activity
20182022
most citedTowards Demystifying Serverless Machine Learning Training

106 citations · 142 across the 8 of their papers we have counts for

collaborators

17 papers

cs.DC2022

Short-lived Datacenter

Michael Wawrzoniak, Ingo Müller, Rodrigo Bruno +2

Serverless platforms have attracted attention due to their promise of elasticity, low cost, and fast deployment. Instead of using a fixed virtual machine (VM) infrastructure, which…

cs.DC2021

From Research to Proof-of-Concept: Analysis of a Deployment of FPGAs on a Commercial Search Engine

Fabio Maschi, Gustavo Alonso, Anthony Hock-Koon +4

FPGAs are quickly becoming available in the cloud as a one more heterogeneous processing element complementing CPUs and GPUs. There are many reports in the literature showing the p…

cs.DB20216 cited

Farview: Disaggregated Memory with Operator Off-loading for Database Engines

Dario Korolija, Dimitrios Koutsoukos, Kimberly Keeton +3

Cloud deployments disaggregate storage from compute, providing more flexibility to both the storage and compute layers. In this paper, we explore disaggregation by taking it one st…

cs.DC2021106 cited

Towards Demystifying Serverless Machine Learning Training

Jiawei Jiang, Shaoduo Gan, Yue Liu +6

The appeal of serverless (FaaS) has triggered a growing interest on how to use it in data-intensive applications such as ETL, query processing, or machine learning (ML). Several sy…

cs.DB2021

Evaluating Query Languages and Systems for High-Energy Physics Data [Extended Version]

Dan Graur, Ingo Müller, Mason Proffitt +3

In the domain of high-energy physics (HEP), query languages in general and SQL in particular have found limited acceptance. This is surprising since HEP data analysis matches the S…

cs.AR2020

MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions

Wenqi Jiang, Zhenhao He, Shuai Zhang +9

Deep neural networks are widely used in personalized recommendation systems. Unlike regular DNN inference workloads, recommendation inference is memory-bound due to the many random…