Josep Torrellas

Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures

2018 · arXiv (Cornell University)

Deep Neural Networks (DNNs) are fast becoming ubiquitous for their ability to attain good accuracy in various machine learning tasks. A DNN's architecture (i.e., its hyper-parameters) broadly determines the DNN's accuracy and performance, and is …

BabelFish: Fusing Address Translations for Containers

2020

Cloud computing has begun a transformation from using virtual machines to containers. Containers are attractive because multiple of them can share a single kernel, and add minimal performance overhead. Cloud providers leverage the lean nature …

Graphite

2022

Graph Neural Networks (GNNs) are becoming popular because they are effective at extracting information from graphs. To execute GNNs, CPUs are good platforms because of their high availability and terabyte-level memory capacity, which enables full-batch …

SpecFaaS: Accelerating Serverless Applications with Speculative Function Execution

2023

Serverless computing has emerged as a popular cloud computing paradigm. Serverless environments are convenient to users and efficient for cloud providers. However, they can induce substantial application execution overheads, especially in applications with many functions.In …