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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...

Heads-Up Limit Hold'em Poker Is Solved
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...

A Large-Scale Study of Programming Languages and Code Quality in GitHub
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...

Multi-Objective Parametric Query Optimization
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...

ImageNet Classification with Deep Convolutional Neural Networks
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...

Exploiting Vector Instructions with Generalized Stream Fusion
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...

Reasoning on Data Partitioning for Single-Round Multi-Join Evaluation in Massively Parallel Systems
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...

HACC
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,...

Jupiter Rising
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...

Mesa
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...

A Fistful of Bitcoins
From Communications of the ACM

A Fistful of Bitcoins: Characterizing Payments among Men with No Names

Bitcoin has the unintuitive property that while the ownership of money is implicitly anonymous, its flow is globally visible. In this paper we explore this unique...
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