Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 31 tok/s
Gemini 2.5 Pro 50 tok/s Pro
GPT-5 Medium 11 tok/s Pro
GPT-5 High 9 tok/s Pro
GPT-4o 77 tok/s Pro
Kimi K2 198 tok/s Pro
GPT OSS 120B 463 tok/s Pro
Claude Sonnet 4 36 tok/s Pro
2000 character limit reached

Computation offloading to hardware accelerators in Intel SGX and Gramine Library OS (2203.01813v1)

Published 2 Mar 2022 in cs.CR and cs.SE

Abstract: The Intel Software Guard Extensions (SGX) technology enables applications to run in an isolated SGX enclave environment, with elevated confidentiality and integrity guarantees. Gramine Library OS facilitates execution of existing unmodified applications in SGX enclaves, requiring only an accompanying manifest file that describes the application's security posture and configuration. However, Intel SGX is a CPU-only technology, thus Gramine currently supports CPU-only workloads. To enable a broader class of applications that offload computations to hardware accelerators - GPU offload, NIC offload, FPGA offload, TPM communications - Gramine must be augmented with device-backed mmap support and generic ioctl support. In this paper, we describe the design and implementation of this newly added support, the corresponding changes to the manifest-file syntax and the requisite deep copy algorithm. We evaluate our implementation on Intel Media SDK workloads and discuss the encountered caveats and limitations. Finally, we outline a use case for the presented mmap/ioctl support beyond mere device communication, namely the mechanism to slice the application into the trusted enclave part (where the core application executes) and the untrusted shared-memory part (where insecure shared libraries execute).

Citations (3)

Summary

We haven't generated a summary for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube