DeepXplore brings a software testing perspective to deep neural networks and, in doing so, creates the opportunity for enormous amounts of follow-on work in several...David G. Andersen From Communications of the ACM | November 2019
We design, implement, and evaluate DeepXplore, the first white-box framework for systematically testing real-world deep learning systems.
Kexin Pei, Yinzhi Cao, Junfeng Yang, Suman Jana From Communications of the ACM | November 2019
There is a need for alternative techniques for understanding and evaluating QUIC when compared with previous transport-layer protocols.
Arash Molavi Kakhki, Samuel Jero, David Choffnes, Cristina Nita-Rotaru, Alan Mislove From Communications of the ACM | July 2019
This work studies the potential of a paradigm of heterogeneous execution models by developing a specialization engine for explicit-dataflow (SEED) and integrating...Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam From Communications of the ACM | June 2019
The authors of "Distributed Strategies for Computational Sprints" bring the rich theory of allocating scarce resources to the challenge of managing computational...Thomas F. Wenisch From Communications of the ACM | February 2019
We describe a computational sprinting architecture in which many, independent chip multiprocessors share a power supply and sprints are constrained by the chips'...Songchun Fan, Seyed Majid Zahedi, Benjamin C. Lee From Communications of the ACM | February 2019
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...Tim Harris From Communications of the ACM | December 2018
We propose a method called Node Replication (NR) to implement any concurrent data structure.
Irina Calciu, Siddhartha Sen, Mahesh Balakrishnan, Marcos K. Aguilera From Communications of the ACM | December 2018
"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
"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...John Baillieul From Communications of the ACM | October 2018
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...Luca Mottola, Kamin Whitehouse From Communications of the ACM | October 2018
"Emotion Recognition Using Wireless Signals" shows that not only can the heartrate be counted with accuracy comparable to ECG devices, but the variabilities of...Romit Roy Choudhury From Communications of the ACM | September 2018
This paper demonstrates a new technology that can infer a person's emotions from RF signals reflected off his body.
Mingmin Zhao, Fadel Adib, Dina Katabi From Communications of the ACM | September 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