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09/08/2023
LLMCad: Fast and Scalable On-device Large Language Model Inference
Generative tasks, such as text generation and question answering, hold a...
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06/02/2023
SuperFlow: Performance Testing for Serverless Computing
Serverless computing is an emerging cloud computing paradigm that allows...
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05/10/2023
Fast Distributed Inference Serving for Large Language Models
Large language models (LLMs) power a new generation of interactive AI ap...
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05/07/2023
Revisiting the Performance of Serverless Computing: An Analysis of Variance
Serverless computing is an emerging cloud computing paradigm, which allo...
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04/13/2023
Energy-Efficient GPU Clusters Scheduling for Deep Learning
Training deep neural networks (DNNs) is a major workload in datacenters ...
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01/28/2023
Characterizing and Detecting WebAssembly Runtime Bugs
WebAssembly (abbreviated WASM) has emerged as a promising language of th...
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07/27/2022
Software Engineering for Serverless Computing
Serverless computing is an emerging cloud computing paradigm that has be...
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07/17/2022
LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing
Serverless computing is an emerging cloud computing paradigm that frees ...
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06/24/2022
A Literature Review on Serverless Computing
Serverless computing is an emerging cloud computing paradigm. Moreover, ...
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06/15/2022
Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading
This paper proposes Mandheling, the first system that enables highly res...
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12/12/2021
Demystifying Developers' Issues in Distributed Training of Deep Learning Software
Deep learning (DL) has been pervasive in a wide spectrum of nowadays sof...
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09/08/2021
From Cloud to Edge: A First Look at Public Edge Platforms
Public edge platforms have drawn increasing attention from both academia...
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02/10/2021
Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub
Emotions at work have long been identified as critical signals of work m...
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01/13/2021
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Deep Learning (DL) is finding its way into a growing number of mobile so...
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12/02/2020
VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts
WebAssemly is an emerging runtime for Web applications and has been supp...
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12/02/2020
Understanding Characteristics of Commodity Serverless Computing Platforms
Serverless computing becomes the new trending paradigm in cloud computin...
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10/22/2020
Hierarchical Federated Learning through LAN-WAN Orchestration
Federated learning (FL) was designed to enable mobile phones to collabor...
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09/20/2020
Exploring the Generalizability of Spatio-Temporal Crowd Flow Prediction: Meta-Modeling and an Analytic Framework
The Spatio-Temporal Crowd Flow Prediction (STCFP) problem is a classical...
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07/27/2020
Don't Fish in Troubled Waters! Characterizing Coronavirus-themed Cryptocurrency Scams
As COVID-19 has been spreading across the world since early 2020, a grow...
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06/12/2020
Heterogeneity-Aware Federated Learning
Federated learning (FL) is an emerging distributed machine learning para...
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05/02/2020
Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study
Deep learning (DL) becomes increasingly pervasive, being used in a wide ...
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02/15/2020
Neural Architecture Search over Decentralized Data
To preserve user privacy while enabling mobile intelligence, techniques ...
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02/13/2020
Characterizing EOSIO Blockchain
EOSIO has become one of the most popular blockchain platforms since its ...
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09/03/2019
A First Look at Blockchain-based Decentralized Applications
With the increasing popularity of blockchain technologies in recent year...
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09/02/2019
Approximate Query Processing on Autonomous Cameras
Surveillance IoT cameras are becoming autonomous: they operate on batter...
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07/04/2019
SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering
Sentiment analysis has various application scenarios in software enginee...
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04/28/2019
Supporting Video Queries on Zero-Streaming Cameras
As low-cost surveillance cameras grow rapidly, we advocate for these cam...
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01/27/2019
Moving Deep Learning into Web Browser: How Far Can We Go?
Recently, several JavaScript-based deep learning frameworks have emerged...
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12/12/2018
A First Look at Emoji Usage on GitHub: An Empirical Study
Emoji is becoming a ubiquitous language and gaining worldwide popularity...
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11/08/2018
A First Look at Deep Learning Apps on Smartphones
We are in the dawn of deep learning explosion for smartphones. To bridge...
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11/08/2018
When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning
Deep learning (DL) is a game-changing technique in mobile scenarios, as ...
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06/07/2018
Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification
Most existing sentiment analysis approaches heavily rely on a large amou...
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01/12/2018
Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data
Smartphones and smartphone apps have undergone an explosive growth in th...
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12/01/2017
Accelerating Convolutional Neural Networks for Continuous Mobile Vision via Cache Reuse
Convolutional Neural Network (CNN) is the state-of-the-art algorithm of ...
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12/01/2017
Flexible Installability of Android Apps with App-level Virtualization based Decomposition
With the popularity of smartphones, users are heavily dependent on mobil...
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11/30/2017
Automating Release of Deep Link APIs for Android Applications
Unlike the Web where each web page has a global URL to reach, a specific...
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05/16/2017
