June 2018 Table of Contents | Communications of the ACM

Home → Magazine Archive → June 2018 (Vol. 61, No. 6)

DEPARTMENT: Cerf's up

ACM's most prestigious recognition is the ACM A.M. Turing Award and the 2017 award goes to John Hennessy and David Patterson: "For pioneering a systematic, quantitative approach to the design and evaluation of computer architectures …

Vinton G. Cerf

Page 5

DEPARTMENT: Letters to the editor

When to Hold 'Em

"Always Out of Balance" (April 2018) overstated (somewhat) the effect of intractability by claiming the intractability of computing Nash equilibrium necessitates researchers abandon this notion in favor of other competition-related …

CACM Staff

Pages 6-7

DEPARTMENT: BLOG@CACM

Programming Programming Languages, and Analyzing Facebook's Failure

Mark Guzdial considers an idea with significant educational implications, while Susan Landau looks into the Cambridge Analytica/Facebook scandal.

Mark Guzdial, Susan Landau

Pages 8-9

COLUMN: News

Rewarded for RISC

ACM A.M. Turing Award recipients David Patterson and John Hennessy developed the "dangerous" idea that software should be simpler so it can be executed more quickly, which evolved into the Reduced Instruction Set Computer architecture …

Neil Savage

Pages 10-12

Deep Learning Hunts for Signals Among the Noise

Neural networks can deliver surprising, and sometimes unwanted, results.

Chris Edwards

Pages 13-14

3D Sensors Provide Security, Better Games

A variety of techniques allow sensors to locate and recognize objects in space.

Keith Kirkpatrick

Pages 15-17

Getting Hooked on Tech

Are technology companies maximizing profits by making users addicted to their products?

Logan Kugler

Pages 18-19

COLUMN: Inside risks

Risks of Cryptocurrencies

Considering the inherent risks of cryptocurrency ecosystems.

Nicholas Weaver

Pages 20-24

COLUMN: The profession of IT

An Interview with Dave Parnas

A discussion of ideas about software engineering.

Peter J. Denning

Pages 25-27

COLUMN: Kode Vicious

Watchdogs vs. Snowflakes

Taking wild guesses.

George V. Neville-Neil

Pages 28-29

COLUMN: Viewpoint

Effectiveness of Anonymization in Double-Blind Review

Assessing the effectiveness of anonymization in the review process.

C. Le Goues, Y. Brun, S. Apel, E. Berger, S. Khurshid, Y. Smaragdakis

Pages 30-33

SECTION: Practice

Designing Cluster Schedulers for Internet-Scale Services

Embracing failures for improving availability.

Diptanu Gon Choudhury, Timothy Perrett

Pages 34-40

Thou Shalt Not Depend on Me

A look at JavaScript libraries in the wild.

Tobias Lauinger, Abdelberi Chaabane, Christo B. Wilson

Pages 41-47

Documentation Is Automation

A.B.A. = Always be automating.

Thomas A. Limoncelli

Pages 48-53

SECTION: Contributed articles

Bias on the Web

Bias in Web data and use taints the algorithms behind Web-based applications, delivering equally biased results.

Ricardo Baeza-Yates

Pages 54-61

Ability-Based Design

By focusing on users' abilities rather than disabilities, designers can create interactive systems better matched to those abilities.

Jacob O. Wobbrock, Krzysztof Z. Gajos, Shaun K. Kane, Gregg C. Vanderheiden

Pages 62-71

Identifying Patterns in Medical Records through Latent Semantic Analysis

Text analysis can reveal patterns of association among medical terms and medical codes.

David Gefen, Jake Miller, Johnathon Kyle Armstrong, Frances H. Cornelius, Noreen Robertson, Aaron Smith-McLallen, Jennifer A. Taylor

Pages 72-77

SECTION: Review articles

Privacy in Decentralized Cryptocurrencies

When it comes to anonymizing cryptocurrencies, one size most definitely does not fit all.

Daniel Genkin, Dimitrios Papadopoulos, Charalampos Papamanthou

Pages 78-88

SECTION: Research highlights

Technical Perspective: Measuring Optimization Potential with Coz

In "Coz: Finding Code that Counts with Causal Profiling," Curtsinger and Berger describe causal profiling, which tell programmers exactly how much speed-up bang to expect for their optimization buck.

Landon P. Cox

Page 90

Coz: Finding Code that Counts with Causal Profiling

This paper introduces causal profiling. Unlike past profiling approaches, causal profiling indicates exactly where programmers should focus their optimization efforts, and quantifies their potential impact.

Charlie Curtsinger, Emery D. Berger

Pages 91-99

COLUMN: Last byte

RISC Management

ACM A.M. Turing award recipients John Hennessy and David Patterson have introduced generations of students to reduced instruction set computing.

Leah Hoffmann

Pages 104-ff

COLUMN: Inside risks

Session details: Inside risks

Page

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