Success Stories
Jacket is in use across a broad set of application areas in academia, research, government, medicine, and many others. Learn about how our customers have accomplished success on their business and research objectives with the Jacket family of products. Torben's Corner on the Jacket wiki is another excellent resource to learn from AccelerEyes customers.
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Medical Image Compression
Authors: Jaideep Singh, Ipseeta Aruni, R. Balasubramanian - IIT - Roorkee, India This study presents the acceleration of Haar wavelet-based image compression algorithm for medical imaging on the Graphics Processing Unit (GPU) using Jacket. Due to bandwidth and image size constraints of medical imaging systems, image compression plays a vital role in reducing the bit rate of transmission or storage. Wavelet-based image compression provides the most promising approach for high quality image compression. Last Updated: 23 June 2010 |
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Pathology advances with GPUs
Authors: Laboratory for Spectral Diagnosis at Northeastern University One element of the hyperspectral image analysis workflow that requires more than a traditional desktop workstation or personal computer is Hierarchical Cluster analysis (HCA). HCA requires a large amount of data space and substantial computation time (~11 hours) for typical datasets using a single processor personal computer. Rather than following the traditional approach of moving to a lower level programming language like C or C++ and complex parallel programming paradigms such as OpenMP or the Massage Passing Interface (MPI), the lab utilized graphics processing units, or GPUs, and the Jacket software platform. The solution allowed the lab to dramatically increase the performance of the analysis while substantially decreasing the amount of calendar time to reach the desired results. Last Updated: 27 May 2010 |
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Radar Clutter Reduction
Authors: David Berger and Gary Rubin - System Planning Corporation System Planning Corporation (SPC) uses Jacket to accelerate radar processing algorithms. The system processes raw data from marine navigation radars using a variety of thresholding techniques to extract real targets from clutter. This involves highly data-parallel processing in which each radar pulse is subjected to the same computations; very few operations occur across multiple pulses. Using Jacket, SPC has achieved 10x speed improvements relative to a Core i7-920 CPU and 5x improvements relative to a realtime DSP implementation. Last Updated: 26 May 2010 |
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Radar Image Formation
Authors: Gary Rubin and Earl Sager - System Planning Corporation Radar imaging is computationally intensive. As a result, many imaging algorithms apply FFT-based approximations. While efficient, these algorithms sacrifice data fidelity for speed. Other algorithms better preserve information, but are often too slow for many applications. At System Planning Corporation (SPC) , we have implemented a Matlab SAR/ISAR imaging routine based on the Backprojection algorithm. Using Jacket, we have demonstrated speedups of roughly 45x for large datasets. Last Updated: 26 May 2010 |
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Biomedical Infrared Spectroscopy
Authors: University of Manchester and Nofima Mat, Norway The authors present an iterative algorithm that applies full Mie scattering theory and avoids noise accumulation in their iterative algorithm by integrating a curve-fitting step. Jacket along with NVIDIA GPUs are leveraged to reduce the time added by the curve-fitting step. Last Updated: 20 May 2010 |
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Power Flow on the GPU with MATLAB
Authors: Indian Institute of Technology, Roorkee Power flow studies are one of the most important aspects of power system planning and operation. The power flow reveals the sinusoidal steady state characteristics of the entire system - voltages, real and reactive power generated, and absorbed and line losses- elucidating the voltage magnitudes and angles at each bus, the generation of each generating unit, and real and reactive power losses in the system. All this is necessary to ensure the security, economy, and control of electrical energy distribution. Learn how Jacket, GPUs, and MATLAB can deliver magnitudes of performance improvement over CPU-based solutions. Last Updated: 18 Apr 2010 |
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fMRI with SPM in Neuroimaging
Authors: Georgia Instititue of Technology The Georgia Tech team explores the value of Jacket and GPUs for fMRI workflows within the popular SPM - Statistical Parametric Mapping software widely used in neuroscience research. Last Updated: 8 Mar 2010 |
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3D Mantle Convection - Geodynamics
Authors: Boise State, University of Colorado, University of Minnesota The authors introduce a GPU implementation of a three-dimensional mantle convection modeling at a high Rayleigh number to the solid earth geophysics community. They outline code development time, compare performance of CPUs versus GPUs, and deliver powerful visualizations. Last Updated: 10 Feb 2010 |
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Brain Displacement
Authors: Spencer Technologies Spencer describes how Jacket software facilitates the development of fast algorithms enabling observation of brain displacement across depth with sampling density that far surpasses previous benchmarks. Last Updated: 23 Jan 2010 |
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Tsunami Modeling
Authors: University of Minnesota, Boise State, Saint Scholastica , and NCAR Natural catastrophic disasters like tsunamis commonly strike with little warning. For most people, tsunamis are underrated as major hazards. People sometimes wrongly believe that they occur infrequently and only along distant coasts. Tsunamis are usually caused by earthquakes. Seismic signals can give some margin of warning since the speed of tsunami waves travels at 1/30 the speed of seismic waves. Still there is little time between the creation of the tsunami and its impact making fast processing critical to producing effective warning systems. Jacket was used to run an RBF simulation on the GPU with a time to solution not available by other alternatives. Using Jacket, the authors were able to access the GPU without leaving the MATLAB environment. Last Updated: 20 Dec 2009 |
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Video Processing
Authors: Google and Stanford University Video content analysis is the basis for categorizing videos and enabling search by content. Growing interest in using sparse-coding methods to extract motion features in video in support of video content analysis led to the application of Jacket and GPUs to improve performance by substantially accelerating the solution of the L1-regularized least-squares optimization problem. Last Updated: 13 Jan 2010 |
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Shallow Water Fluid Flow
Authors: Louisiana State University A lattice Boltzmann method (LBM) on high performance computing (HPC) environments for three-dimensional shallow water flow fields coupled to mass transport is developed. LBM is an attractive method for solving the multilayered shallow water equations because the extension to multilayer is straight forward with all of the simplicities and advantages of the LBM in mass transport in shallow water flows and the LBM performance on central processing unit (CPU)-based and graphics processing unit (GPU)-based HPC environments. Last Updated: 13 Jan 2009 |
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Geolocation
Authors: BAE Systems Geolocation is the identification of the real-world geographic location of a target of interest. In this application, the system receives the signal with an array of several antennas and computes the direction of arrival of the radio energy by measuring the time difference of arrival (or the phase difference) at the different antennas. Last Updated: 13 Jan 2009 |
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Drug Delivery Model
Authors: Georgia Institute of Technology In this work, MATLAB is used to simulate the delivery of a novel nanoparticle chemotherapy drug to cancerous tissue. Simulation allows scientists to predict experimental outcomes and thus reduce the cost of development and time to clinical relevance. The simulation model includes blood vessels, tumor cells, and healthy cells and an engine to calculate the spatial distributions of both drug and oxygen. Jacket is used to speed up the diffusion calculations for the drug and oxygen within the tissue. Last Updated: 09 Nov 2008 |
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Bioinformatics
Authors: Leibniz Institute of Plant Genetics and Crop Plant Research Multidimensional scaling (MDS) is a general computing technique to turn a distance matrix into a set of reconstructed points with pair-wise relationships approximating the original distances by points located in a usually low-dimensional space. Jacket is used to enhance execution of the HiT-MDS procedure and delivers considerable performance improvement. Last Updated: 13 Jan 2009 |