Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: Tracking Pandemic-Driven Internet Traffic
"A Year in Lockdown," by Anja Feldmann, et al., offers a detailed look at how Internet traffic changed during the COVID-19 pandemic.
From Communications of the ACM
A Year in Lockdown: How the Waves of COVID-19 Impact Internet Traffic
We review the impact of the first year of the COVID-19 pandemic on Internet traffic in order to analyze its performance.
From Communications of the ACM
Technical Perspective: An Elegant Model for Deriving Equations
"Deriving Equations from Sensor Data Using Dimensional Function Synthesis," by Vasileios Tsoutsouras, et al., addresses the key problem of discovering relationships...
From Communications of the ACM
Deriving Equations from Sensor Data Using Dimensional Function Synthesis
We present a new method, which we call dimensional function synthesis, for deriving functions that model the relationship between multiple signals in a physical...
From Communications of the ACM
Technical Perspective: Race Logic Presents a Novel Form of Encoding
"In-Sensor Classification With Boosted Race Trees," by Georgios Tzimpragos, et al., proposes a surprising, novel, and creative approach to post-Moore's Law computing...
From Communications of the ACM
In-Sensor Classification With Boosted Race Trees
We demonstrate the potential of a novel form of encoding, race logic, in which information is represented as the delay in the arrival of a signal.
From Communications of the ACM
Technical Perspective: A Chiplet Prototype System for Deep Learning Inference
"Simba," by Yakun Sophia Shao, et al., presents a scalable deep learning accelerator architecture that tackles issues ranging from chip integration technology to...
From Communications of the ACM
Simba: Scaling Deep-Learning Inference with Chiplet-Based Architecture
This work investigates and quantifies the costs and benefits of using multi-chip-modules with fine-grained chiplets for deep learning inference, an application...
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...
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...
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: Deciphering Errors to Reduce the Cost of Quantum Computation
In "Constant Overhead Quantum Fault Tolerance with Quantum Expander Codes," by Omar Fawzi, et al., the authors produce an algorithm that can rapidly deduce the...
From Communications of the ACM
Constant Overhead Quantum Fault Tolerance with Quantum Expander Codes
In this paper, we study the asymptotic scaling of the space overhead needed for fault-tolerant quantum computation.
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...
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...
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: ASIC Clouds: Specializing the Datacenter
Can we build purpose-built, warehouse-scale datacenters customized for large-scale arrays of ASIC accelerators or, to use a term coined in the paper by Michael...
From Communications of the ACM