Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: On Heartbleed: A Hard Beginnyng Makth a Good Endyng
When a serious security vulnerability is discovered in the SSL/TLS protocol, one would naturally expect a rapid response. "Analysis of SSL Certificate Reissues...
From Communications of the ACM
Analysis of SSL Certificate Reissues and Revocations in the Wake of Heartbleed
We use Heartbleed, a widespread OpenSSL vulnerability from 2014, as a natural experiment to determine whether administrators are properly managing their X.509 certificates...
From Communications of the ACM
Technical Perspective: A Gloomy Look at the Integrity of Hardware
"Exploiting the Analog Properties of Digital Circuits for Malicious Hardware," by Kaiyuan Yang, et al., assumes semiconductor foundries (and others in chip fabrication)...
From Communications of the ACM
Exploiting the Analog Properties of Digital Circuits For Malicious Hardware
We show how a fabrication-time attacker can leverage analog circuits to create a hardware attack that is small and stealthy.
From Communications of the ACM
Technical Perspective: Unexpected Connections
The inherent scalability of an interface is the focus of "The Scalable Commutativity Rule" by Austin T. Clements, et al.
From Communications of the ACM
The Scalable Commutativity Rule: Designing Scalable Software For Multicore Processors
This paper introduces an interface-driven approach to building scalable software.
From Communications of the ACM
Technical Perspective: Ironfleet Simplifies Proving Safety and Liveness Properties
"IronFleet: Proving Safety and Liveness of Practical Distributed Systems," by Chris Hawblitzel, et al., describes mechanically checked proofs for two non-trivial...
From Communications of the ACM
Ironfleet: Proving Safety and Liveness of Practical Distributed Systems
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...
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...
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: The Power of Wi-Fi to Deliver Power
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...
From Communications of the ACM
Powering the Next Billion Devices with Wi-Fi
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.
From Communications of the ACM
Technical Perspective: The Chemistry of Software-Defined Batteries
A time-tested principle in computer systems design is to use an interface to separate an abstraction from its implementation. "Software-Defined Batteries" represents...
From Communications of the ACM
Software-Defined Batteries
In this paper, we present a new hardware-software system, called Software Defined Battery, which allows system designers to integrate batteries of different chemistries...
From Communications of the ACM
Technical Perspective: Fpga Compute Acceleration Is First About Energy Efficiency
"A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services" presents a research deployment of Field Programmable Gate Arrays (FPGAs) in a Microsoft...
From Communications of the ACM
A Reconfigurable Fabric For Accelerating Large-Scale Datacenter Services
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...
From Communications of the ACM
Technical Perspective: If I Could Only Design One Circuit . . .
"DianNao Family: Energy-Efficient Hardware Accelerators for Machine Learning" shows a deep understanding of both neural net implementations and the issues in computer...
From Communications of the ACM
Diannao Family: Energy-Efficient Hardware Accelerators For Machine Learning
We introduce a series of hardware accelerators (i.e., the DianNao family) designed for Machine Learning (especially neural networks), with a special emphasis on...
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,...
From Communications of the ACM