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August 30, 2016
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Multicore and GPU programming
Parallel programming is a key skill for current software engineers, at least if they intend to exploit the capabilities of current hardware. Multicore microprocessors are now commonplace, even in mobile devices, whereas the advent of general-purpose graphics processing units (GPGPUs) has led to heterogeneous parallel computing platforms... more
Quote
The idea of interacting via the quantum realm is as appealing as it is strange. Essentially, it involves communication by pure energy. Photons--light particles--can... more
- Christine Kenneally (2001)
Articles
Online passive-aggressive active learning: Machine Learning

This paper studies online active learning problems for classification tasks, devising so-called passive-aggressive active (PAA) learning algorithms. According to the paper, existing active learning methods such as perceptron methods usually “only use the... more

Learning (I.2.6) | Aug 30 16

Parallel programming model for the Epiphany many-core coprocessor using threaded MPI: Microprocessors & Microsystems

This particular parallel programming model using threaded message passing interface (MPI) was implemented on a special architecture... more

Interconnections (Subsystems) (B.4.3) | Aug 29 16

Exploiting hierarchical locality in deep parallel architectures: ACM Transactions on Architecture and Code Optimization

Locality awareness in programs can be used to improve their execution performance on parallel computers. Modern parallel computers have many levels of parallelism; many cores on a chip and many... more

Processors (D.3.4) | Aug 26 16

An improved augmented reality system based on AndAR: Journal of Visual Communication and Image Representation

Chen et al. introduce an augmented reality (AR) mechanism in mobile computing using AndAR as the AR development kit for developing augmented reality applications in Android... more

Artificial, Augmented & VR (H.5.1...) | Aug 23 16

A strand graph semantics for DNA-based computation: Theoretical Computer Science

Petersen et al. provide several excellent definitions and results on strand graph semantics for DNA computation in this lengthy but technically very sound paper. They very carefully review the state of art and... more

Biology & Genetics (J.3...) | Aug 23 16

The risks of self-auditing systems: Communications of the ACM

Impartial risk assessments of systems require independent external audits. Identifying risks posed by automatic self-auditing systems is not easy. How should internal self-auditing computing devices... more

Security & Protection (D.4.6) | Aug 22 16

Rigorous modeling and analysis of interoperable medical devices: MSM 16

“First, do no harm” meets the Internet of Things (IoT)? This paper proposes that we need to be sure that medical systems are functional, safe, and secure--of course. Further, the authors try to show how... more

Model Checking (D.2.4...) | Aug 19 16

Fine-grained appliance usage and energy monitoring through mobile and power-line sensing: Pervasive and Mobile Computing

Energy consumption is a current concern in many aspects of daily life. The concept of smart buildings, where researchers propose... more

General (K.4.0) | Aug 18 16

Systematic automation of scenario-based testing of user interfaces: EICS 16

In May 2016, the driver of a Tesla Model S equipped with the autopilot feature was killed when his vehicle crashed into a tractor-trailer [1]. Tesla confirmed that the vehicle’s autopilot was active and that its... more

User Interfaces (D.2.2...) | Aug 18 16

Rigorous modeling and analysis of interoperable medical devices: MSM 16

With the advent of the electronic health record (EHR), the quality of patient care increased. Many hospitals are encouraging patients to voluntarily provide their own health status (patient health record, PHR) to... more

Model Checking (D.2.4...) | Aug 18 16

Books
Discrete fourier and wavelet transforms

Fourier and wavelet transforms have proven to be indispensable tools in signal processing. They are taught in many courses, both at the graduate and undergraduate levels. When deciding how to teach these topics, the lecturer can choose from a number of different paths... more
Fast Fourier Transforms (FFT) (G.1.2...) | Aug 29 16

Beginning JSON

JSON stands for JavaScript object notation. It is a data-interchange format that has become very popular with web applications. Although important by itself, a data format is better understood inside a context or ecosystem. This is why, before explaining JSON... more
JavaScript (D.3.2...) | Aug 26 16

Agent-based modelling in economics

The social sciences have long been plagued by physics envy. The seductive simplicity of closed-form equations with strong predictive power in dealing with billiard balls, planets, and electrons suggests that we ought to be able to analyze the behavior of people with... more
Multiagent Systems (I.2.11...) | Aug 25 16

Machine learning paradigms: applications in recommender systems

Information overload has been a known phenomenon for at least the last two decades. Reordering or filtering search results, individualizing searched information, and providing recommendations are essential... more
Learning (I.2.6) | Aug 25 16

Sublinear algorithms for big data applications

“Big data” is the current buzzword pervading both the worlds of academia and industry. Between hype and distractions, research and innovation on big data proceeds at a very quick pace; in particular, the main subject of this book, the computational... more
Algorithms (I.5.3...) | Aug 24 16

Docker containers

When Computing Reviews invited me to review this book, I thought it would be a good way for me to understand what exactly docker containers are. After reading and rereading the first few chapters, I was still as ignorant as in the beginning, so I decided to take a... more
Systems Programs & Utilities (D.4.9) | Aug 24 16

Structural pattern recognition with graph edit distance

Defining the distance between two points in 2D or even 3D Euclidean space is easy and intuitive; we have easily understood the concept from our early school years. But what about defining the dissimilarity (that is, distance) between data types that cannot be... more
Design Methodology (I.5.2) | Aug 23 16

Principles of systems science

In October 1995, at the opening ceremonies of the University of Lincolnshire and Humberside (now the University of Lincoln), Her Majesty Queen Elizabeth II asked then Dean Mike C. Jackson of the Lincoln School of Management if he could tell her in a sentence... more
Systems & Information Theory (H.1.1) | Aug 23 16

Engineering safe and secure cyber-physical systems: the specification PEARL approach

Self-driving cars, process control systems, automatic pilot avionics, medical monitoring systems, smart cities, and the Internet of Things: welcome to the wonderful world of cyber-physical systems... more
Real-Time & Embedded Systems (C.3...) | Aug 23 16

Turing’s revolution: the impact of his ideas about computability

In his famous 1936 paper, Alan Turing solved an outstanding problem in mathematics--“What is an algorithm?”--and laid out the (theoretical) basis for the development of digital computers and programming languages... more
Models of Computation (F.1.1) | Aug 23 16


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