Apps with hardware: enabling run-time architectural customization in smart phones

May 26, 2017 ~ Adrian Colyer ~ 3 Comments

Apps with hardware: enabling run-time architectural customization in smart phones Coughlin et al., USENIX ATC'16 This week we've had a couple of hardware-related papers, and one touching on mobile apps (in the context of DNNs). Today's choice brings those themes together with some really creative thinking - programmable hardware for smartphones! With thanks to Afshaan ... Continue Reading

Neurosurgeon: collaborative intelligence between the cloud and the mobile edge

May 25, 2017 ~ Adrian Colyer ~ 3 Comments

Neurosurgeon: collaborative intelligence between the cloud and mobile edge Kang et al., ASPLOS'17 For a whole class of new intelligent personal assistant applications that process images, videos, speech, and text using deep neural networks, the common wisdom is that you really need to run the processing in the cloud to take advantage of powerful clusters ... Continue Reading

Bolt: I know what you did last summer… in the cloud

May 24, 2017 ~ Adrian Colyer ~ 3 Comments

Bolt: I know what you did last summer... in the cloud Delimitrou & Kozyrakis, ASPLOS'17 You get your run-of-the-mill noisy neighbours - the ones who occasionally have friends round and play music a little too loud until a little too late. And then in the UK at least you get what we used to call ... Continue Reading

Determining application-specific peak power and energy requirements for ultra-low power processors

May 23, 2017 ~ Adrian Colyer ~ 2 Comments

Determining application-specific peak power and energy requirements for ultra-low power processors Cherupalli et al., ASPLOS'17 We're straying a little bit out of The Morning Paper comfort zone again this morning to look at one of the key hardware issues affecting the design of IoT devices: how much energy they use, and the related question of ... Continue Reading

Typed Architectures: architectural support for lightweight scripting

May 22, 2017 ~ Adrian Colyer ~ 3 Comments

Typed Architectures: architectural support for lightweight scripting Kim et al., ASPLOS'17 JavaScript, Python, Ruby, Lua, and related dynamically typed scripting languages are increasingly popular for developing IoT applications. For example, the Raspberry Pi is associated with Python; Arduino and Intel's Galileo and Edison are associated with JavaScript. In these constrained hardware environments though, using JITs ... Continue Reading

Who controls the Internet? Analyzing global threats using property traversal graphs

May 19, 2017 ~ Adrian Colyer ~ 7 Comments

Who controls the Internet? Analyzing global threats using property traversal graphs Simeonovski et al., WWW'17 Who controls the Internet? How much influence do they have? And what would happen if one of those parties launched an attack or was compromised and used to launch an attack? Previous works have looked at the individual core services, ... Continue Reading

BOAT: Building auto-tuners with structured Bayesian optimization

May 18, 2017 ~ Adrian Colyer ~ 2 Comments

BOAT: Building auto-tuners with structured Bayesian optimization Dalibard et al., WWW'17 Due to their complexity, modern systems expose many configuration parameters which users must tune to maximize performance... From the number of machines used in a distributed application, to low-level parameters such as compiler flags, managing configurations has become one of the main challenges faced ... Continue Reading

DeepSense: a unified deep learning framework for time-series mobile sensing data processing

May 17, 2017 ~ Adrian Colyer ~ 5 Comments

DeepSense: a unified deep learning framework for time-series mobile sensing data processing Yao et al., WWW'17 DeepSense is a deep learning framework that runs on mobile devices, and can be used for regression and classification tasks based on data coming from mobile sensors (e.g., motion sensors). An example of a classification task is heterogeneous human ... Continue Reading

Usage patterns and the economics of the public cloud

May 16, 2017 ~ Adrian Colyer ~ 6 Comments

Usage patterns and the economics of the public cloud Kilcioglu et al., WWW'17 Illustrating the huge diversity of topics covered at WWW, following yesterday's look at recovering mobile user trajectories from aggregate data, today's choice studies usage variation and pricing models in the public cloud. The basis for the study is data from 'a major ... Continue Reading

Trajectory recovery from Ash: User privacy is NOT preserved in aggregated mobility data

May 15, 2017 ~ Adrian Colyer ~ 11 Comments

Trajectory recovery from Ash: User privacy is NOT preserved in aggregated mobility data Xu et al., WWW'17 Borrowing a little from Simon Wardley's marvellous Enterprise IT Adoption Cycle, here's roughly how my understanding progressed as I read through this paper: Huh? What? How? Nooooo, Oh No, Oh s*@\#! Xu et al. show us that even ... Continue Reading

the morning paper

a random walk through Computer Science research, by Adrian Colyer
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