Since 2006, the Space Computing Conference has gathered engineers, scientists, and computer architects with the objective of advancing the computational capability and reliability of spaceborne systems. The conference will emphasize current and emerging technologies in radiation-tolerant component technologies, processors, memory devices, space-qualifiable packaging technologies, highly-reliable & low-power electronics, avionics systems, etc. The conference aims to cover computing devices and systems for CubeSats up to “Flagship” missions.

Author Information

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Submit Abstract and Papers:
Start Paper Submission


Space Computing 2021 will consider two (2) types of submissions.


New full papers (up to 12 pages) with a virtual (slide) presentation

For papers intended to be published, Space Computing 2021 will use a full-paper review process. Authors of papers for publication need to submit a 1-page abstract after the author submission website opens August 24, 2020. All abstract submissions must be submitted by the October 15, 2020 deadline. The abstracts will allow the conference organizers to tentatively assign a track/session for the paper and ensure the author is in contact with the track/session chair for feedback prior to the final submission. Authors will be notified by November 1, 2020 if their abstract is accepted. The final version of their paper of up to 12 pages must be submitted by the February 15, 2021 deadline.

The conference proceedings will be submitted to the IEEE Xplore® and/or IEEE Computer Society Press digital library. Paper submissions are due February 15, 2021. Authors will be notified of their paper acceptance by May 15, 2021. Final manuscripts and presentations will be due June 15, 2021 and must incorporate the feedback from the paper reviewers.

Use the Start Paper Submission link on the Space Computing website to submit abstracts and manuscripts.


Authors of presentations which will not have a corresponding paper need to submit a 1-page abstract after the author submission website opens August 24, 2020. The abstracts will allow the conference organizers to determine if the proposed presentation is germane for the conference, determine which track/session the proposed presentation belongs and ensure the author is in contact with the track/session chair for feedback prior to the final submission. All presentation-only abstract submissions must be submitted by the October 15, 2020 deadline.

All accepted presentations will be distributed to the conference attendees, with the consent of the author and their organization, but will not be published in the IEEE Xplore database. Authors will be notified of their presentation acceptance by November 1, 2020. Final versions of the presentation will be due June 15, 2021.

Use the Start Paper Submission link on the Space Computing website to submit abstracts. Please include the keyword “Presentation” in the Submission Title.


Major tracks planned for this conference are:

Components, Radiation, and Packaging
Computing Architectures
Flight Data Processing
Avionics Systems
Machine Learning/Neural Computing

Components, Radiation, and Packaging

Focus on emerging component, module, and packaging technologies that will advance space computing capabilities. Radiation test methods for and results on complex components are included.

  • COTS components, including automotive grade, and module reliability
  • New packaging (e.g., 2.5D/3D) and PCB technologies, including emphasis on substrate and interconnect technologies
  • Emerging space memory (e.g. Crosspoint DDR4/5, STT-MRAM, VNAND Flash, etc.)
  • Wide bandgap (e.g., GaN and SiC) computing devices and modules
  • Advances in computing devices (e.g. GPU, DSP, FPGA/SoC, processors)
  • Part-specific challenges and solutions
  • Component and module radiation effects testing and analysis
  • Component security and trust, challenges and solutions

Computing Architectures

Wide range of space computing topics including reconfigurable computing systems, high performance space computing, fault tolerant design, system on a chip and embedded memories, GPU-based computing, and effective use of many-core processor platforms.

  • Reconfigurable systems
  • Space processors, multi-core, SoC, GPU-based
  • Hybrid data processing systems
  • Fault-tolerant architectures
  • System modeling and design tools
  • Power management, SWaP vs computing capability
  • Flight application experience
  • Small/Nano Sat computing

Flight Data Processing

Advances in flight data processing techniques including high-speed data processing, real-time data processing, and fault tolerance. Complex data processing applications that require software and FPGA co-processing solutions.

  • Fault tolerant space computing techniques
  • Autonomous operations
  • Embedded software and real-time systems
  • FPGA design innovative solutions
  • Software/FPGA co-processing applications
  • “Killer Apps”, memory/data intensive applications

Avionics Systems

Focus on current and future avionics systems and architectures. New concepts for implementing reliable space networks and interoperability.

  • Future spacecraft avionics concepts (commercial and government)
  • Interconnect and networking, e.g. SerDes, wireless, SpaceVPX, etc.
  • Networking of multiple spacecraft
  • Distributed computing, multi-node systems
  • Interoperability
  • Security in space systems
  • Cross-agency standards
  • Flight application experience
  • System-level Fault Tolerance

Machine Learning/Neural Computing

Machine learning/Neural computing techniques are increasingly providing state-of-the-art solutions in signal processing and are increasingly being explored for remote sensing, decision making, and anomaly detection tasks. Space computing faces many unique challenges such as operating in a radiation environment, employing a variety of sensors, and facing low size, weight, and power (SWaP) costs. This track encourages contributions on machine learning and neural-inspired approaches for enabling computing in space including deep learning and machine learning algorithms, neuromorphic hardware and other edge devices, neural-inspired sensors, and analysis ready datasets.

  • Algorithmic advances in deep learning & machine learning for space processing
  • Neuromorphic hardware
  • Edge devices
  • Neural-inspired sensors
  • Analysis ready datasets
  • Benchmarks
  • Robustness measures for emerging machine learning & deep learning approaches
  • Machine learning for cyber security in space applications
  • Advanced spacecraft planning and scheduling

Although any relevant topic will be considered for submitted papers, the topics listed above are especially being sought. In addition, papers that span two or more topic areas (e.g., novel approaches that draw upon cross-cutting technologies) are also strongly encouraged. For more information please refer to the conference website:

Manuscripts (up to 12 pages) for full papers must be received by February 15, 2021. Acceptance notification will be emailed by May 15, 2021.


August 21, 2020 Call for Full Papers and Participation
August 24, 2020 Author Submission Website Open
October 15, 2020 Abstracts Due
November 1, 2020 Abstract Acceptance Notification
February 15, 2021 Paper submission due date
May 15, 2021 Authors Acceptance Notification
June 15, 2021 Final Papers and Presentations Due (incorporating reviewer comments)
August 23-27, 2021 Conference

We look forward to seeing you virtually in 2021!