Communications of the ACM
Latest Research
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...
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...
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...
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...
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...
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: 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...
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.
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...
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: The Dawn of Computational Light Transport
What would the world look like if we had a chance to observe it with a trillion frame-per-second video camera? "Imaging the Propagation of Light through Scenes...
From Communications of the ACM