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Molly A. O'Neil, Martin Burtscher
Numeric simulations often generate large amounts of data that need to be stored or sent to other compute nodes. This paper investigates whether GPUs are powerful enough to make real-time data compression and decompression possible in such environments, that is, whether they can operate at the 32- or 40-Gb/s throughput of emerging network cards. The […]
J. L. Herraiz, S. Espana, S. Garcia, R. Cabido, A. S. Montemayor, M. Desco, J. J. Vaquero, J. M. Udias
A CUDA implementation of the existing software FIRST (Fast Iterative Reconstruction Software for (PET) Tomography) is presented. This implementation uses consumer graphics processing units (GPUs) to accelerate the compute-intensive parts of the reconstruction: forward and backward projection. FIRST was originally developed in FORTRAN, and it has been migrated to C language to be used with […]
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Maurizio de Pascale, Gabriele Sarcuni, Domenico Prattichizzo
This paper describes the implementation of a demo. The demo of “soft-finger grasping of physically based quasi-rigid objects” will provide solutions to grasp objects that are locally deformable and move according to rigid-body dynamics. This work summarizes the choices of the overall software architecture and the single algorithms used to run the simulation of “soft-finger […]
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J. Woetzel, R. Koch
This paper describes a system for dense depth estimation for multiple images in real-time. The algorithm runs almost entirely on standard graphics hardware, leaving the main CPU free for other tasks as image capture, compression and storage during scene capture. We follow a plain-sweep approach extended by truncated SSD scores, shiftable windows and best camera […]
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