The video shows a real-time screen capture of rendering the Moana Island scene using R2E2 on 2,000 tiny nodes on AWS Lambda.
- Each node features 4 GB of memory and 3 vCPUs; an aggergate of 8 TB of memory and 6,000 vCPUs.
- The scene is decomposed into ∼1 GB objects and is stored on S3 object store.
- For demo purposes, the upfront preprocessing has already been done and has generated the weights for scene objects.
- When the job is invoked, R2E2 immediately boots up thousands of nodes from zero.
Tech video will be available late August!
We thank the ACM SIGGRAPH reviewers for their helpful comments and suggestions. We are grateful to Matt Pharr, Solomon Boulos, Feng Xie, and Marc Brooker for conversations and feedback. This work was supported in part by NSF grants 2045714, 2039070, 2028733, and 1763256, DARPA contract HR001120C0107, a Sloan Research Fellowship, and by Google, Huawei, VMware, Dropbox, Amazon, and Meta Platforms.
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