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From Communications of the ACM

Technical Perspective: Solving the Signal Reconstruction Problem at Scale

"Scalable Signal Reconstruction for a Broad Range of Applications," by Abolfazl Asudeh, et al. shows that algorithmic insights about SRP, combined with database...

Scalable Signal Reconstruction for a Broad Range of Applications
From Communications of the ACM

Scalable Signal Reconstruction for a Broad Range of Applications

Most of the common approaches for solving signal reconstruction problem do not scale to large problem sizes. We propose a novel and scalable algorithm for solving...

From Communications of the ACM

Technical Perspective: SkyCore's Architecture Takes It to the 'Edge'

"SkyCore," by Mehrdad Moradi, et al., addresses an exciting use case for Unmanned Aerial Vehicles in which UAVs can act as mobile base stations for the cellular...

SkyCore
From Communications of the ACM

SkyCore: Moving Core to the Edge for Untethered and Reliable UAV-Based LTE Networks

We argue for and propose an alternate, radical edge evolved packet core design, called SkyCore, that pushes the EPC functionality to the extreme edge of the core...

From Communications of the ACM

Technical Perspective: The Future of Large-Scale Embedded Sensing

The system described in "SATURN: An Introduction to the Internet of Materials" works passively, energized essentially by static electricity generated as layers...

SATURN
From Communications of the ACM

SATURN: An Introduction to the Internet of Materials

We propose an Internet of Materials, where the very materials of objects and surfaces are augmented or manufactured to have computational capabilities.

From Communications of the ACM

Technical Perspective: XNOR-Networks – Powerful but Tricky

How to produce a convolutional neural net that is small enough to run on a mobile device, and accurate enough to be worth using? The strategies in "Enabling AI...

Enabling AI at the Edge with XNOR-Networks
From Communications of the ACM

Enabling AI at the Edge with XNOR-Networks

We present a novel approach to running state-of-the-art AI algorithms in edge devices, and propose two efficient approximations to standard convolutional neural...

From Communications of the ACM

Technical Perspective: A Perspective on Pivot Tracing

Instead of handing trace records off to a collector for long-term storage and future processing, the system described in "Pivot Tracing: Dynamic Causal Monitoring...

Pivot Tracing
From Communications of the ACM

Pivot Tracing: Dynamic Causal Monitoring for Distributed Systems

This paper presents Pivot Tracing, a monitoring framework for distributed systems, which addresses the limitations of today's monitoring and diagnosis tools by...

From Communications of the ACM

Technical Perspective: Bootstrapping a Future of Open Source, Specialized Hardware

OpenPiton research is one of the watershed moments in the fundamental shift toward the construction of an open source ecosystem for implementing prototype chips...

OpenPiton
From Communications of the ACM

OpenPiton: An Open Source Hardware Platform For Your Research

We present OpenPiton, an open source framework for building scalable architecture research prototypes from one core to 500 million cores.

From Communications of the ACM

Technical Perspective: A Whitebox Solution for Blackbox-Like Behaviors

DeepXplore brings a software testing perspective to deep neural networks and, in doing so, creates the opportunity for enormous amounts of follow-on work in several...

DeepXplore
From Communications of the ACM

DeepXplore: Automated Whitebox Testing of Deep Learning Systems

We design, implement, and evaluate DeepXplore, the first white-box framework for systematically testing real-world deep learning systems.

From Communications of the ACM

Technical Perspective: Back to the Edge

"Heterogeneous Von Neumann/Dataflow Microprocessors" describes an innovative approach to exploit both CDFG and EDGE computation models.

Heterogeneous Von Neumann/Dataflow Microprocessors
From Communications of the ACM

Heterogeneous Von Neumann/Dataflow Microprocessors

This work studies the potential of a paradigm of heterogeneous execution models by developing a specialization engine for explicit-dataflow (SEED) and integrating...

From Communications of the ACM

Technical Perspective: How Economic Theories Can Help Computers Beat the Heat

The authors of "Distributed Strategies for Computational Sprints" bring the rich theory of allocating scarce resources to the challenge of managing computational...

Distributed Strategies for Computational Sprints
From Communications of the ACM

Distributed Strategies for Computational Sprints

We describe a computational sprinting architecture in which many, independent chip multiprocessors share a power supply and sprints are constrained by the chips'...

From Communications of the ACM

Technical Perspective: Node Replication Divides to Conquer

In "How to Implement Any Concurrent Data Structure," Calciu et al. show that a concurrent data structure can be built automatically and that its performance is...

How to Implement Any Concurrent Data Structure
From Communications of the ACM

How to Implement Any Concurrent Data Structure

We propose a method called Node Replication (NR) to implement any concurrent data structure.
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