"The Heat Method for Distance Computation," by Crane, Weischedel, and Wardetzky, shows that the gradient of the probability density function of a random walk is...Marc Alexa From Communications of the ACM | November 2017
We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains.
Keenan Crane, Clarisse Weischedel, Max Wardetzky From Communications of the ACM | November 2017
"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...David Silver From Communications of the ACM | November 2017
This paper is an extended version of our original 2015 Science article, with additional results showing Cepheus' in-game performance against computer and human...Michael Bowling, Neil Burch, Michael Johanson, Oskari Tammelin From Communications of the ACM | November 2017
"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...Jeffrey S. Foster From Communications of the ACM | October 2017
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...Baishakhi Ray, Daryl Posnett, Premkumar Devanbu, Vladimir Filkov From Communications of the ACM | October 2017
"Multi-Objective Parametric Query Optimization," by Immanuel Trummer and Christoph Koch is a remarkable tour de force exploration of the combination of both parametric...Jeffrey F. Naughton From Communications of the ACM | October 2017
We propose a generalization of the classical database query optimization problem: multi-objective parametric query (MPQ) optimization.
Immanuel Trummer, Christoph Koch From Communications of the ACM | October 2017
To avoid costly feedback loops between design, engineering, and fabrication, research in computer graphics has recently tried to incorporate key aspects of function...Helmut Pottmann From Communications of the ACM | August 2017
In this article, we describe an algorithm to generate designs for spinning objects by optimizing their mass distribution.
Moritz Bächer, Bernd Bickel, Emily Whiting, Olga Sorkine-Hornung From Communications of the ACM | August 2017
The past few years have seen a revolution in our understanding of arithmetic circuits. "Unexpected Power of Low-Depth Arithmetic Circuits" by Gupta et al. on the...Avi Wigderson From Communications of the ACM | June 2017
Several earlier results have shown that it is possible to rearrange basic computational elements in surprising ways to give more efficient algorithms. The main...Ankit Gupta, Pritish Kamath, Neeraj Kayal, Ramprasad Saptharishi From Communications of the ACM | June 2017
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...Jitendra Malik From Communications of the ACM | June 2017
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...Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton From Communications of the ACM | June 2017
"Exploiting Vector Instructions with Generalized Stream Fusion" points out that stream fusion by itself is not well suited for generating bulk instructions such...Guy Blelloch From Communications of the ACM | May 2017
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...Geoffrey Mainland, Roman Leshchinskiy, Simon Peyton Jones From Communications of the ACM | May 2017
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...Leonid Libkin From Communications of the ACM | March 2017
We introduce a framework for reasoning about data partitioning to detect when we can avoid the data reshuffling step.
Tom J. Ameloot, Gaetano Geck, Bas Ketsman, Frank Neven, Thomas Schwentick From Communications of the ACM | March 2017
"HACC: Extreme Scaling and Performance Across Diverse Architectures" describes the Hardware/Hybrid Accelerated Cosmology Code (HACC) framework, which uses a novel...Valentina Salapura From Communications of the ACM | January 2017
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...Salman Habib, Vitali Morozov, Nicholas Frontiere, Hal Finkel, Adrian Pope, Katrin Heitmann, Kalyan Kumaran, Venkatram Vishwanath, Tom Peterka, Joe Insley, David Daniel, Patricia Fasel, Zarija Lukić From Communications of the ACM | January 2017