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Performance optimization is the art of continuous seeking a harmonious mapping between the application domain and hardware. Recent years have witnessed a surge of deep learning (DL) applications in industry. Conventional wisdom for…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-27 Guoping Long , Jun Yang , Wei Lin

Overlay architectures implemented on FPGA devices have been proposed as a means to increase FPGA adoption in general-purpose computing. They provide the benefits of software such as flexibility and programmability, thus making it easier to…

Hardware Architecture · Computer Science 2020-02-10 Joel Mandebi Mbongue , Danielle Tchuinkou Kwadjo , Christophe Bobda

Design For Manufacturing (DFM) approaches aim to integrate manufacturability aspects during the design stage. Most of DFM approaches usually consider only one manufacturing process, but products competitiveness may be improved by designing…

Other Computer Science · Computer Science 2011-06-17 Olivier Kerbrat , Pascal Mognol , Jean-Yves Hascoët

This article presents design techniques proposed for efficient hardware implementation of feedforward artificial neural networks (ANNs) under parallel and time-multiplexed architectures. To reduce their design complexity, after the weights…

Hardware Architecture · Computer Science 2021-08-05 Mohammadreza Esmali Nojehdeh , Sajjad Parvin , Mustafa Altun

There is an ongoing effort to develop tools that apply distributed computational resources to tackle large problems or reduce the time to solve them. In this context, the Alternating Direction Method of Multipliers (ADMM) arises as a method…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-09 Ning Hao , AmirReza Oghbaee , Mohammad Rostami , Nate Derbinsky , José Bento

Additive friction stir deposition (AFSD) is a novel solid-state additive manufacturing technique that circumvents issues of porosity, cracking, and properties anisotropy that plague traditional powder bed fusion and directed energy…

Machine Learning · Computer Science 2023-12-05 Akshansh Mishra

In this paper, we use multithreaded fast Fourier transforms provided in three highly optimized packages, FFTW-2.1.5, FFTW-3.3.7, and Intel MKL FFT, to present a novel model-based parallel computing technique as a very effective and portable…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-17 Semyon Khokhriakov , Ravi Reddy , Alexey Lastovetsky

Hybrid manufacturing (HM) technologies combine additive and subtractive manufacturing (AM/SM) capabilities in multi-modal process plans that leverage the strengths of each. Despite the growing interest in HM technologies, software tools for…

Computational Geometry · Computer Science 2022-06-06 George P. Harabin , Morad Behandish

The rapid adaptation of data driven AI models, such as deep learning inference, training, Vision Transformers (ViTs), and other HPC applications, drives a strong need for runtime precision configurable different non linear activation…

Hardware Architecture · Computer Science 2026-02-12 Mukul Lokhande , Gopal Raut , Santosh Kumar Vishvakarma

Interactive motion synthesis is essential in creating immersive experiences in entertainment applications, such as video games and virtual reality. However, generating animations that are both high-quality and contextually responsive…

Computer Vision and Pattern Recognition · Computer Science 2024-01-15 Tianyu Li , Calvin Qiao , Guanqiao Ren , KangKang Yin , Sehoon Ha

Additive manufacturing (AM) technology is undergoing rapid development and emerging as an advanced technique that can fabricate complex near-net shaped and light-weight metallic parts with acceptable strength and fatigue performance. A…

Materials Science · Physics 2023-11-14 Min Yi , Wei Tang , Yiqi Zhu , Chenguang Liang , Ziming Tang , Yan Yin , Weiwei He , Shen Sun

Additive manufacturing (AM) is a rapidly evolving technology that has attracted applications across a wide range of fields due to its ability to fabricate complex geometries. However, one of the key challenges in AM is achieving consistent…

Machine Learning · Computer Science 2025-02-05 Olabode T. Ajenifujah , Amir Barati Farimani

Power consumption has become the major concern in neural network accelerators for edge devices. The novel non-volatile-memory (NVM) based computing-in-memory (CIM) architecture has shown great potential for better energy efficiency.…

Systems and Control · Electrical Eng. & Systems 2024-02-22 Haobo Liu , Zhengyang Qian , Wei Wu , Hongwei Ren , Zhiwei Liu , Leibin Ni

The nonuniform fast Fourier transform (NUFFT) enables spectral methods for problems with irregularly spaced samples, with applications in medical imaging, molecular dynamics, and kinetic plasma simulations. Existing implementations are…

Computational Engineering, Finance, and Science · Computer Science 2026-05-12 Paul Fischill , Andreas Adelmann , Sriramkrishnan Muralikrishnan

Fused Deposition Modeling (FDM) is a widely used additive manufacturing (AM) technique valued for its flexibility and cost-efficiency, with applications in a variety of industries including healthcare and aerospace. Recent developments have…

Nowadays is very common to find headlines in the media where it is stated that 3D printing is a technology called to change our lives in the near future. For many authors, we are living in times of a third industrial revolution. Howerver,…

Instrumentation and Detectors · Physics 2017-02-08 L. J. Salazar-Serrano , A. Valencia , J. P. Torres

Recent advances in diffusion models have driven remarkable progress in image generation. However, the generation process remains computationally intensive, and users often need to iteratively refine prompts to achieve the desired results,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Yi Wei , Shunpu Tang , Liang Zhao , Qiangian Yang

Surface characteristics are a major contributor to the in-service performance, particularly fatigue life, of additively manufactured (AM) components. Centrifugal disk finishing (CDF) is one of many rigid media, abrasive machining processes…

Applied Physics · Physics 2024-06-26 Kenneth M. Peterson , Mustafa Rifat , Edward C. DeMeter , Saurabh Basu , Darren C. Pagan

Additive Manufacturing (AM) processes intended for large scale components deposit large volumes of material to shorten process duration. This reduces the resolution of the AM process, which is typically defined by the size of the deposition…

Computational Geometry · Computer Science 2021-05-19 Eduardo Fernández , Can Ayas , Matthijs Langelaar , Pierre Duysinx

Artificial intelligence and machine learning models deployed on edge devices, e.g., for quality control in Additive Manufacturing (AM), are frequently small in size. Such models usually have to deliver highly accurate results within a short…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-26 Marcel Aach , Cyril Blanc , Andreas Lintermann , Kurt De Grave
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