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From Communications of the ACM

Technical Perspective: Node Replication Divides to Conquer

In "How to Implement Any Concurrent Data Structure," Calciu et al. show that a concurrent data structure can be built automatically and that its performance is...

How to Implement Any Concurrent Data Structure
From Communications of the ACM

How to Implement Any Concurrent Data Structure

We propose a method called Node Replication (NR) to implement any concurrent data structure.

From Communications of the ACM

Technical Perspective: Making Sleep Tracking More User Friendly

"LIBS: A Bioelectrical Sensing System from Human Ears for Staging Whole-Night Sleep Study" provides a nice balance in terms of minimizing the burden on users and...

LIBS
From Communications of the ACM

LIBS: A Bioelectrical Sensing System from Human Ears for Staging Whole-Night Sleep Study

We explore a new form of wearable systems, called LIBS, that can continuously record biosignals such as brain wave, eye movements, and facial muscle contractions...

From Communications of the ACM

Technical Perspective: The Future of MPI

"Enabling Highly Scalable Remote Memory Access Programming with MPI-3 One Sided" convincingly shows that the potential of MPI one-sided communication can be realized...

Enabling Highly Scalable Remote Memory Access Programming with MPI-3 One Sided
From Communications of the ACM

Enabling Highly Scalable Remote Memory Access Programming with MPI-3 One Sided

In this work, we design and develop bufferless protocols that demonstrate how to implement the MPI-3 RMA interface and support scaling to millions of cores.

From Communications of the ACM

Technical Perspective: A Control Theorist's View on Reactive Control for Autonomous Drones

"Fundamental Concepts of Reactive Control for Autonomous Drones" introduces the notion of "reactive control" in which an autopilot's control logic is run only intermittently...

Fundamental Concepts of Reactive Control for Autonomous Drones
From Communications of the ACM

Fundamental Concepts of Reactive Control for Autonomous Drones

We conceive a notion of reactive control that allows drones to execute the low-level control logic only upon recognizing the need to, based on the influence of...

From Communications of the ACM

Technical Perspective: Graphs, Betweenness Centrality, and the GPU

"Accelerating GPU Betweenness Centrality" by McLaughlin and Bader ably addresses the challenges to authors of efficient graph implementations in the important context...

Accelerating GPU Betweenness Centrality
From Communications of the ACM

Accelerating GPU Betweenness Centrality

We present a hybrid GPU implementation that provides good performance on graphs of arbitrary structure rather than just scale-free graphs as was done previously...

From Communications of the ACM

Technical Perspective: Measuring Optimization Potential with Coz

In "Coz: Finding Code that Counts with Causal Profiling," Curtsinger and Berger describe causal profiling, which tell programmers exactly how much speed-up bang...

Coz
From Communications of the ACM

Coz: Finding Code that Counts with Causal Profiling

This paper introduces causal profiling. Unlike past profiling approaches, causal profiling indicates exactly where programmers should focus their optimization efforts...

From Communications of the ACM

Technical Perspective: Breaking the Mold of Machine Learning

"Never-Ending Learning" is the latest and one of the most compelling incarnations of Tom Mitchell and his collaborators' research investigating how to broaden the...

Never-Ending Learning
From Communications of the ACM

Never-Ending Learning

In this paper we define more precisely the never-ending learning paradigm for machine learning, and present one case study: the Never-Ending Language Learner (NELL)...

From Communications of the ACM

Technical Perspective: Expressive Probabilistic Models and Scalable Method of Moments

The authors of "Learning Topic Models—Provably and Efficiently," developed a new method for fitting topic models and at large scale.

Learning Topic Models – Provably and Efficiently
From Communications of the ACM

Learning Topic Models – Provably and Efficiently

This article shows that some new theoretical algorithms that have provable guarantees can be adapted to yield highly practical tools for topic modeling.

From Communications of the ACM

Technical Perspective: Can High Performance Be Portable?

"Halide: Decoupling Algorithms from Schedules for High-Performance Image Processing" by Ragan-Kelley et al. on the image processing language Halide explores a substantially...

Halide
From Communications of the ACM

Halide: Decoupling Algorithms from Schedules For High-Performance Image Processing

We propose a new programming language for image processing pipelines, called Halide, that separates the algorithm from its schedule.

From Communications of the ACM

Technical Perspective: Exploring a Kingdom By Geodesic Measures

"The Heat Method for Distance Computation," by Crane, Weischedel, and Wardetzky, shows that the gradient of the probability density function of a random walk is...

The Heat Method For Distance Computation
From Communications of the ACM

The Heat Method For Distance Computation

We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains.
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