Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

School of Computer Science Assistant Professor Sahil Singla was awarded an NSF CAREER Award to create new, more efficient algorithms for online resource allocation. Singla researches algorithms, with ...

Introduction: In cloud computing, a common idea to reduce operation costs and improve service quality is to study task scheduling algorithms. Methods: To better allocate virtual machine resources, a ...

Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond A two-step approach to gain high-memory utilization in huge pages. By Martin Maas, David G. Andersen, ...

Edge/Cloud Infinite-Time Horizon Resource Allocation for Distributed Machine Learning and General Tasks Abstract: Edge computing has emerged as a computing paradigm where the application and data ...

In this work, we develop a solution for serving weakly coupled general distributed algorithms, with emphasis on machine learning algorithms, at the edge and/or the cloud. We present a dual-objective ...

In addition, deep reinforcement learning shows strong perception and continuous decision-making capabilities in automatic control problems, which provides a new idea and method for solving the service ...