115 citations · 218 across the 21 of their papers we have counts for
8 papers · 1 filter
Hybrid Serverless Computing: Opportunities and Challenges
Paul Castro, Vatche Isahagian, Vinod Muthusamy +1
In recent years, there has been a surge in the adoption of serverless computing due to the ease of deployment, attractive pay-per-use pricing, and transparent horizontal auto-scali…
PipeSim: Trace-driven Simulation of Large-Scale AI Operations Platforms
Thomas Rausch, Waldemar Hummer, Vinod Muthusamy
Operationalizing AI has become a major endeavor in both research and industry. Automated, operationalized pipelines that manage the AI application lifecycle will form a significant…
FfDL : A Flexible Multi-tenant Deep Learning Platform
K. R. Jayaram, Vinod Muthusamy, Parijat Dube +9
Deep learning (DL) is becoming increasingly popular in several application domains and has made several new application features involving computer vision, speech recognition and s…
The server is dead, long live the server: Rise of Serverless Computing, Overview of Current State and Future Trends in Research and Industry
Paul Castro, Vatche Ishakian, Vinod Muthusamy +1
Serverless computing -- an emerging cloud-native paradigm for the deployment of applications and services -- represents an evolution in cloud application development, programming m…
Dependability in a Multi-tenant Multi-framework Deep Learning as-a-Service Platform
Scott Boag, Parijat Dube, Kaoutar El Maghraoui +7
Deep learning (DL), a form of machine learning, is becoming increasingly popular in several application domains. As a result, cloud-based Deep Learning as a Service (DLaaS) platfor…
IBM Deep Learning Service
Bishwaranjan Bhattacharjee, Scott Boag, Chandani Doshi +15
Deep learning driven by large neural network models is overtaking traditional machine learning methods for understanding unstructured and perceptual data domains such as speech, te…