What to do about buggy compilers? The authors of "Practical Verification of Peephole Optimizations with Alive" give us a compelling and practical answer.
Steve Zdancewic From Communications of the ACM | February 2018
We created Alive, a domain-specific language for writing correct peephole optimizations and for automatically either proving them correct or else generating counterexamples...Nuno P. Lopes, David Menendez, Santosh Nagarakatte, John Regehr From Communications of the ACM | February 2018
The incentive auction scenario provides the backdrop for the breathtaking research contribution presented by Newman et al. in "Deep Optimization for Spectrum Repacking...David C. Parkes From Communications of the ACM | January 2018
This paper describes the process by which we built the SAT-based Feasibility Checker, a crucial element of the 2016-17 U.S. FCC "incentive auction" design.
Neil Newman, Alexandre Fréchette, Kevin Leyton-Brown From Communications of the ACM | January 2018
"Automatically Accelerating Non-Numerical Programs by Architecture-Compiler Co-Design," by Simone Campanoni, et al., proposes a modest hardware extension to support...James Larus From Communications of the ACM | December 2017
HELIX-RC is a compiler/microprocessor co-design that opens loops to parallelization by decoupling communication from thread execution in conventional multicore...Simone Campanoni, Kevin Brownell, Svilen Kanev, Timothy M. Jones, Gu-Yeon Wei, David Brooks From Communications of the ACM | December 2017
"A Theory of Pricing Private Data," by Chao Li, et al., introduces a fascinating and complicated issue that arises on the buy-side of the market when buyers are...Aaron Roth From Communications of the ACM | December 2017
We describe the foundations of a market in which those seeking access to data must pay for it and individuals are compensated for the loss of privacy they may suffer...Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu From Communications of the ACM | December 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
This paper introduces an interface-driven approach to building scalable software.
Austin T. Clements, M. Frans Kaashoek, Eddie Kohler, Robert T. Morris, Nickolai Zeldovich From Communications of the ACM | August 2017
"IronFleet: Proving Safety and Liveness of Practical Distributed Systems," by Chris Hawblitzel, et al., describes mechanically checked proofs for two non-trivial...Fred B. Schneider From Communications of the ACM | July 2017
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...Chris Hawblitzel, Jon Howell, Manos Kapritsos, Jacob R. Lorch, Bryan Parno, Michael L. Roberts, Srinath Setty, Brian Zill From Communications of the ACM | July 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