OpenPiton research is one of the watershed moments in the fundamental shift toward the construction of an open source ecosystem for implementing prototype chips...Michael B. Taylor From Communications of the ACM | December 2019
We present OpenPiton, an open source framework for building scalable architecture research prototypes from one core to 500 million cores.
Jonathan Balkind, Michael McKeown, Yaosheng Fu, Tri Nguyen, Yanqi Zhou, Alexey Lavrov, Mohammad Shahrad, Adi Fuchs, Samuel Payne, Xiaohua Liang, Matthew Matl, David Wentzlaff From Communications of the ACM | December 2019
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
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
"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
In "Coz: Finding Code that Counts with Causal Profiling," Curtsinger and Berger describe causal profiling, which tell programmers exactly how much speed-up bang...Landon P. Cox From Communications of the ACM | June 2018
This paper introduces causal profiling. Unlike past profiling approaches, causal profiling indicates exactly where programmers should focus their optimization efforts...Charlie Curtsinger, Emery D. Berger From Communications of the ACM | June 2018