[PDF] Top 20 Los humedales pampeanos como herramientas para preservar las lagunas
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Cofactorization on Graphics Processing Units
... For graphics processing units (GPUs) this is considered in [7, 5, 10] and for reconfigurable hardware such as field-programmable gate arrays in [53, 45, 17, 14, 19, 32, ... See full document
48
Optimizing photoacoustic image reconstruction using cross-platform parallel computation
... in graphics processing units (GPU), parallel computation has been widely used in various medical tomography modalities, such as PA [11–14], CT and MRI ... See full document
53
Volume ray casting techniques and applications using general purpose computations on graphics processing units
... Mipmapping is a common texturing technique used in computer graph- ics. Several resolutions of the same texture known as mipmaps may be stored and accessed depending on the required resolution of the texture. Textures ... See full document
129
Volume 70: Automated Verification of Critical Systems 2014
... GPUVerify is a formal verification technique and tool for the analysis of GPU kernels—programs designed to be executed in parallel on graphics processing units—with respect to two types of defects: ... See full document
7
GPGPU For Memory Optimization in Distributed Data Mining Md Shabbir Hassan, II Umesh Chandra Ph.D Scholar, Dept. of Computer Science, Sri Venkateshwara University, Meerut, UP, India
... state-of-art graphics processing units have prepared them the primary extensively manageable parallel processors with teraflops ...on graphics processing units (GPGPU), two ... See full document
8
Strategies for protecting intellectual property when using CUDA applications on graphics processing units
... Compiled CUDA binary code is often referred to as a Cubin, a contraction of CUDA and binary, which contains executable machine code, designed to run on a given tar- get architecture. As a result of the heavily ... See full document
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Data-parallel agent-based microscopic road network simulation using graphics processing units
... many-core processing architectures such as GPUs enable the use of fine-grained data-parallelism to offer high levels of ...computer graphics applications, GPUs are now commonly used to accelerate general ... See full document
129
Airborne radar clutter simulation using GPU (CUDA)
... GPU computing is the use of a GPU (graphics processing unit) together with a CPU to accelerate general-purpose scientific and engineering applications [3]. The GPU is especially well-suited to address ... See full document
11
BarraCUDA a fast short read sequence aligner using graphics processing units
... Modern graphics cards are designed primarily for ren- dering real time, high-definition complex 3D graphics fea- tures for various visual applications such as gaming and graphics ...Each ... See full document
9
Resident block structured adaptive mesh refinement on thousands of graphics processing units
... A CUDA-capable GPU is a collection of stream multipro- cessors (SMs), consisting of a number of stream processors (SPs) that share an instruction cache. The CUDA program- ming model revolves around the concept of ... See full document
144
Developing a multiscale, multi-resolution agent-based brain tumor model by graphics processing units
... To overcome the computation time problems, this study incorporates a graphics pro- cessing unit (GPU)-based parallel computing algorithm [18] into a multi-resolution design [16] to speed up the previous MABM ... See full document
37
Use of graphics processing units for sparse matrix-vector products in statistical machine learning applications
... ment of an auto-tuning library for SpMV on the GPU would be beneficial. While optimising for the CPU is reasonably well understood, GPU optimisa- tion techniques are not as well established [45]. In table 3.5 the SGEMV ... See full document
84
IMAGE RETRIEVAL BASED ON CONTENT WITH GRAPHICAL PROCESSING UNIT
... Gpu graphics pipeline undergoes various steps like vertex operations, Primitive assembly, Rasterization, Fragment operations and Composition ...of processing units, capable of achieving up to 1 ... See full document
87
Numerical Simulation of a Lead-Acid Battery Discharge Process using a Developed Framework on Graphic Processing Units
... Using Graphics Processing Units (GPU) for numerical simulations has become popular in the scientific and engineering ...parallel processing using ... See full document
50
Review on Smoothed Particles Hydrodynamics Simulation and Rendering
... An animation is an exceedingly horsy topic for all involves huge computation of particles in real time simulation. To produce animations, physically based simulation is used extremely in computer graphics. What ... See full document
9
Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit
... In this article, we introduce CURRENNT, an open-source parallel implementation of deep recurrent neural networks (RNNs) supporting graphics processing units (GPUs) through NVIDIA’s Computed Unified ... See full document
18
Implementing textural features on GPUs for improved real time pavement distress detection
... In our previous work, we proposed an implementation of image pre-processing operations and the wavelet transform for pavement distress detection on graphics processing units [9]. For pre- ... See full document
37
Accelerating the Computation of Haralick’s Texture Features using Graphics Processing Units (GPUs)
... NVidia offers an Application Programmable Interface (API), an extension to the programming language C called Compute Unified Device Architecture (CUDA), to use the highly parallel GPU architecture. One CUDA block ... See full document
216
Towards Comprehensive Parametric Code Generation Targeting Graphics Processing Units in Support of Scientific Computation
... on Line (15) in Figure 6.2, which is used as a column index of the two-dimensional arrays b and c. The current MetaFork-to-CUDA code generator does not support this format of non- linear expressions yet. In order to see ... See full document
98
Fast Fourier Transforms over Prime Fields of Large Characteristic and their Implementation on Graphics Processing Units
... Parallel programming has always been considered as a difficult task. Among many avail- able platforms, general purpose graphics processing unit (GPGPU) computing has proven to be a cost-effective solution ... See full document
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