Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: Reconsidering the Design of User-Schedulable Languages
The breakthrough of "Achieving High Performance the Functional Way," by Bastian Hagedorn et al., is in fundamentally rethinking the design of user-schedulable languages...
From Communications of the ACM
Achieving High Performance the Functional Way: Expressing High-Performance Optimizations as Rewrite Strategies
We show how to employ functional programming techniques to solve with elegance the challenge of using a high-level language to describe functionality and a separate...
From Communications of the ACM
Technical Perspective: Beautiful Symbolic Abstractions for Safe and Secure Machine Learning
"Proving Data-Poisoning Robustness in Decision Trees," by Samuel Drews et al., addresses the challenge of processing an intractably large set of trained models...
From Communications of the ACM
Proving Data-Poisoning Robustness in Decision Trees
We present a sound verification technique based on abstract interpretation and implement it in a tool called Antidote, which abstractly trains decision trees for...
From Communications of the ACM
Technical Perspective: The 'Art' of Automatic Benchmark Extraction
"DIAMetrics," by Shaleen Deep et al., describes a versatile framework from Google for automatic extraction of benchmarks and their distributed execution and performance...
From Communications of the ACM
DIAMETRICS: Benchmarking Query Engines at Scale
This paper introduces DIAMetrics: a novel framework for end-to-end benchmarking and performance monitoring of query engines.
From Communications of the ACM
Sampling Near Neighbors in Search for Fairness
We propose several efficient data structures for the exact and approximate variants of the fair near neighbor problem.
From Communications of the ACM
Technical Perspective: Can Data Structures Treat Us Fairly?
In "Sampling Near Neighbors in Search for Fairness," Aumüller et al. investigate a basic problem in similarity search called near neighbor in the context of fair...
From Communications of the ACM
Technical Perspective: Visualization Search: From Sketching to Natural Language
"Expressive Querying for Accelerating Visual Analytics," by Tarique Siddiqui et al., provides a general abstraction, along with advanced interfaces, focusing on...
From Communications of the ACM
Expressive Querying for Accelerating Visual Analytics
In this work, we introduce the problem of visualization search and highlight two underlying challenges of search enumeration and visualization matching.
From Communications of the ACM
Technical Perspective: Evaluating Sampled Metrics Is Challenging
"On Sampled Metrics for Item Recommendation," by Walid Krichene and Steffen Rendle, exposes a crucial aspect for the evaluation of algorithms and tools: the impact...
From Communications of the ACM
On Sampled Metrics for Item Recommendation
This paper investigates sampled metrics and shows that it is possible to improve the quality of sampled metrics by applying a correction, obtained by minimizing...
From Communications of the ACM
Technical Perspective: Balancing At All Loads
"Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication" addresses the problem of selecting code rates to optimize system performance...
From Communications of the ACM
Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication
We propose a rateless fountain coding strategy and prove that its latency is asymptotically equal to ideal load balancing, and it performs asymptotically zero redundant...
From Communications of the ACM
Technical Perspective: 'What Is the Ideal Operating System?'
The authors of "Set the Configuration for the Heart of the OS" put a fresh view on the practicability of automatic kernel debloating.
From Communications of the ACM
Set the Configuration for the Heart of the OS: On the Practicality of Operating System Kernel Debloating
This paper presents a study on the practicality of operating system kernel debloating, that is, reducing kernel code that is not needed by the target applications...
From Communications of the ACM
Technical Perspective: Leveraging Social Context for Fake News Detection
In "FANG," the authors focus on a strategy of automatically detecting disinformation campaigns on online media with a new graph-based, contextual technique for...
From Communications of the ACM
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection.
From Communications of the ACM
Technical Perspective: How Do Experts Learn New Programming Languages?
"Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?" by Shrestha et al. provides insight into the difficulty of learning...
From Communications of the ACM