Search Results for author:
Found 3 papers, 1 papers with code
Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows
We consider ML query processing in distributed systems where GPU-enabled workers coordinate to execute complex queries: a computing style often seen in applications that interact with users in support of image processing and natural language processing.
Low-Latency ML Inference by Grouping Correlated Data Objects and Computation
ML inference workflows often require low latency and high throughput, yet we lack good options for addressing this need.
Cascade: A Platform for Delay-Sensitive Edge Intelligence
Interactive intelligent computing applications are increasingly prevalent, creating a need for AI/ML platforms optimized to reduce per-event latency while maintaining high throughput and efficient resource management.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
