33 citations · 48 across the 5 of their papers we have counts for
6 papers
FlexiFlow: Bandit-based Model Switching in ML Workflows
Abhilash Jindal, Todd Nief, Bhanu Prakash Vangala +6
Model optimizations help improve inference performance and accuracy of ML workflows. However, relying on a single model to perform inference across all data batches often fails to…
CHEX: Multiversion Replay with Ordered Checkpoints
Naga Nithin Manne, Shilvi Satpati, Tanu Malik +3
In scientific computing and data science disciplines, it is often necessary to share application workflows and repeat results. Current tools containerize application workflows, and…
A Dynamic Data Middleware Cache for Rapidly-growing Scientific Repositories
Tanu Malik, Xiaodan Wang, Philip Little +2
Modern scientific repositories are growing rapidly in size. Scientists are increasingly interested in viewing the latest data as part of query results. Current scientific middlewar…
Providing Scalable Data Services in Ubiquitous Networks
Tanu Malik, Raghvendra Prasad, Sanket Patil +2
Topology is a fundamental part of a network that governs connectivity between nodes, the amount of data flow and the efficiency of data flow between nodes. In traditional networks,…
The Effect of Faults on Network Expansion
Amitabha Bagchi, Ankur Bhargava, Amitabh Chaudhary +2
In this paper we study the problem of how resilient networks are to node faults. Specifically, we investigate the question of how many faults a network can sustain so that it still…
Deterministic Sampling and Range Counting in Geometric Data Streams
Amitabha Bagchi, Amitabh Chaudhary, David Eppstein +1
We present memory-efficient deterministic algorithms for constructing epsilon-nets and epsilon-approximations of streams of geometric data. Unlike probabilistic approaches, these d…