arXiv (All)
open access
GPU-resident Execution for Timing-predictable Sensor Processing Systems
Real-time embedded systems increasingly place GPU-accelerated processing of high-bandwidth sensor streams inside closed-loop systems, but the CPU (the host) remains the primary orchestrator of each iteration. The host observes sensor inputs, submits CUDA work, waits for completion, and commits actua
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- GPU-resident Execution for Timing-predictable Sensor Processing Systems#1291766
- Exploiting Dependency and Parallelism: Real-Time Scheduling and Analysis for GPU Tasks#2742
- WarpGuard: Towards Control-Flow Attestation for Heterogeneous CPU-GPU Execution#370276
- Penrose: Privacy-Preserving Performance Profiling of In-The-Wild GPUs#1062797
- VDCores: Resource Decoupled Programming and Execution for Asynchronous GPU#155230
Record · ID 1298305
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive