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: 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: 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
Exploiting Vector Instructions with Generalized Stream Fusion
Programmers should not have to sacrifice code clarity or good software engineering practices to obtain performance. This work shows how to attain this goal for...
From Communications of the ACM
Technical Perspective: Data Distribution For Fast Joins
What is the most drastic way to reduce the cost of communication for parallel data processing algorithms? This is the question studied in "Reasoning on Data Partitioning...
From Communications of the ACM
Reasoning on Data Partitioning For Single-Round Multi-Join Evaluation in Massively Parallel Systems
We introduce a framework for reasoning about data partitioning to detect when we can avoid the data reshuffling step.
From Communications of the ACM
Technical Perspective: Mapping the Universe
"HACC: Extreme Scaling and Performance Across Diverse Architectures" describes the Hardware/Hybrid Accelerated Cosmology Code (HACC) framework, which uses a novel...
From Communications of the ACM
HACC: Extreme Scaling and Performance Across Diverse Architectures
In this Research Highlight, we demonstrate the success of HACC on two very different machines, the CPU/GPU system Titan and the BG/Q systems Sequoia and Mira, attaining...
From Communications of the ACM
Technical Perspective: Jupiter Rising
As "Jupiter Rising" makes clear, many of the Internet mechanisms for maintaining large-scale networks are suboptimal when the datacenter is largely homogeneous,...
From Communications of the ACM
Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google's Datacenter Network
We present our approach for overcoming the cost, operational complexity, and limited scale endemic to datacenter networks a decade ago.
From Communications of the ACM
Technical Perspective: Mesa Takes Data Warehousing to New Heights
Producing reports at the scale of Google Ads, where billions of clicks happen per day, is the challenge addressed by the Mesa system described in "Mesa: A Geo-Replicated...
From Communications of the ACM
Mesa: A Geo-Replicated Online Data Warehouse For Google's Advertising System
Mesa is a highly scalable analytic data warehousing system that stores critical measurement data related to Google's Internet advertising business. This paper presents...
From Communications of the ACM
Technical Perspective: The State (and Security) of the Bitcoin Economy
"A Fistful of Bitcoins" examines, in the context of Bitcoin, what we could learn by studying the patterns encoded in a complete record of every single financial...
From Communications of the ACM