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20182023
most citedTowards Demystifying Serverless Machine Learning Training

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

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5 papers · 1 filter

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.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.DC2020

HyperLogLog Sketch Acceleration on FPGA

Amit Kulkarni, Monica Chiosa, Thomas B. Preußer +3

Data sketches are a set of widely used approximated data summarizing techniques. Their fundamental property is sub-linear memory complexity on the input cardinality, an important a…

cs.DC2020

High Bandwidth Memory on FPGAs: A Data Analytics Perspective

Kaan Kara, Christoph Hagleitner, Dionysios Diamantopoulos +2

FPGA-based data processing in datacenters is increasing in popularity due to the demands of modern workloads and the ensuing necessity for specialization in hardware. Driven by thi…