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...Sylvain Lefebvre From Communications of the ACM | September 2019
We present OpenFab, a programmable pipeline for synthesis of multimaterial 3D printed objects that is inspired by RenderMan and modern GPU pipelines.
Kiril Vidimče, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik From Communications of the ACM | September 2019
Demand for more powerful big data analytics solutions has spurred the development of novel programming models, abstractions, and platforms. "Scaling Machine Learning...Zachary G. Ives From Communications of the ACM | May 2019
General-purpose compression struggles to achieve both good compression ratios and fast decompression for blockwise uncompressed operations. Therefore, we introduce...Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald From Communications of the ACM | May 2019
"Scalable Computation of High-Order Optimization Queries," by Brucato et al., makes a case for marrying the well-established paradigms of constrained optimization...Surajit Chaudhuri From Communications of the ACM | February 2019
We present a complete system that supports package queries, a new query model that extends traditional database queries to handle complex constraints and preferences...Matteo Brucato, Azza Abouzied, Alexandra Meliou From Communications of the ACM | February 2019
If facial performance capture is possible for conventional RGB videos in real time, then believable facial expressions can be transferred effortlessly from one...Hao Li From Communications of the ACM | January 2019
Face2Face is an approach for real-time facial reenactment of a monocular target video sequence. Our goal is to animate the facial expressions of the target video...Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, Matthias Nießner From Communications of the ACM | January 2019
"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...Tanzeem Choudhury From Communications of the ACM | November 2018
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...Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-Kashani, Ann C. Halbower, Tam Vu From Communications of the ACM | November 2018
"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...Marc Snir From Communications of the ACM | October 2018
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.
Robert Gerstenberger, Maciej Besta, Torsten Hoefler From Communications of the ACM | October 2018
"Accelerating GPU Betweenness Centrality" by McLaughlin and Bader ably addresses the challenges to authors of efficient graph implementations in the important context...John D. Owens From Communications of the ACM | August 2018
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...Adam McLaughlin, David A. Bader From Communications of the ACM | August 2018
"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...Sharon Goldberg, Ethan Heilman From Communications of the ACM | July 2018
"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...Oren Etzioni From Communications of the ACM | May 2018
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)...T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, B. Yang, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J. Welling From Communications of the ACM | May 2018
This article shows that some new theoretical algorithms that have provable guarantees can be adapted to yield highly practical tools for topic modeling.
Sanjeev Arora, Rong Ge, Yoni Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu, Michael Zhu From Communications of the ACM | April 2018