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ECHO 2026 : ECHO: The 1st International Workshop on Edge-Cloud-HPC Operational Continuum at SC '26

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Link: https://echo-workshop.github.io/#home
 
When Nov 20, 2026 - Nov 20, 2026
Where Chicago, IL, USA
Submission Deadline Aug 15, 2026
Notification Due Sep 4, 2026
Final Version Due Sep 25, 2026
Categories    HPC   edge   AI   IOT
 

Call For Papers

# Important Dates

Paper submission deadline: August 15, 2026 (AoE)
Author notification: September 4, 2026
Camera-ready deadline, with AD/AE: September 25, 2026 (AoE)

# About the Workshop

The ECHO workshop brings together researchers and practitioners across edge systems, cloud platforms, and high-performance computing (HPC) to formulate and advance a shared research agenda. In this workshop, we explore how HPC, edge, and cloud ecosystems can mutually advance physically dispersed, field-to-cloud, geo-distributed computing pipelines, especially where mission-critical field operations demand robust edge capabilities—and identify how system architectures must adapt to thrive across this continuum.

System design for modern workloads is end-to-end, e.g., driven by the sheer volume and rate of distributed data that can exceed the capability of on-scene devices. At the same time, high-fidelity data is continuously generated and acquired at the edge by bandwidth-hungry sources, such as scientific instruments, smart manufacturing arrays, and autonomous vehicle fleets. To satisfy strict real-time latency budgets and overcome intermittent network constraints, this raw data must be filtered, compressed, and partially processed near the sensors—often through in-situ feature extraction or low-latency AI inference. Only the highest-value signals and distilled datasets are then transmitted to the cloud, where they are aggregated to fuel resource-intensive tasks like massive-scale deep learning, digital twin simulations, and continuous model refinement.

Stewardship throughout the entire data lifecycle—encompassing data governance, data quality assurance, and policy-driven oversight—has shifted beyond a narrow focus on centralized task processing. Today, it demands sophisticated workflow orchestration and data management across a computing continuum that spans sensors, edge devices, and cloud platforms. At the same time, these use cases are highly performance-critical. They increasingly require capabilities long associated with HPC: efficient parallel execution, high-throughput data movement, high-performance I/O, accelerator utilization, topology-aware communication, and rigorous performance engineering.

# Workshop Format

ECHO will be held as a half-day workshop on the morning of Nov. 20, 2026 (Friday), in conjunction with SC '26 in Chicago, IL. The program combines featured talks that set context, peer-reviewed paper and lightning sessions, a multi-stakeholder panel spanning academia, industry, and national labs, and interactive breakouts for structured ideation and report-backs.

The mix is intentional: guided breakouts drive problem formulation, lightning talks and feedback-oriented Q&A socialize early-stage and work-in-progress results, and mixed panels and breakout groups build bridges across the HPC, edge, distributed-systems, networking, and AI-infrastructure communities.

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