In "Coz: Finding Code that Counts with Causal Profiling," Curtsinger and Berger describe causal profiling, which tell programmers exactly how much speed-up bang...Landon P. Cox From Communications of the ACM | June 2018
This paper introduces causal profiling. Unlike past profiling approaches, causal profiling indicates exactly where programmers should focus their optimization efforts...Charlie Curtsinger, Emery D. Berger From Communications of the ACM | June 2018
When a serious security vulnerability is discovered in the SSL/TLS protocol, one would naturally expect a rapid response. "Analysis of SSL Certificate Reissues...Kenny Paterson From Communications of the ACM | March 2018
We use Heartbleed, a widespread OpenSSL vulnerability from 2014, as a natural experiment to determine whether administrators are properly managing their X.509 certificates...Liang Zhang, David Choffnes, Tudor Dumitraş, Dave Levin, Alan Mislove, Aaron Schulman, Christo Wilson From Communications of the ACM | March 2018
"Exploiting the Analog Properties of Digital Circuits for Malicious Hardware," by Kaiyuan Yang, et al., assumes semiconductor foundries (and others in chip fabrication)...Charles (Chuck) Thacker From Communications of the ACM | September 2017
We show how a fabrication-time attacker can leverage analog circuits to create a hardware attack that is small and stealthy.
Kaiyuan Yang, Matthew Hicks, Qing Dong, Todd Austin, Dennis Sylvester From Communications of the ACM | September 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
The authors of "Powering the Next Billion Devices with Wi-Fi" turn the problem of powering wireless sensor networks on its head. Instead of focusing on energy harvesting...Srinivasan Keshav From Communications of the ACM | March 2017
We present the first power over Wi-Fi system that delivers power to low-power sensors and devices and works with existing Wi-Fi chipsets.
Vamsi Talla, Bryce Kellogg, Benjamin Ransford, Saman Naderiparizi, Joshua R. Smith, Shyamnath Gollakota From Communications of the ACM | March 2017
A time-tested principle in computer systems design is to use an interface to separate an abstraction from its implementation. "Software-Defined Batteries" represents...Srinivasan Keshav From Communications of the ACM | December 2016
In this paper, we present a new hardware-software system, called Software Defined Battery, which allows system designers to integrate batteries of different chemistries...Anirudh Badam, Ranveer Chandra, Jon Dutra, Anthony Ferrese, Steve Hodges, Pan Hu, Julia Meinershagen, Thomas Moscibroda, Bodhi Priyantha, Evangelia Skiani From Communications of the ACM | December 2016
"A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services" presents a research deployment of Field Programmable Gate Arrays (FPGAs) in a Microsoft...James C. Hoe From Communications of the ACM | November 2016
We describe a medium-scale deployment of a composable, reconfigurable hardware fabric on a bed of 1,632 servers, and measure its effectiveness in accelerating the...Andrew Putnam, Adrian M. Caulfield, Eric S. Chung, Derek Chiou, Kypros Constantinides, John Demme, Hadi Esmaeilzadeh, Jeremy Fowers, Gopi Prashanth Gopal, Jan Gray, Michael Haselman, Scott Hauck, Stephen Heil, Amir Hormati, Joo-Young Kim, Sitaram Lanka, James Larus, Eric Peterson, Simon Pope, Aaron Smith, Jason Thong, Phillip Yi Xiao, Doug Burger From Communications of the ACM | November 2016
"DianNao Family: Energy-Efficient Hardware Accelerators for Machine Learning" shows a deep understanding of both neural net implementations and the issues in computer...Kurt Keutzer From Communications of the ACM | November 2016
We introduce a series of hardware accelerators (i.e., the DianNao family) designed for Machine Learning (especially neural networks), with a special emphasis on...Yunji Chen, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam From Communications of the ACM | November 2016