Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: From Virtual Worlds to Digital Fabrication
The authors of "OpenFab" propose to revisit the processing pipeline that turns a 3D model into machine instructions in light of the solutions developed in computer...
From Communications of the ACM
OpenFab: A Programmable Pipeline for Multimaterial Fabrication
We present OpenFab, a programmable pipeline for synthesis of multimaterial 3D printed objects that is inspired by RenderMan and modern GPU pipelines.
From Communications of the ACM
Technical Perspective: Compressing Matrices for Large-Scale Machine Learning
Demand for more powerful big data analytics solutions has spurred the development of novel programming models, abstractions, and platforms. "Scaling Machine Learning...
From Communications of the ACM
Compressed Linear Algebra for Declarative Large-Scale Machine Learning
General-purpose compression struggles to achieve both good compression ratios and fast decompression for blockwise uncompressed operations. Therefore, we introduce...
From Communications of the ACM
Technical Perspective: To Do or Not To Do: Extending SQL with Integer Linear Programming?
"Scalable Computation of High-Order Optimization Queries," by Brucato et al., makes a case for marrying the well-established paradigms of constrained optimization...
From Communications of the ACM
Scalable Computation of High-Order Optimization Queries
We present a complete system that supports package queries, a new query model that extends traditional database queries to handle complex constraints and preferences...
From Communications of the ACM
Technical Perspective: Photorealistic Facial Digitization and Manipulation
If facial performance capture is possible for conventional RGB videos in real time, then believable facial expressions can be transferred effortlessly from one...
From Communications of the ACM
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
Face2Face is an approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). Our goal is to animate the facial expressions...
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: 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: The Rewards of Selfish Mining
"Majority Is Not Enough: Bitcoin Mining Is Vulnerable," by Eyal and Sirer, questions the 2009 Bitcoin white paper's implicit assumption of perfect information—that...
From Communications of the ACM
Majority Is Not Enough: Bitcoin Mining Is Vulnerable
We propose a practical modification to the Bitcoin protocol that protects Bitcoin in the general case.
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