High Performance Open Source Lagrangian Oil Spill Model

2018 ◽  
pp. 118-128
Author(s):  
Andrea Anguiano-García ◽  
Olmo Zavala-Romero ◽  
Jorge Zavala-Hidalgo ◽  
Julio Antonio Lara-Hernández ◽  
Rosario Romero-Centeno
Keyword(s):  
Open Source ◽  
Oil Spill ◽  
High Performance

scholarly journals A High Performance Open-source Syringe Extruder Optimized for Extrusion and Retraction During FRESH 3D Bioprinting

HardwareX ◽  
2021 ◽  
pp. e00170
Author(s):  
Joshua W. Tashman ◽  
Daniel J. Shiwarski ◽  
Adam W. Feinberg
Keyword(s):  
Open Source ◽  
High Performance ◽  
3D Bioprinting

An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions

2017 ◽  
Vol 45 (4) ◽  
pp. 319-328 ◽  
Author(s):  
Lawrence V. Stanislawski ◽  
Kornelijus Survila ◽  
Jeffrey Wendel ◽  
Yan Liu ◽  
Barbara P. Buttenfield
Keyword(s):  
Surface Water ◽  
Open Source ◽  
High Performance ◽  
Water Drainage ◽  
Drainage Networks

MITK Diffusion Imaging

2012 ◽  
Vol 51 (05) ◽  
pp. 441-448 ◽  
Author(s):  
P. F. Neher ◽  
I. Reicht ◽  
T. van Bruggen ◽  
C. Goch ◽  
M. Reisert ◽  
...  
Keyword(s):  
Data Processing ◽  
Open Source ◽  
High Performance ◽  
Diffusion Imaging ◽  
Software Tool ◽  
Brain Anatomy ◽  
Sustainable Evaluation ◽  
Imaging Research ◽  
Interactive Data

SummaryBackground: Diffusion-MRI provides a unique window on brain anatomy and insights into aspects of tissue structure in living humans that could not be studied previously. There is a major effort in this rapidly evolving field of research to develop the algorithmic tools necessary to cope with the complexity of the datasets.Objectives: This work illustrates our strategy that encompasses the development of a modularized and open software tool for data processing, visualization and interactive exploration in diffusion imaging research and aims at reinforcing sustainable evaluation and progress in the field.Methods: In this paper, the usability and capabilities of a new application and toolkit component of the Medical Imaging and Interaction Toolkit (MITK, www.mitk.org), MITKDI, are demonstrated using in-vivo datasets.Results: MITK-DI provides a comprehensive software framework for high-performance data processing, analysis and interactive data exploration, which is designed in a modular, extensible fashion (using CTK) and in adherence to widely accepted coding standards (e.g. ITK, VTK). MITK-DI is available both as an open source software development toolkit and as a ready-to-use in stallable application.Conclusions: The open source release of the modular MITK-DI tools will increase verifiability and comparability within the research community and will also be an important step towards bringing many of the current techniques towards clinical application.

scholarly journals An Open-Source Cloud-FPGA Gene Regulatory Accelerator

2021 ◽  
Author(s):  
Lucas Bragança ◽  
Jeronimo Penha ◽  
Michael Canesche ◽  
Dener Ribeiro ◽  
José Augusto M. Nacif ◽  
...  
Keyword(s):  
Open Source ◽  
Gene Regulatory Networks ◽  
High Performance ◽  
Regulatory Networks ◽  
Cloud Services ◽  
On Demand ◽  
Speed Up ◽  
Gene Regulatory ◽  
High Level ◽  
Better Than

FPGAs are suitable to speed up gene regulatory network (GRN) algorithms with high throughput and energy efficiency. In addition, virtualizing FPGA using hardware generators and cloud resources increases the computing ability to achieve on-demand accelerations across multiple users. Recently, Amazon AWS provides high-performance Cloud's FPGAs. This work proposes an open source accelerator generator for Boolean gene regulatory networks. The generator automatically creates all hardware and software pieces from a high-level GRN description. We evaluate the accelerator performance and cost for CPU, GPU, and Cloud FPGA implementations by considering six GRN models proposed in the literature. As a result, the FPGA accelerator is at least 12x faster than the best GPU accelerator. Furthermore, the FPGA reaches the best performance per dollar in cloud services, at least 5x better than the best GPU accelerator.

scholarly journals Back-end porting of FT_MX based on LLVM compilation architecture

2021 ◽  
Vol 336 ◽  
pp. 04018
Author(s):  
Ping Deng ◽  
Xiaolong Zhu ◽  
Haiyan Sun ◽  
Yi Ren
Keyword(s):  
Open Source ◽  
High Performance ◽  
Instruction Set ◽  
University Of Illinois ◽  
Specific Process ◽  
Defense Technology ◽  
Migration Mechanism ◽  
National University ◽  
Compiler Framework ◽  
The University

The processor FT_MX is a high-performance chip independently developed by the National University of Defense Technology, with an innovative architecture and instruction set. LLVM architecture is a widely used and efficient open source compiler framework initiated by the University of Illinois. This paper introduces the basic architecture and functions of LLVM, analyzes the back-end migration mechanism of the architecture in detail, and gives the specific process of implementing FT_MX back-end migration, and realizes the support of LLVM architecture to the back-end of FT_MX processor.

An open source approach for oil spill detection using Sentinel-1 SAR images

2019 ◽  
Author(s):  
Evangelia Efi Konstantinidou ◽  
Polychronis Kolokoussis ◽  
Konstantinos Topouzelis ◽  
Ioannis Sidiris-Moutzouris
Keyword(s):  
Open Source ◽  
Oil Spill ◽  
Sar Images ◽  
Oil Spill Detection
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