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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: 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: 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...

Powering the Next Billion Devices with Wi-Fi
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: 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: 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...

A Reconfigurable Fabric For Accelerating Large-Scale Datacenter Services
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...

Diannao Family
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,...

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: 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...

Probabilistic Theorem Proving
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...

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...
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