Výsledky vyhľadávania - parallel programming environment CUDA

GPUBlocks: GUI Programming Tool for CUDA and OpenCL Autor Hwang, Yuan-Shin, Lin, Hsih-Hsin, Pai, Shen-Hung, Tu, Chia-Heng

“… for average programmers, who might be professionals in specific domains, but not experts in parallel programming…”
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CUDABlock: A GUI Programming Tool for CUDA Autor Hsih-Hsin Lin, Chia-Heng Tu, Yuan-Shin Hwang

“… This paper presents a GUI tool called CUDA Block that can facilitate parallel programming on multicore computer systems…”
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COMPUTE UNIFIED DEVICE ARCHITECTURE (CUDA) GPU PROGRAMMING MODEL AND POSSIBLE INTEGRATION TO THE PARALLEL ENVIRONMENT Autor Ockay, Milos, Harakal', Marcel, Líska, Miroslav

“… CUDA simplified the development of parallel, general purpose applications on graphics accelerators and expanded possibilities of parallel processing…”
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New real-time correlation solar observing system based on GPU for acquiring the deep-integration magnetogram Autor Shen, Yang-bin, Lin, Jia-ben, Ji, Kai-fan, Deng, Yuan-yong

“…) parallel programming environment is employed in this system to speed up correlation tracking (CT…”
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A performance prediction model for the CUDA GPGPU platform Autor Kothapalli, K., Mukherjee, R., Rehman, M.S., Patidar, S., Narayanan, P.J., Srinathan, K.

“…) coupled with the advent of general purpose programming environments like NVIDIA's CUDA, has seen GPUs emerging as a very popular parallel computing platform…”
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GPT-Driven Source-to-Source Transformation for Generating Compilable Parallel CUDA Code for Nussinov’s Algorithm Autor Palkowski, Marek, Gruzewski, Mateusz

“… Nussinov’s parallel algorithm code within the OpenMP standard to create a parallel equivalent of CUDA for NVIDIA graphics cards…”
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On construction of a virtual GPU cluster with InfiniBand and 10 Gb Ethernet virtualization Autor Yang, Chao-Tung, Chen, Shuo-Tsung, Lo, Yu-Sheng, Kristiani, Endah, Chan, Yu-Wei

“… CUDA, a parallel computing platform and programming model created by NVIDIA, utilizes some parallel construction concepts to upgrade performance, such as hierarchical thread blocks, shared memory…”
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CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-Core Architectures Autor Martinez, G., Gardner, M., Wu-chun Feng

“… For years, CUDA has been the de facto programming environment for nearly all general-purpose GPU (GPGPU) applications…”
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Massively parallel modeling of electromagnetic field in conductive media: An MPI-CUDA implementation on Multi-GPU computers Autor Tu, Xiaolei, Bowles-Martinez, Esteban Jeremy, Schultz, Adam

“… The algorithm we present features a hybrid MPI-CUDA programming model suitable for multi…”
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Evaluation of parallel particle swarm optimization algorithms within the CUDA™ architecture Autor Mussi, Luca, Daolio, Fabio, Cagnoni, Stefano

“…), which are, in fact, massively parallel processing architectures. In this paper we discuss possible approaches to parallelizing PSO on graphics hardware within the Compute Unified Device Architecture (CUDA…”
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Parallelizing flow-accumulation calculations on graphics processing units—From iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm Autor Qin, Cheng-Zhi, Zhan, Lijun

“…As one of the important tasks in digital terrain analysis, the calculation of flow accumulations from gridded digital elevation models (DEMs) usually involves…”
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TELEPORT: Hardware/software alternative to CUDA shared memory programming Autor Lashgar, Ahmad, Atoofian, Ehsan, Baniasadi, Amirali

“…Using software-managed cache in CUDA programming provides significant potential to improve memory efficiency…”
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Towards a parallel component in a GPU-CUDA environment: a case study with the L-BFGS Harwell routine Autor D'Amore, L., Laccetti, G., Romano, D., Scotti, G., Murli, A.

“… This fact has encouraged the use of GPUs in a broader range of applications, where developers are required to lever age this technology with new programming models which ease the task of writing…”
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Error Classification and Static Detection Methods in Tri-Programming Models: MPI, OpenMP, and CUDA Autor Altalhi, Saeed Musaad, Eassa, Fathy Elbouraey, Sharaf, Sanaa Abdullah, Alghamdi, Ahmed Mohammed, Almarhabi, Khalid Ali, Khalid, Rana Ahmad Bilal

“…The growing adoption of supercomputers across various scientific disciplines, particularly by researchers without a background in computer science, has intensified the demand for parallel applications…”
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CUDA: Scalable parallel programming for high-performance scientific computing Autor Luebke, D.

“… in a familiar programming environment - the C programming language. We describe the CUDA programming model and motivate its use in the biomedical imaging community…”
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On the Virtualization of CUDA Based GPU Remoting on ARM and X86 Machines in the GVirtuS Framework Autor Montella, Raffaele, Giunta, Giulio, Laccetti, Giuliano, Lapegna, Marco, Palmieri, Carlo, Ferraro, Carmine, Pelliccia, Valentina, Hong, Cheol-Ho, Spence, Ivor, Nikolopoulos, Dimitrios S.

“… This drove to a highly hierarchical evolution of programming models. GVirtuS is the general virtualization system developed in 2009 and firstly introduced in 2010 enabling a completely transparent layer among GPUs and VMs…”
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A multithreaded CUDA and OpenMP based power‐aware programming framework for multi‐node GPU systems Autor Czarnul, Paweł

“…In the article, we have proposed a framework that allows programming a parallel application for a multi…”
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Acceleration of the Dual-Field Domain Decomposition Algorithm Using MPI-CUDA on Large-Scale Computing Systems Autor Meng, Huan-Ting, Jin, Jian-Ming

“…It is well known that graphics processing units (GPUs) are able to accelerate highly parallelizable algorithms with a high speedup. However, for…”
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High throughput graphics processing unit based Fano decoder Autor Ates, Ozgur, Keskin, Selcuk, Kocak, Taskin

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Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Computing on GPU with CUDA and ELLPACK-R Sparse Format Autor Bustamam, A., Burrage, K., Hamilton, N. A.

“… Meanwhile, GPU computing, which uses CUDA tool for implementing a massively parallel computing environment in the GPU card, is becoming a very powerful, efficient, and low-cost option to achieve…”
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