Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: Solving Imperfect Information Games
"Heads-Up Limit Hold'em Poker Is Solved," by Michael Bowling, et al., takes the counterfactual regret minimization method for approximating a Nash equilibrium to...
From Communications of the ACM
Heads-Up Limit Hold'em Poker Is Solved
This paper is an extended version of our original 2015 Science article, with additional results showing Cepheus' in-game performance against computer and human...
From Communications of the ACM
Technical Perspective: Shedding New Light on an Old Language Debate
"A Large-Scale Study of Programming Languages and Code Quality in GitHub," by Baishakhi Ray, et al., studies whether programming language choice and code quality...
From Communications of the ACM
A Large-Scale Study of Programming Languages and Code Quality in Github
What is the effect of programming languages on software quality? In this study, we gather a very large data set from GitHub in an attempt to shed some empirical...
From Communications of the ACM
Technical Perspective: Broadening and Deepening Query Optimization Yet Still Making Progress
"Multi-Objective Parametric Query Optimization," by Immanuel Trummer and Christoph Koch is a remarkable tour de force exploration of the combination of both parametric...
From Communications of the ACM
Multi-Objective Parametric Query Optimization
We propose a generalization of the classical database query optimization problem: multi-objective parametric query (MPQ) optimization.
From Communications of the ACM
Technical Perspective: A Gloomy Look at the Integrity of Hardware
"Exploiting the Analog Properties of Digital Circuits for Malicious Hardware," by Kaiyuan Yang, et al., assumes semiconductor foundries (and others in chip fabrication)...
From Communications of the ACM
Exploiting the Analog Properties of Digital Circuits For Malicious Hardware
We show how a fabrication-time attacker can leverage analog circuits to create a hardware attack that is small and stealthy.
From Communications of the ACM
Technical Perspective: Unexpected Connections
The inherent scalability of an interface is the focus of "The Scalable Commutativity Rule" by Austin T. Clements, et al.
From Communications of the ACM
The Scalable Commutativity Rule: Designing Scalable Software For Multicore Processors
This paper introduces an interface-driven approach to building scalable software.
From Communications of the ACM
Technical Perspective: Ironfleet Simplifies Proving Safety and Liveness Properties
"IronFleet: Proving Safety and Liveness of Practical Distributed Systems," by Chris Hawblitzel, et al., describes mechanically checked proofs for two non-trivial...
From Communications of the ACM
Ironfleet: Proving Safety and Liveness of Practical Distributed Systems
We demonstrate the methodology on a complex implementation of a Paxos-based replicated state machine library and a lease-based sharded key-value store. With our...
From Communications of the ACM
Technical Perspective: Building a Better Hash Function
In "Fast and Powerful Hashing Using Tabulation," Mikkel Thorup describes a variation of simple but surprisingly effective and powerful hash functions based on using...
From Communications of the ACM
Fast and Powerful Hashing Using Tabulation
We survey recent results on how simple hashing schemes based on tabulation provide unexpectedly strong guarantees.
From Communications of the ACM
Technical Perspective: What Led Computer Vision to Deep Learning?
We are in the middle of the third wave of interest in artificial neural networks as the leading paradigm for machine learning. "ImageNet Classification with Deep...
From Communications of the ACM
ImageNet Classification with Deep Convolutional Neural Networks
In the 1980s backpropagation did not live up to the very high expectations of its advocates. Twenty years later, we know what went wrong: for deep neural networks...
From Communications of the ACM
Technical Perspective: Building Knowledge Bases from Messy Data
"DeepDive: Declarative Knowledge Base Construction" is a prime example of groundbreaking work in the area of Knowledge Base Construction.
From Communications of the ACM
DeepDive: Declarative Knowledge Base Construction
We describe DeepDive, a system that combines database and machine learning ideas to help to develop knowledge base construction systems.
From Communications of the ACM
Technical Perspective: Functional Compilers
"Exploiting Vector Instructions with Generalized Stream Fusion" points out that stream fusion by itself is not well suited for generating bulk instructions such...
From Communications of the ACM