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From Communications of the ACM

Technical Perspective: Exploring a Kingdom by Geodesic Measures

"The Heat Method for Distance Computation," by Crane, Weischedel, and Wardetzky, shows that the gradient of the probability density function of a random walk is...

The Heat Method for Distance Computation
From Communications of the ACM

The Heat Method for Distance Computation

We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains.

From Communications of the ACM

Technical Perspective: Linking Form, Function, and Fabrication

To avoid costly feedback loops between design, engineering, and fabrication, research in computer graphics has recently tried to incorporate key aspects of function...

Spin-It
From Communications of the ACM

Spin-It: Optimizing Moment of Inertia for Spinnable Objects

In this article, we describe an algorithm to generate designs for spinning objects by optimizing their mass distribution.

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.

The Scalable Commutativity Rule
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...

IronFleet
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: Low-depth Arithmetic Circuits

The past few years have seen a revolution in our understanding of arithmetic circuits. "Unexpected Power of Low-Depth Arithmetic Circuits" by Gupta et al. on the...

Unexpected Power of Low-Depth Arithmetic Circuits
From Communications of the ACM

Unexpected Power of Low-Depth Arithmetic Circuits

Several earlier results have shown that it is possible to rearrange basic computational elements in surprising ways to give more efficient algorithms. The main...

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...

DeepDive
From Communications of the ACM

DeepDive: Declarative Knowledge Base Construction

We describe DeepDive, a system that combines database and machine learning ideas to help to develop knowledge base construction systems.

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: Magnifying Motions the Right Way

"Eulerian Video Magnification and Analysis" demonstrates that phase differences at a given frequency band, due to subtle motions in a video, can be independently...

Eulerian Video Magnification and Analysis
From Communications of the ACM

Eulerian Video Magnification and Analysis

We present Eulerian Video Magnification, a computational technique for visualizing subtle color and motion variations in ordinary videos by making the variations...

From Communications of the ACM

Technical Perspective: 3D Image Editing Made Easy

The authors of "Extracting 3D Objects from Photographs Using 3-Sweep" present an important step toward achieving 3D editing.

Extracting 3D Objects from Photographs Using 3-Sweep
From Communications of the ACM

Extracting 3D Objects from Photographs Using 3-Sweep

We introduce an interactive technique to extract and manipulate simple 3D shapes in a single photograph.

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...
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