In "Constant Overhead Quantum Fault Tolerance with Quantum Expander Codes," by Omar Fawzi, et al., the authors produce an algorithm that can rapidly deduce the...Daniel Gottesman From Communications of the ACM | January 2021
In this paper, we study the asymptotic scaling of the space overhead needed for fault-tolerant quantum computation.
Omar Fawzi, Antoine Grospellier, Anthony Leverrier From Communications of the ACM | January 2021
What is the right leak oracle that can precisely capture the behavior of leaks in Web applications? "BLeak: Automatically Debugging Memory Leaks in Web Applications...Harry Xu From Communications of the ACM | November 2020
This paper introduces BLeak (Browser Leak debugger), the first system for automatically debugging memory leaks in web applications.
John Vilk, Emery D. Berger From Communications of the ACM | November 2020
"MadMax: Analyzing the Out-of-Gas World of Smart Contracts," by Neville Grech et al., effectively discovers a new smart contract vulnerability, and proposes a detection...Benjamin Livshits From Communications of the ACM | October 2020
We identify gas-focused vulnerabilities and present MadMax: a static program analysis technique that automatically detects gas-focused vulnerabilities with very...Neville Grech, Michael Kong, Anton Jurisevic, Lexi Brent, Bernhard Scholz, Yannis Smaragdakis From Communications of the ACM | October 2020
Can we build purpose-built, warehouse-scale datacenters customized for large-scale arrays of ASIC accelerators or, to use a term coined in the paper by Michael...Parthasarathy Ranganathan From Communications of the ACM | July 2020
This paper distills lessons from Bitcoin ASIC Clouds and applies them to other large scale workloads, showing superior TCO (total cost of ownership) versus CPU...Michael Bedford Taylor, Luis Vega, Moein Khazraee, Ikuo Magaki, Scott Davidson, Dustin Richmond From Communications of the ACM | July 2020
Instead of handing trace records off to a collector for long-term storage and future processing, the system described in "Pivot Tracing: Dynamic Causal Monitoring...Rebecca Isaacs From Communications of the ACM | March 2020
This paper presents Pivot Tracing, a monitoring framework for distributed systems, which addresses the limitations of today's monitoring and diagnosis tools by...Jonathan Mace, Ryan Roelke, Rodrigo Fonseca From Communications of the ACM | March 2020
"Evidence that Computer Science Grades Are Not Bimodal" uses empirical methods to determine if belief in innate differences may explain why CS teachers see a bimodality...Mark Guzdial From Communications of the ACM | January 2020
There is a common belief that grades in computer science courses are bimodal. We devised a psychology experiment to understand why CS educators hold this belief...Elizabeth Patitsas, Jesse Berlin, Michelle Craig, Steve Easterbrook From Communications of the ACM | January 2020
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
The authors of "Building Certified Concurrent OS Kernels" illustrate that formal verification can scale up to a moderate-size program (6,500 lines of C) that has...Andrew W. Appel From Communications of the ACM | October 2019
In this work, we present CertiKOS, a novel compositional framework for building verified concurrent OS kernels.
Ronghui Gu, Zhong Shao, Hao Chen, Jieung Kim, Jérémie Koenig, Xiongnan (Newman) Wu, Vilhelm Sjöberg, David Costanzo From Communications of the ACM | October 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
"Predicting Program Properties from 'Big Code'" presents new techniques for leveraging big code to automate two programming activities: selecting understandable...Martin C. Rinard From Communications of the ACM | March 2019