Communications of the ACM
Latest Research
From Communications of the ACM
Guided Exploration of Physically Valid Shapes For Furniture Design
The authors propose an interactive design framework for the efficient and intuitive exploration of geometrically and physically valid shapes.
From Communications of the ACM
Technical Perspective: Corralling Crowd Power
"Soylent: A Word Processor with a Crowd Inside," introduces an exciting vision of using crowd workers to power an interactive system — here, a word processor —...
From Communications of the ACM
Soylent: A Word Processor with a Crowd Inside
This paper introduces architectural and interaction patterns for integrating crowdsourced human contributions directly into user interfaces.
From Communications of the ACM
Technical Perspective: The Simplicity of Cache Efficient Functional Algorithms
In "Cache Efficient Functional Algorithms," Blelloch and Harper suggest we analyze the costs of functional algorithms by assuming objects are allocated sequentially...
From Communications of the ACM
Cache Efficient Functional Algorithms
We present a cost model for analyzing the memory efficiency of algorithms expressed in a simple functional language.
From Communications of the ACM
Technical Perspective: Virtual Reality in Your Living Room
The authors of IllumiRoom investigate what AR/VR could look like in a truly social environment — the living room.
From Communications of the ACM
Illumiroom: Immersive Experiences Beyond the TV Screen
IllumiRoom is a proof-of-concept system that surrounds a television with projected light, bringing video games, and film experiences out of the TV screen and into...
From Communications of the ACM
Technical Perspective: Programming Multicore Computers
"Can Traditional Programming Bridge the Ninja Performance Gap for Parallel Computing Applications" advocates an appealing division of labor between a developer...
From Communications of the ACM
Can Traditional Programming Bridge the Ninja Performance Gap For Parallel Computing Applications?
Current processor trends of integrating more cores with SIMD units have made it more to extract performance from applications. It is believed that traditional...
From Communications of the ACM
Technical Perspective: The Specialization Trend in Computer Hardware
Specialization improves energy-efficiency in computing but only makes economic sense if there is significant demand. A balance can often be found by designing...
From Communications of the ACM
Convolution Engine: Balancing Efficiency and Flexibility in Specialized Computing
We present the Convolution Engine (CE) — a programmable processor specialized for the convolution-like data-flow prevalent in computational photography, computer...
From Communications of the ACM
Technical Perspective: Image Processing Goes Back to Basics
In "Local Laplacian Filters," Paris et al. made a surprising move. They chose to build a system on the Laplacian pyramid, which is a very simple multiscale representation...
From Communications of the ACM
Local Laplacian Filters: Edge-Aware Image Processing with a Laplacian Pyramid
In this paper, we demonstrate that state-of-the-art edge-aware filters can be achieved with standard Laplacian pyramids.
From Communications of the ACM
Technical Perspective: The Equivalence Problem For Finite Automata
As the equivalence problem is essential in many applications, we need algorithms that avoid the worst-case complexity as often as possible. In "Hacking Nondeterminism...
From Communications of the ACM
Hacking Nondeterminism with Induction and Coinduction
We introduce bisimulation up to congruence as a technique for proving language equivalence of nondeterministic finite automata.
From Communications of the ACM
Technical Perspective: Big Data Needs Approximate Computing
"Neural Acceleration for General-Purpose Approximate Programs" demonstrates the significant advantages in cost, power, and latency through approximate computing...
From Communications of the ACM
Neural Acceleration For General-Purpose Approximate Programs
This paper describes a new approach that uses machine learning-based transformations to accelerate approximation-tolerant programs.
From Communications of the ACM
Technical Perspective: Rethinking Caches For Throughput Processors
As GPUs have become mainstream parallel processing engines, many applications targeting GPUs now have data locality more amenable to traditional caching. The...
From Communications of the ACM
Learning Your Limit: Managing Massively Multithreaded Caches Through Scheduling
This paper studies the effect of accelerating highly parallel workloads with significant locality on a massively multithreaded GPU.
From Communications of the ACM