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Composability of parallel codes on heterogeneous architectures

Andra-Ecaterina Hugo

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Sparse direct solvers, Tesla M2070, Thesis

June 26, 2015 by hgpu

Block Time Step Storage Scheme for Astrophysical N-body Simulations

Maxwell Xu Cai, Yohai Meiron, M.B.N. Kouwenhoven, Paulina Assmann, Rainer Spurzem

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia

June 26, 2015 by hgpu

Ebb: A DSL for Physical Simluation on CPUs and GPUs

Gilbert Louis Bernstein, Chinmayee Shah, Crystal Lemire, Zachary DeVito, Matthew Fisher, Philip Levis, Pat Hanrahan

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Tags: Computer science, CUDA, DSL, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan Black, OpenGL, Physics

June 26, 2015 by hgpu

Toward a Multi-level Parallel Framework on GPU Cluster with PetSC-CUDA for PDE-based Optical Flow Computation

S. Cuomo, A. Galletti, G. Giunta, L. Marcellino

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Tags: Algorithms, Computer science, CUDA, Differential equations, GPU cluster, Heterogeneous systems, nVidia, nVidia Quadro K5000, Optical flow, Partial differential equations, PDEs

June 24, 2015 by hgpu

Alpha-Beta Divergences Discover Micro and Macro Structures in Data

Karthik Narayan, Ali Punjani, Pieter Abbeel

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Tags: Computer science, Computer vision, CUDA, Machine learning, nVidia, Tesla K40, Visualization

June 24, 2015 by hgpu

GPU-Friendly Local Regression for Voice Conversion

Taylor Berg-Kirkpatrick, Dan Klein

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Tags: Acoustics, CUDA, nVidia, Signal processing, Tesla K40

June 24, 2015 by hgpu

DCT-JPEG Image Coding Based on GPU

Rongyang Shan, Chengyou Wang, Wei Huang, Xiao Zhou

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 480

June 24, 2015 by hgpu

Concurrent Task Execution on the Intel Xeon Phi

Yucheng Zhu

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Tags: Bioinformatics, Biology, Computer science, CUDA, Intel Xeon Phi, nVidia, OpenMP, Sequence alignment, Smith-Waterman algorithm, Tesla K20, Thesis

June 22, 2015 by hgpu

Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C

Amadou Chaibou, Oumarou Sie

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 670, OpenMP, Sequence alignment, Smith-Waterman algorithm

June 22, 2015 by hgpu

GPU accelerated spectral finite elements on all-hex meshes

J.-F. Remacle, R. Gandham, T. Warburton

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, nVidia GeForce GTX 980, OpenCL, Spectral elements, Tesla K40

June 22, 2015 by hgpu

Generating Efficient Tensor Contractions for GPUs

Thomas Nelson, Axel Rivera, Prasanna Balaprakash, Mary Hall, Paul D. Hovland, Elizabeth Jessup, Boyana Norris

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Tags: Algorithms, Chemistry, Computer science, CUDA, Fluid dynamics, Machine learning, nVidia, OpenACC, Optimization

June 22, 2015 by hgpu

Autotuning Tensor Contraction Computations on GPUs

Axel Rivera, Mary Hall, Paul D. Hovland, Elizabeth Jessup, Thomas Nelson, Boyana Norris

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Tags: Benchmarking, Code generation, Computer science, CUDA, Matrix multiplication, nVidia, OpenACC, Tesla C2050, Tesla K20

June 19, 2015 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Composability of parallel codes on heterogeneous architectures

Block Time Step Storage Scheme for Astrophysical N-body Simulations

Ebb: A DSL for Physical Simluation on CPUs and GPUs

Toward a Multi-level Parallel Framework on GPU Cluster with PetSC-CUDA for PDE-based Optical Flow Computation

Alpha-Beta Divergences Discover Micro and Macro Structures in Data

GPU-Friendly Local Regression for Voice Conversion

DCT-JPEG Image Coding Based on GPU

Concurrent Task Execution on the Intel Xeon Phi

Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C

GPU accelerated spectral finite elements on all-hex meshes

Generating Efficient Tensor Contractions for GPUs

Autotuning Tensor Contraction Computations on GPUs

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