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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...

ImageNet Classification with Deep Convolutional Neural Networks
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: Functional Compilers

"Exploiting Vector Instructions with Generalized Stream Fusion" points out that stream fusion by itself is not well suited for generating bulk instructions such...

Exploiting Vector Instructions with Generalized Stream Fusion
From Communications of the ACM

Exploiting Vector Instructions with Generalized Stream Fusion

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...

From Communications of the ACM

Technical Perspective: Data Distribution For Fast Joins

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...

Reasoning on Data Partitioning For Single-Round Multi-Join Evaluation in Massively Parallel Systems
From Communications of the ACM

Reasoning on Data Partitioning For Single-Round Multi-Join Evaluation in Massively Parallel Systems

We introduce a framework for reasoning about data partitioning to detect when we can avoid the data reshuffling step. 

From Communications of the ACM

Technical Perspective: Mapping the Universe

"HACC: Extreme Scaling and Performance Across Diverse Architectures" describes the Hardware/Hybrid Accelerated Cosmology Code (HACC) framework, which uses a novel...

HACC
From Communications of the ACM

HACC: Extreme Scaling and Performance Across Diverse Architectures

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...

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,...

Jupiter Rising
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: 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...

Mesa
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...

A Fistful of Bitcoins
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...

Secure Multiparty Computations on Bitcoin
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.

Learning to Name Objects
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...

Pinocchio
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.
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