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Outer Space Edge Computing: HPE Reports Completion of 24 Experiments on International Space Station

The Spaceborne Computer-2 High Performance Commercial  aboard the International Space Station. (credit: HPE)

HOUSTON – April 4, 2022 – Hewlett Packard Enterprise (NYSE: HPE) today announced that the HPE Spaceborne Computer-2 (SBC-2), the in-space commercial edge computing and AI-enabled system to run on the International Space Station (ISS), has completed 24 research experiments.

HPE said the experiments involved real-time data processing and testing of new applications to prove reliability in space as part of an effort to increase autonomy for astronauts. These experiments were in healthcare, image processing, natural disaster recovery, 3D printing, 5G, and AI.

“By introducing edge computing and AI capabilities to the International Space Station with Spaceborne Computer-2, we have helped foster a growing, collaborative research community that shares a common goal to make scientific and engineering breakthroughs that benefit humankind, in space and here on earth,” said Dr. Mark Fernandez, principal investigator, Spaceborne Computer-2, at HPE. “We are proud of this ongoing work, which has already resulted in 24 completed experiments from various organizations demonstrating new possibilities for space exploration and milestones for humanity.”

HPE launched Spaceborne Computer-2 in collaboration with the ISS National Laboratory to space in February 2021 and was installed on the ISS in May 2021. The solution is comprised of the HPE Edgeline Converged EL4000 Edge system, a designed to perform in harsher and confined edge environments, and the HPE ProLiant DL360 server for additional high-performing capabilities for a range of edge, HPC and AI workloads.

SBC-2 is part of a mission to advance computing and reduce dependence on communications as humans travel to the moon, Mars and beyond. HPE said the solution demonstrates potential ways astronauts can increase self-sufficiency when processing data directly on the space station in real-time, bypassing longer latency and wait times that occur when relying on sending raw data to earth to be processed, analyzed, and sent back to space.

The edge computing capabilities delivered through SBC-2 also have the potential to enable astronauts and space explorers to send data to earth, whether to be further analyzed or used in another way, at a radically compressed size and faster speed, according to HPE. Previously, 1.8 GB of raw DNA sequence data took an average time of 12.2 hours just to download to earth for initial processing. With SBC-2, researchers onboard the space station can process that same data in six minutes, compress it to 92 KB and send it to earth in two seconds, representing a 20,000X speed-up.

Since its installment, Computer-2 has run dozens of experiments for researchers at Axiom, Cornell University, Comucore, Microsoft, NASA and
Titan Space Technologies. They include:

• Experiment focused on increasing human safety and self-sufficiency by using AI-enabled damage detection in astronaut gloves – Astronauts on the ISS are often on spacewalks during which they repair equipment, install new instruments and upgrade features and functions on the space station. They wear gloves that can experience erosion, along with rips and cuts, presenting potential safety concerns. In an experiment led by NASA, HPE and Microsoft, photos and recorded video taken in space of recently worn gloves were processed using Spaceborne Computer-2’s AI-enabled capabilities. The glove analyzer model, jointly developed by NASA and Microsoft, was then used to rapidly
look for signs of damage on-orbit, in space. If damage is detected, an AI-annotated photo is generated in space and immediately sent to Earth, highlighting areas for further review by NASA engineers.

• Automatic interpretation of satellite imagery after a disaster – NASA Jet Propulsion Laboratory (JPL) observes earth from space to study science and climate, as well as support disaster response. Using Spaceborne Computer-2 in concert with embedded processors, NASA JPL tested several deep learning inference networks to automatically interpret remote sensed images from land and structures after a disaster. For example, two such techniques use radar data from the UAVSAR platform to: determine flood extent, such as from a hurricane, and to determine urban building damage, such as from an earthquake. These techniques could be used onboard future spacecraft to rapidly deliver actionable products to relevant authorities to assist in disaster recovery.

• Enabling 3D printing in space with validated software – As humans look to future deep space travel, ordering supplies to repair or build new equipment from Earth will not be timely and practical. To increase self-sufficiency by enabling additive manufacturing for humans traveling beyond low earth orbit (LEO), Cornell Fracture Group, part of Cornell University, developed a modeling software that can simulate 3D printing of metal parts and predict failure and deformation that may result when printing in the harsh condition of space. The software was successfully tested on Spaceborne Computer-2, validating that it can be used in space to digitally simulate a part and understand how it will perform in reality.

• Expanding network capability on the ISS with a 5G core prototype – Cumucore, a private mobile network solution provider, tested its 5G core network, along with RAN emulators and other features, on Spaceborne Computer-2, to emulate current capabilities on the base
station and end user devices. The validation demonstrated the potential to install state-of-the-art 5G capabilities on selected satellites and spacecraft to unlock a new level of communications in space. The validation also has the potential to support near future opportunities using 5G due to expansion of commercialization of space.

• Developing software codes to calculate fuel requirements based on space travel distance — As part of HPE’s work with students to mentor and support STEM research, HPE opened up Spaceborne Computer-2 to students in India involved in Codewars, an educational community and competition for computer programming. The projects largely focused on developing code using C++, Python and Fortran, with one
involving C++ Pythagoras theorem code to calculate how much fuel is needed for given space travel distance to directly travel to without requiring refueling.

Join HPE at Space Symposium – April 4-7, 2022: HPE is exhibiting at the annual 37th Space Symposium conference in Colorado Springs, Colorado, at booth #1457. HPE, NASA and Microsoft will demo the AI Hand Glove experiment at the HPE booth.

Dr. Mark Fernandez, principal investigator of Spaceborne Computer-2 at HPE, will also present in the
following panel:
• Venturing Further in Space, with AI
• Tuesday, April 5, 2022
• 3-4 pm MDT
To learn more about Spaceborne Computer-2 and how to submit a proposal to use the system, visit: www.hpe.com/info/spaceborne

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