Communications of the ACM
Latest Research
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...
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...
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...
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...
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...
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...
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.
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...
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...
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.
From Communications of the ACM