrating quantum and classical systems to support hybrid applications. In the mid-term, Quantum Processing Units (QPUs) are expected to be incorporated into HPC infrastructures as accelerators, similar to GPUs and FPGAs. While initial approaches explore extensions of classical programming models and tools, such as OpenMP, OpenCL, and CUDA Quantum, significant challenges remain in achieving efficient and seamless integration.

Recent advances include early experiments in parallel quantum computing and proposals for modular architectures from both academia and industry. This workshop aims to provide a forum for discussing system-level integration, software interfaces, applications, and emerging methodologies in hybrid quantum-classical computing, as well as advances in quantum algorithms, optimization, and supporting hardware and simulation technologies.

Q-WORKS

Quantum-HPC Workflows, Resource Allocation, and Scheduling

Workshop website: https://q-works.github.io/

As quantum computers are increasingly integrated into HPC facilities, new challenges emerge across the full system stack, including the integration of heterogeneous software environments, efficient resource allocation and scheduling, and the identification of suitable near-term applications that justify on-premise deployment over cloud-based access.

Q-WORKS aims to bring together experts from HPC and quantum computing to discuss recent advances in integrating quantum systems within HPC infrastructures. The workshop fosters collaboration among diverse communities, including quantum and systems software researchers, infrastructure providers, large-scale project participants, and hardware vendors, promoting the exchange of experiences and approaches for programming and managing hybrid HPC–quantum environments.

VHPC

21st Workshop on Virtualization in High-Performance Cloud Computing

Workshop website: https://vhpc.org/

VHPC 2026 focuses on virtualization, containers, and resource isolation as key technologies for modern AI and HPC infrastructures. As large language models, memory-intensive training, distributed inference, multimodal pipelines, and agentic AI systems continue to grow in scale and complexity, these technologies are becoming essential for controlled and efficient execution across heterogeneous resources, including CPUs, GPUs, NPUs, high-performance interconnects, and emerging accelerators.

The workshop aims to bring together researchers and practitioners from academia and industry to discuss challenges and advances in virtualized AI and HPC systems. Topics of interest include deterministic execution, resource isolation, state snapshotting, replay mechanisms, execution tracing, and other techniques that support reproducibility, debugging, and infrastructure management in highly dynamic cloud and HPC environments.

FRAME

6th Workshop on Flexible Resource and Application Management on the Edge

Workshop website: https://www.accordion-project.eu/frame2026/

The cloud computing paradigm has evolved from centralized infrastructures to a broader continuum that integrates cloud, edge, fog, and IoT resources to support geographically distributed and latency-sensitive applications. In this Cloud-Edge Continuum, heterogeneous resources collaborate to meet dynamic user requirements, enabling localized services but introducing new challenges in security, orchestration, and resource management.

Realizing the full potential of the continuum requires advanced techno-economic models to balance cost, performance, and value across diverse domains. Proximity to users enables real-time and data-driven applications while raising concerns related to privacy, security, and robustness, including the need for secure federated learning. The increasing convergence with HPC, AI-driven applications, satellite infrastructures, and emerging quantum technologies further expands the scope and complexity of these systems.

FRAME 2026 aims to bring together researchers and practitioners from academia and industry to address these challenges, focusing on novel methods, systems, and approaches for flexible resource and application management in cloud-edge infrastructures, in the context of Euro-Par 2026 in Pisa, Italy.

WSCC

4th Workshop on Scalable Compute Continuum

Workshop website: https://wscc.di.unipi.it/

The Compute Continuum paradigm enables seamless integration of resources across edge, fog, and cloud infrastructures, extending to emerging domains such as satellite systems. Overcoming fragmentation allows applications to move dynamically across heterogeneous resources, improving performance, data locality, energy efficiency, and other non-functional properties while supporting latency-sensitive and privacy-aware applications in domains such as smart cities, healthcare, and mobility.

At the same time, the heterogeneity and dynamism of continuum environments challenge traditional deployment models. Lightweight execution technologies, such as unikernels, microVMs, and WebAssembly, offer new opportunities for efficient and fine-grained resource management, but introduce additional complexity in orchestration and scheduling. Addressing these challenges requires autonomous, adaptive, and infrastructure-aware management approaches that combine optimization, control theory, and AI techniques.

HIPES

3rd Workshop on High-Performance eScience Tools and Applications

Workshop website: https://www.hipes-workshop.org/

The HiPES 2026 workshop will be held in conjunction with Euro-Par 2026 in Pisa, Italy. Accepted papers will be published, in revised form, in a dedicated Euro-Par Workshop volume in the Springer LNCS series after the conference.

HiPES provides a forum for researchers to present advances in high-performance eScience tools, algorithms, and applications, fostering collaboration across computer science, computational science, and domain disciplines. It focuses on integrating parallel and distributed computing into eScience workflows, addressing challenges in scalability, performance, and deployment in real-world environments. With the growing impact of AI and the need for production-grade pipelines, the workshop highlights adaptable workflow systems that operate across heterogeneous platforms, including HPC, cloud, and edge infrastructures, while considering performance, energy efficiency, and emerging paradigms such as quantum computing.

RISE

2nd Workshop on Robotic Systems in the Edge-Cloud Continuum

Workshop website: https://rise-workshop.github.io/

Advances in robotics, together with edge and cloud computing, are enabling increasingly sophisticated robotic systems that rely on distributed infrastructures. The edge–cloud continuum provides a framework for supporting these systems, enabling workloads and data to be dynamically distributed across devices, edge layers, and centralized cloud resources.

RISE focuses on the design, implementation, and optimization of robotic systems across this continuum, addressing challenges in data management, computation placement, and system coordination. The workshop aims to foster collaboration between robotics and parallel and distributed systems communities, with an emphasis on architectures, algorithms, and systems supporting real-time perception, decision-making, and coordination.