high performance computing on graphics processing units: hgpu.org

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Parallelisation of Shallow Water Simulation for Heterogeneous Architectures

Michail Emmanouil Pappas

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Tags: CUDA, Fluid dynamics, nVidia, nVidia Quadro FX 2000, OpenCL, Thesis

December 18, 2012 by hgpu

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

Peter Richtarik, Martin Takac, Selin Damla Ahipasaoglu

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Tags: CUBLAS, CUDA, Machine learning, nVidia, Package, Statistics

December 18, 2012 by hgpu

Improved FCM algorithm for Clustering on Web Usage Mining

K.Suresh, R.Madana Mohana, Dr.A.Rama Mohan Reddy

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Tags: Clustering, web usage mining

December 18, 2012 by sureshkallam

Implementation of 3D FFTs Across Multiple GPUs in Shared Memory Environments

Nimalan Nandapalan, Jiri Jaros, Alistair P Rendell, Bradley Treeby

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 580

December 18, 2012 by hgpu

Theoretical and Numerical Analysis of Three Approaches to the GPGPU Application of the Explicit FDTD Method

Aude Giraud

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Numerical Analysis, nVidia, Tesla T10, Thesis

December 18, 2012 by hgpu

Accelerating Haskell Array Codes with Algorithmic Skeletons on GPUs

Sean Youngsung Lee

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla S1070, Thesis

December 18, 2012 by hgpu

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Ralf Kaehler, Tom Abel

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Tags: Algorithms, Astrophysics, Cosmology, Differential equations, GLSL, Instrumentation and Methods for Astrophysics, KD-tree, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

December 18, 2012 by hgpu

Database Operation Development on the GPU

Scott Kuroda

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Tags: Computer science, Databases, Review

December 18, 2012 by hgpu

Acceleration of multivariate analysis techniques in TMVA using GPUs

A. Hoecker, H. McKendrick, J. Therhaag, A. Washbrook

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Tags: Biological Physics, CUDA, Neural networks, nVidia, Physics, Tesla C1060, Tesla C2050

December 16, 2012 by hgpu

Accuracy, Memory, and Speed Strategies in GPU-Based Finite-Element Matrix-Generation

Adam Dziekonski, Piotr Sypek, Adam Lamecki, Michal Mrozowski

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Tags: CUDA, Electrodynamics, FEM, Finite element method, nVidia, Optimization, Tesla C2075

December 16, 2012 by hgpu

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Shoaib Ashraf Kamil

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 16, 2012 by hgpu

Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Amik Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

December 16, 2012 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

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high performance computing on graphics processing units: hgpu.org

Applications

Parallelisation of Shallow Water Simulation for Heterogeneous Architectures

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

Improved FCM algorithm for Clustering on Web Usage Mining

Implementation of 3D FFTs Across Multiple GPUs in Shared Memory Environments

Theoretical and Numerical Analysis of Three Approaches to the GPGPU Application of the Explicit FDTD Method

Accelerating Haskell Array Codes with Algorithmic Skeletons on GPUs

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Database Operation Development on the GPU

Acceleration of multivariate analysis techniques in TMVA using GPUs

Accuracy, Memory, and Speed Strategies in GPU-Based Finite-Element Matrix-Generation

Productive High Performance Parallel Programming with Auto-tuned Domain-Specific Embedded Languages

Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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