activity
20112026
most citedFaster and More Accurate Sequence Alignment with SNAP

231 citations · 458 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DB2026

Delta Fair Sharing: Performance Isolation for Multi-Tenant Storage Systems

Tyler Griggs, Soujanya Ponnapalli, Dev Bali +8

Modern storage systems, often deployed to support multiple tenants in the cloud, must provide performance isolation. Unfortunately, traditional approaches such as fair sharing do n…

cs.AI2024

Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design

Jared Quincy Davis, Boris Hanin, Lingjiao Chen +3

As practitioners seek to surpass the current reliability and quality frontier of monolithic models, Compound AI Systems consisting of many language model inference calls are increa…

cs.LG2024★ 6 cited

Optimizing LLM Queries in Relational Data Analytics Workloads

Shu Liu, Asim Biswal, Amog Kamsetty +8

Batch data analytics is a growing application for Large Language Models (LLMs). LLMs enable users to perform a wide range of natural language tasks, such as classification, entity…

cs.LG2024★ 5 cited

Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Lingjiao Chen, Jared Quincy Davis, Boris Hanin +4

Many recent state-of-the-art results in language tasks were achieved using compound systems that perform multiple Language Model (LM) calls and aggregate their responses. However,…

cs.DC2022

The Sky Above The Clouds

Sarah Chasins, Alvin Cheung, Natacha Crooks +14

Technology ecosystems often undergo significant transformations as they mature. For example, telephony, the Internet, and PCs all started with a single provider, but in the United…

cs.DC2020★ 21 cited

Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers

Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan +6

Video analytics applications use edge compute servers for the analytics of the videos (for bandwidth and privacy). Compressed models that are deployed on the edge servers for infer…