High Speed 3D Tomography on CPU, GPU, and FPGA
نویسندگان
چکیده
منابع مشابه
High Speed 3D Tomography on CPU, GPU, and FPGA
Back-projection (BP) is a costly computational step in tomography image reconstruction such as positron emission tomography (PET). To reduce the computation time, this paper presents a pipelined, prefetch, and parallelized architecture for PET BP (3PAPET). The key feature of this architecture is its original memory access strategy, masking the high latency of the external memory. Indeed, the pa...
متن کاملDisparity Map Computation Speed Comparison for CPU, GPU and FPGA Implementations
1 Institute of Automation, University of Bremen, e-mail: [email protected] 2 Facultatea de Electronică şi Telecomunicaţii, Departamentul Electronică Aplicată, e-mail: [email protected] 3 Facultatea de Electronică şi Telecomunicaţii, Departamentul Comunicaţii, e-mail: [email protected] Abstract – In this paper a comparison of the processing speed of the disparity map computation usin...
متن کاملCPU and/or GPU: Revisiting the GPU Vs. CPU Myth
Parallel computing using accelerators has gained widespread research attention in the past few years. In particular, using GPUs for general purpose computing has brought forth several success stories with respect to time taken, cost, power, and other metrics. However, accelerator based computing has significantly relegated the role of CPUs in computation. As CPUs evolve and also offer matching ...
متن کاملHigh performance CPU/GPU multiresolution Poisson solver
We present a multipole-based N -body solver for 3D multiresolution, block-structured grids. The solver is developed for a single heterogeneous CPU/GPU compute node, and evaluates the multipole expansions on the CPU while offloading the particle-particle interactions to the GPU. The block-structure of the destination points is used to guide data parallelism on the CPU, to reduce data transfer to...
متن کاملReal Time High Precision Planetary Rendering on Integrated CPU/GPU
A high precision interactive planetary rendering system provides an important platform for many GIS applications. This paper presents a novel full-scale planetary rendering solution with a workload that is efficient and balanced on integrated CPU/GPU platforms. Our system generates highly accurate geometry on the fly on CPU and graphics lighting and shading on integrated GPU, while incorporatin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Embedded Systems
سال: 2008
ISSN: 1687-3963
DOI: 10.1155/2008/930250