[PDF] Top 20 Optimizing MAKWA on GPU and CPU
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Optimizing MAKWA on GPU and CPU
... for CPU, market effects contribute to the availability of “lower cost” CPU at lower clock rates: the equivalent of a top-of-the-line CPU, but operating at a lower frequency, is available for a ... See full document
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Online Full Text
... This study presents the application of computer vision and image processing segmentation rendered on a Graphics Processing Unit (GPU), a parallel processing capable device, using CUDA developed by NVIDIA. It ... See full document
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Hierarchical N-Body problem on graphics processor unit
... This implementation recursive algorithm can stored heavily than vertex parallelism ensures other developments in the GPU for on multiple render the CPU, the the tree structure the root c[r] ... See full document
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Lapedo : hybrid skeletons for programming heterogeneous multicore machines in Erlang
... a CPU and on a GPU (which can be obtained using ...the GPU is in processing work than a CPU thread (or vice ...sequential CPU threads and how many by ... See full document
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A Computational Comparison of Basis Updating Schemes for the Simplex Algorithm on a CPU GPU System
... The computation of the basis inverse is the most time-consuming step in simplex type algorithms. This inverse does not have to be computed from scratch at any iteration, but updating schemes can be applied to accelerate ... See full document
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Communication Optimization for Multi GPU Implementation of Smith Waterman Algorithm
... CGCM compiler uses three passes to optimize communication. All these compiler passes transform cyclic communication patterns to acyclic patterns. Three compiler passes are map promotion, alloca promotion and glue ... See full document
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Particle Filtering: The Need for Speed
... the GPU imple- mentation shows which parts are the most time consuming, see Figure ...the GPU implementation quickly becomes the random number generation (performed on the CPU), which shows that if ... See full document
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GPU-accelerated atmospheric chemical kinetics in the ECHAM/MESSy (EMAC) Earth system model (version 2.52)
... two CPU cores (MPI pro- cesses) from one node to be offloaded to the ...the GPU (exclusive ...each GPU dictate the total number of CPU cores that can run ...a GPU accelerator with ... See full document
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Performance Evaluation of Parallel AES Algorithm Implementing GPU
... on GPU and CPU, we ported to GPU the open source CPU ...the CPU and pass the extended key into the ...parallel GPU execution. The GPU threads play out the Encrypt() and ... See full document
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Parallel Programming Design of BPSK Signal Demodulation Based on CUDA
... Digital Phase modulation, namely Phase Shift Keying (Phase Shift Keying, PSK), is a very important basic digital modulation technology, which using carrier Phase modulation technique information to express input signal. ... See full document
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Automatic CUDA Code Synthesis Framework for Multicore CPU and GPU architectures
... hiCUDA [4] is an example that has been proposed as a directive-based programming language for CUDA programming. It uses compiler directives to specify parallel execution region of the application similarly to OpenMP. The ... See full document
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A Capability-Based Hybrid CPU/GPU Pattern Matching Algorithm for Deep Packet Inspection
... on CPU/GPU platform. The CHPMA first estimates CPU/GPU processing capability, and in runtime the system can automatically select one of the processing modes, CG-hybrid and GPU-direct, ... See full document
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EK-Classic Kit S360 D-RGB
... This is a value-oriented, high-performance D-RGB liquid cooling kit that comes with many accessories that help with building the loop. With low noise emissions, it is ready to be expanded with a GPU water block, ... See full document
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Accelerating Resolution-of-the-Identity Second Order Møller-Plesset Quantum Chemistry Calculations with Graphical Processing Units
... both CPU and GPU ...a GPU in RI-MP2 calculations of a series of alkanes, showing the effect of changing the number of electrons and the quality of the basis set used in the ... See full document
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IJCSMC, Vol. 5, Issue. 5, May 2016, pg.122 – 128 A QUALITATIVE APPROACH OF ACCELERATED OPERATION ON GPU USING CUDA FOR LARGE DATABASE OPERATIONS
... multi-core CPU, GPGPU has large number of ...increased GPU computing power. Due to the computational power of GPU, the SW algorithm has implemented by using CUDA ...different GPU-based SW ... See full document
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OPTIMIZING REAL TIME GPU KERNELS USING FUZZY INFERENCE SYSTEM
... the GPU computing field more and more applications are being developed which take advantage of the GPGPU ...the GPU implementation of IP algorithms like Hough Transform and reduction ...of GPU is ... See full document
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A Thesis. presented to. the Faculty of the Graduate School. at the University of Missouri-Columbia. In Partial Fulfillment
... As can be seen in Figures 5(a) and (c), on regular trees the recursive-naïve implementation leads to significant performance degradation over the serial CPU code (and the other GPU code variants) across all ... See full document
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GENIE: a software package for gene gene interaction analysis in genetic association studies using multiple GPU or CPU cores
... of API. Figure 2 shows the CUDA memory and thread hierarchies. A kernel is a C function that is executed by several GPU threads in parallel. A program exploiting the power of GPUs generally has portions of code ... See full document
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An FPGA-based processing pipeline for high-definition stereo video
... The proposed camera architecture has been evaluated using an experimental beam-splitter rig with two syn- chronized cameras, with a maximum resolution of 2, 048 × 2, 048 pixels at 30 fps. The host platform uses a ... See full document
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Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs
... Before comparing the different designs in terms of their execution time, we first evaluated the similarity of their model estimates. Due to the random aspects of the MCMC algorithm, each execution of the algorithm ... See full document
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