Third International Symposium on Checkpointing for Supercomputing (SuperCheck-SC22)

∗ November 14, 2022 ∗

Held in conjunction with SC22 and in cooperation with IEEE Computer Society

Third International Symposium on Checkpointing for Supercomputing (SuperCheck-SC22)

The Third International Symposium on Checkpointing for Supercomputing (SuperCheck-SC22) will be held on Monday, November 14, 2022 at Dallas, USA, in conjunction with SC22: The International Conference for High Performance Computing, Networking, Storage and Analysis. This workshop will feature the latest work in checkpoint/restart research, tools development and production use.

Important Dates

  • Paper Submission Deadline: August 26, 2022 AOE September 5, 2022 AOE

  • Author Notification: September 9, 2022 AOE September 20, 2022 AOE

  • Workshop Ready Deadline: September 30, 2022 AOE

  • Workshop @SC22: November 14, 2022 (8:30am - 12:00pm)

  • Camera Ready Deadline: October 14, 2022 (11:59pm PT)

About the Workshop

As a primary approach to fault-tolerant computing, Checkpoint/Restart (C/R) is essential to a wide range of HPC communities. While there has been much C/R research and tools development, continued C/R research is indispensable to keep pace with ever-changing HPC architectures, technologies, and workloads. More effort is also needed to narrow the gap between proof-of-concept C/R research codes and production-quality codes capable of deployment in real-world workloads. In this workshop, we will bring together C/R researchers and tools developers, practitioners, application developers, and end users to focus on C/R research and successes in production use, motivating the development of usable C/R tools, the closing of the gap between state-of-the-art research and production, and the harnessing of the full benefits of C/R for the HPC community. Paper submissions will be peer-reviewed, and the accepted papers will be published with the IEEE Computer Society. We especially encourage PhD students and HPC end users to participate.

Workshop Scope

Checkpointing is widely used in high performance computing (HPC). It involves capturing key states during the runtime of a distributed application (checkpointing), which are reused later during runtime. Initially widely applied in the HPC community for resilience purposes (checkpoint periodically, roll back and restart the application from a previously known correct state in case of failures), it has seen increasing adoption in many other scenarios: suspend-resume (checkpoint as a response to an event, such as a reservation running out of time or a job being preempted to make room for another job, then resume at a later time when more resources are available), migration (checkpoint on one machine, restart on another, potentially on different hardware), debugging (checkpoint close to a problematic region of code and replay that region multiple times instead of starting from the beginning). More recently, with an increasing convergence of HPC, big data analytics and machine learning, checkpointing is becoming an essential pattern in allowing applications to progress with their computations. For example, it is used to communicate states between tasks in a workflow, to revisit previous states (e.g. adjoint computations), or to explore alternative directions starting from a common ancestor (e.g. checkpoint models and/or training data to explore variations of architecture and/or training paths).

On the other hand, checkpointing is challenging: states are distributed, which means the checkpoints require coordination to capture globally consistent states, they incur high I/O overheads due to their size and competition for I/O bandwidth, they can be either explicitly defined by users or transparently determined at system-level, etc. With increasing scale and heterogeneity of supercomputing architectures, both from a computational and I/O perspective, such challenges are becoming even more difficult to overcome.

As a consequence, there is a need to form a community around this essential yet difficult to address topic that is currently underserved in the HPC community. This workshop proposal aims to fill the aforementioned gap. It encourages interaction and cross-pollination between application developers that have both traditional and novel use cases for checkpointing, researchers that develop checkpointing approaches and runtimes/middlewares at all levels (system-level, application-level, transparent, hybrid), storage and I/O experts that need to manage massive data sizes generated by checkpointing, architecture experts that need to provide means of capturing the state of devices and other subsystems (which are needed in addition to user-level in-memory data structures). In this context, it envisions to become a forum where participants can (1) underline challenges, opportunities and solutions for novel research directions; (2) share their experience and best practices for production-runs; (3) engage in co-design activities (users learn about approaches and new capabilities of runtimes and middlewares, runtime developers learn about the needs of users).

The workshop scope includes but is not limited to:

  • Application-level checkpointing: APIs to define critical states, techniques to capture critical states (e.g. efficient serialization)

  • Transparent/system-level checkpointing: techniques to capture state of devices and accelerators (CPUs, GPUs, network interfaces, etc)

  • I/O and storage solutions that leverage heterogeneous storage to persist checkpoints at scale

  • Checkpoint size reduction techniques (compression, deduplication)

  • Alternative techniques that avoid persisting checkpoints to storage (e.g. erasure coding)

  • Synchronous vs. asynchronous checkpointing strategies

  • Multi-level and hybrid strategies combining application-level, system-level, transparent checkpointing on heterogeneous hardware

  • Application-specific techniques combined with checkpointing (e.g. ABFT)

  • Performance evaluation and reproducibility, study of real failures and their recovery

  • Research on optimal checkpointing interval, C/R-aware job scheduling and resource management

Furthermore, contributions on C/R use in production are also welcome:

  • Experience with traditional use cases of checkpointing on novel platforms

  • New use cases of checkpointing beyond resilience

  • Support on HPC systems (e.g., resource scheduling, system utilization, batch system integration, best practice, etc.)

We propose two tracks of paper submissions within the workshop, research and production. For the production track, we broaden the definition of novelty for our workshop, to include the work of incorporating novel research results into practice, resulting in a real-life impact.


We encourage participation from researchers and end-users, professionals and students.

Organizing Committee

  • Zhengji Zhao, National Energy Research Scientific Computing Center(NERSC) at Lawrence Berkeley National Laboratory (LBNL)