"Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication" addresses the problem of selecting code rates to optimize system performance...Emina Soljanin From Communications of the ACM | May 2022
We propose a rateless fountain coding strategy and prove that its latency is asymptotically equal to ideal load balancing, and it performs asymptotically zero redundant...Ankur Mallick, Malhar Chaudhari, Utsav Sheth, Ganesh Palanikumar, Gauri Joshi From Communications of the ACM | May 2022
This paper presents a study on the practicality of operating system kernel debloating, that is, reducing kernel code that is not needed by the target applications...Hsuan-Chi Kuo, Jianyan Chen, Sibin Mohan, Tianyin Xu From Communications of the ACM | May 2022
In "FANG," the authors focus on a strategy of automatically detecting disinformation campaigns on online media with a new graph-based, contextual technique for...Philippe Cudré-Mauroux From Communications of the ACM | April 2022
We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection.
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan From Communications of the ACM | April 2022
"Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?" by Shrestha et al. provides insight into the difficulty of learning...Jonathan Aldrich From Communications of the ACM | March 2022
Our findings demonstrate that interference is a widespread phenomenon, forcing programmers to adopt suboptimal, opportunistic learning strategies.
Nischal Shrestha, Colton Botta, Titus Barik, Chris Parnin From Communications of the ACM | March 2022
"Toward Systematic Architectural Design of Near-Term Trapped Ion Quantum Computers" presents a study on scaling trapped-ion quantum architectures, and challenges...Frederic T. Chong From Communications of the ACM | March 2022
Toward realizing QCCD-based trapped ion systems with 50-100 qubits, we perform an extensive application-driven architectural study evaluating the key design choices...Prakash Murali, Dripto M. Debroy, Kenneth R. Brown, Margaret Martonosi From Communications of the ACM | March 2022
"Supporting People with Autism Spectrum Disorders in the Exploration of PoIs" is an example of work that takes seriously the task of supporting a small group that...Robin Burke From Communications of the ACM | February 2022
We propose a novel Top-N recommendation model that combines information about an autistic user's idiosyncratic aversions with her/his preferences in a personalized...Noemi Mauro, Liliana Ardissono, Federica Cena From Communications of the ACM | February 2022
In this work, we study a fourth modification to the notion of efficient verification that originates in the study of quantum entanglement.
Zhengfeng Ji, Anand Natarajan, Thomas Vidick, John Wright, Henry Yuen From Communications of the ACM | November 2021
"Multi-Itinerary Optimization as Cloud Service," by Alexandru Cristian et al., makes accessible an end-to-end cloud service that produces traffic-aware, real-time...Pascal Van Hentenryck From Communications of the ACM | November 2021
We describe multi-itinerary optimization, a novel Bing Maps service that automates the process of building itineraries for multiple agents while optimizing their...Alexandru Cristian, Luke Marshall, Mihai Negrea, Flavius Stoichescu, Peiwei Cao, Ishai Menache From Communications of the ACM | November 2021
We present the first approach for checking the internal validity of online experiments statically, that is, from code alone.
Emma Tosch, Eytan Bakshy, Emery D. Berger, David D. Jensen, J. Eliot B. Moss From Communications of the ACM | September 2021
"WINOGRANDE" explores new methods of dataset development and adversarial filtering, expressly designed to prevent AI systems from making claims of smashing through...Leora Morgenstern From Communications of the ACM | September 2021
We introduce WinoGrande, a large-scale dataset of 44k problems, inspired by the original Winograd Schema Challenge, but adjusted to improve both the scale and the...Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi From Communications of the ACM | September 2021