Communications of the ACM
Latest Research
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
Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google's Datacenter Network
We present our approach for overcoming the cost, operational complexity, and limited scale endemic to datacenter networks a decade ago.
From Communications of the ACM
Technical Perspective: Why Didn't I Think of That?
Until now, the database in a Web application has been treated as a global variable, accessible to all. In "Ur/Web: A Simple Model for Programming the Web," Adam...
From Communications of the ACM
Ur/Web: A Simple Model For Programming the Web
This paper presents Ur/Web, a domain-specific, statically typed functional programming language that reduces the nest of Web standards for modern Web applications...
From Communications of the ACM
Technical Perspective: Combining Logic and Probability
In "Probabilistic Theorem Proving," Gogate and Domingos suggest how PTP could be turned in a fast approximate algorithm by sampling from the set of children of...
From Communications of the ACM
Probabilistic Theorem Proving
Many representation schemes combining first-order logic and probability have been proposed in recent years. We propose the first method that has the full power...
From Communications of the ACM
Technical Perspective: Mesa Takes Data Warehousing to New Heights
Producing reports at the scale of Google Ads, where billions of clicks happen per day, is the challenge addressed by the Mesa system described in "Mesa: A Geo-Replicated...
From Communications of the ACM
Mesa: A Geo-Replicated Online Data Warehouse For Google's Advertising System
Mesa is a highly scalable analytic data warehousing system that stores critical measurement data related to Google's Internet advertising business. This paper presents...
From Communications of the ACM
Technical Perspective: The State (and Security) of the Bitcoin Economy
"A Fistful of Bitcoins" examines, in the context of Bitcoin, what we could learn by studying the patterns encoded in a complete record of every single financial...
From Communications of the ACM
A Fistful of Bitcoins: Characterizing Payments Among Men with No Names
Bitcoin has the unintuitive property that while the ownership of money is implicitly anonymous, its flow is globally visible. In this paper we explore this unique...
From Communications of the ACM
Technical Perspective: Fairness and the Coin Flip
"Secure Multiparty Computations on Bitcoin" introduces an exciting new idea for how to provide fairness: leverage Bitcoin’s existing infrastructure for distributed...
From Communications of the ACM
Secure Multiparty Computations on Bitcoin
In this work, we propose to use Bitcoin to design fully decentralized protocols that are secure even if no trusted third party is available.
From Communications of the ACM
Technical Perspective: Taming the Name Game
In "Learning to Name Objects," the authors offer a method to determine a basic-level category name for an object in an image.
From Communications of the ACM
Learning to Name Objects
This paper looks at the problem of predicting category labels that mimic how human observers would name objects.
From Communications of the ACM
Technical Perspective: Catching Lies (and Mistakes) in Offloaded Computation
The system described in "Pinocchio: Nearly Practical Verifiable Computation" refines an important theoretical advance by Gennaro et al. Together, these two works represent...
From Communications of the ACM
Pinocchio: Nearly Practical Verifiable Computation
We introduce Pinocchio, a built system for efficiently verifying general computations while relying only on cryptographic assumptions.
From Communications of the ACM