Researchers from Tsinghua University, the Chinese Academy of Sciences, and David Bader of the New Jersey Institute of Technology credit ArrayFire in a paper published in the 2020 IEEE High-Performance Extreme Computing Conference (HPEC). The paper is titled “GPU Accelerated Anomaly Detection of Large Scale Light Curves.” In this research, light from 200,000 stars is tracked, looking for events of high-mass dark objects that bend light from the source, indicating the discovery of planets and black holes. Summary Microlensing is a unique anomaly that occurs when a lens (or lenses) passes between a light source (star) and an observer (Earth). These lenses are high-mass objects that bend the light from the source. This anomaly is helpful in the detection of “dark” objects. …
Simulating Soliton Excitations in Open Systems
Researchers from the University Bordeaux credit ArrayFire in a paper published in a Master’s Thesis by André Almeida. The thesis is titled “Soliton Excitations in Open Systems using GPGPU Supercomputing.” It investigates the stability of nonlinear excitations in open optical systems modeled by the Complex Ginzburg Landau Equation when influenced by effects such as dissipation and gain, using numerical simulations. Summary In the early years of the 19th century the naval engineer James Scott Russell made the first observation of a very uniform accumulation of water in a boat canal that was capable to propagate for many kilometers without any losses in amplitude and with constant width. This was a very strange phenomenon at the time because no known description of hydrodynamics …
Linguistic AI with RWS Language Weaver
Guest post by William Tambellini of RWS Language Weaver. This post shows how RWS Language Weaver, a comprehensive and adaptable neural machine translation platform, uses ArrayFire to run AI algorithms at scale. Language Weaver provides secure enterprise machine translation solutions adapted to client content – empowering you to communicate without language barriers. Language is often a barrier to clear communication with internal and external stakeholders. For governments, Language Weaver brings a global perspective into an analytics pipeline integrating with content intelligence applications to minimize the effort required to translate multilingual content. For global enterprises, Language Weaver can help you improve collaboration between teams, increase productivity, and go to market faster internationally. For legal and compliance teams, Language Weaver manages multilingual …
Visualizing a Trained Neural Network
Researchers from the University Bordeaux in France credit ArrayFire in a paper published in ICPR 2020’s workshop on Explainable Deep Learning for AI. The paper is titled “Samples Classification Analysis Across DNN Layers with Fractal Curves.” It provides a tool for visualizing where the deep neural network starts to be able to discriminate the classes. Summary Deep neural networks (DNN) are becoming the prominent solution when using machine learning models. However, they suffer from a black-box effect that complicates their inner workings interpretation and thus the understanding of their successes and failures. Information visualization is one way, among others, to help in their interpretability and hypothesis deduction. This paper presents a novel way to visualize atrained DNN to depict at the same …
An Exact and Fast Computation of the Discrete Fourier Transform for Polar and Spherical Grid
Researchers from the University of Central Florida credit ArrayFire in a paper published in IEEE Transactions on Signal Processing. The paper is titled “An Exact and Fast Computation of Discrete Fourier Transform for Polar and Spherical Grid” and provides the first exact and fast solution to the problem of obtaining discrete Fourier transform for polar and spherical grids. This paper is fully reproducible on Github. Summary Numerous applied problems of two-dimensional (2-D) and 3-D imaging are formulated in the continuous domain. They emphasize obtaining and manipulating the Fourier transform in polar and spherical coordinates. However, translating continuum ideas with discretely sampled data on a Cartesian grid is problematic. There exists no exact and fast solution to the problem of obtaining discrete Fourier …
Accelerated NSGA-2 for Multi-Objective Optimization Problems
Researchers from the Catalan Telecommunications Technology Centre in Spain credit ArrayFire in a paper published in the Applied Soft Computing Journal. The paper is titled “A GPU fully vectorized approach to accelerate performance of NSGA-2 based on stochastic non-domination sorting and grid-crowding” and showcases ArrayFire accelerating decision space exploration for multi-objective optimization problems. Summary This work introduces an accelerated implementation of NSGA-2 on a graphics processing unit (GPU) to reduce execution time. Parallelism is achieved at the population level using vectorization. All the algorithm components are run on the device, minimizing communication overhead. New stochastic versions of both non-domination sorting and crowding are introduced in the article. They are designed to be efficiently vectorized on GPU; therefore, the proposed approach is finally …
Topology Optimization with Accessibility Constraint for Multi-Axis Machining
Researchers from the Palo Alto Research Center (PARC) credit ArrayFire in a paper published in the Journal of Computer-Aided Design. The paper is titled “Topology Optimization with Accessibility Constraint for Multi-Axis Machining” and showcases ArrayFire accelerating the workload. Summary In this post, a topology optimization (TO) framework is presented to enable the automated design of mechanical components while ensuring the result can be manufactured using multi-axis machining. Although TO improves the part’s performance, the as-designed model is often geometrically too complex to be machined, and the as-manufactured model can significantly vary due to machining constraints that are not accounted for during TO. In other words, many of the optimized design features cannot be accessed by a machine tool without colliding with the …
Autonomous Air Refueling Path Planning for UAVs with ArrayFire
Researchers from the Aeronautics and Space Technologies Institute of the Turkish Air Force Academy credit ArrayFire in a paper published in the Journal of Intelligent & Robotic Systems. The paper is titled “Sigmoid Limiting Functions and Potential Field Based Autonomous Air Refueling Path Planning for UAVs” and showcases ArrayFire in a real-time application of UAV path planning. Summary This paper builds on previous approaches for autonomous air-refueling (AAR) path planning for Unmanned Aerial Vehicles (UAVs). Deficiencies from previous approaches, like smooth maneuvers in the tanker approach and the boundary functions of the potential zones, have been handled. Furthermore, special pattern parameters are added to the approach which makes it suitable for different kind of UAVs that has variable flight speed and turn …
Classification of Topological Discrepancies in 3D Printing with ArrayFire
Researchers from the Palo Alto Research Center in California credit ArrayFire in a paper published in the Journal of Computer-Aided Design. The paper is titled “A Classification of Topological Discrepancies in Additive Manufacturing” and showcases a novel approach for classification of local shape deviations in topological terms than can be used to improve 3D printing processes. The OpenCL version of ArrayFire on an NVIDIA GTX 1080 GPU was used for FFT-based convolutions and superlevel set operations. A design’s manufacturability via an additive manufacturing (AM) process is largely determined by the AM machine’s ability to print the shape within ‘acceptable limits’. The notion of geometric dimensioning and tolerancing has been used successfully to define and check these limits for conventionally manufactured …
Call for ArrayFire User Stories
There’s a sweet ArrayFire T-Shirt for anyone that submits a write-up of your success with the ArrayFire library. We’ve been working on a new website for our community, and we’d love to hear what you’re doing with the library. Also, your stories are important to the ArrayFire open source project in that we share them with project funders to motivate their continued investment in our community and library development. Please take some time to help us by sharing your success. We recognize that most people are not constantly focused on performance improvement. Most of you have ArrayFire in your toolbelt to accelerate code when your application demands excellent performance. If you have found it helpful in a project, please consider …