high performance computing on graphics processing units: hgpu.org

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Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Thierry Gautier, Joao V. F. Lima, Nicolas Maillard, Bruno Raffin

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Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, Package, Tesla C2050

January 25, 2013 by hgpu

Vlasov on GPU (VOG Project)

M. Mehrenberger, C. Steiner, L. Marradi, N. Crouseilles, E. Sonnendrucker, B. Afeyan

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Tags: FFT, Numerical simulation, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTX 470, OpenCL, Physics, Plasma physics, Tesla C2070

January 25, 2013 by hgpu

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

Weihua Geng, Ferosh Jacob

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Tags: Biomolecules, CUDA, Electrostatics, Linear Algebra, Mathematics, Molecular surface, Numerical Analysis, nVidia, Poisson Boltzmann, Tesla M2070

January 25, 2013 by hgpu

High Performance Lattice Boltzmann Solvers on Massively Parallel Architectures with Applications to Building Aeraulics

Christian Obrecht

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Tags: Boltzmann equation, CUDA, Fluid dynamics, Lattice Boltzmann model, Navier-Stokes equations, NSEs, Numerical Analysis, nVidia, nVidia GeForce GTX 295, Thesis

January 24, 2013 by hgpu

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Christoph Kessler, Usman Dastgeer, Samuel Thibault, Raymond Namyst, Andrew Richards, Uwe Dolinsky, Siegfried Benkner, Jesper Larsson Traff, Sabri Pllana

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance, Tesla C1060, Tesla C2050

January 24, 2013 by hgpu

Hybrid Single/Double Precision Floating-Point Computation on GPU Accelerators for 2-D FDTD

Hasitha Muthumala Waidyasooriya, Yasuhiro Takei, Masanori Hariyama, Michitaka Kameyama

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 590

January 24, 2013 by hgpu

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

Tiago Filipe Rodrigues Ribeiro

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Tags: Cluster computing, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, OpenCL, Thesis

January 24, 2013 by hgpu

Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

In-Kyu Jeong, Min-Gee Hong, Kwang-Soo Hahn, Joonsoo Choi, Choen Kim

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Tags: CUDA, Data acquisition, Image processing, nVidia, nVidia GeForce GTX 550 Ti, Raytracing, Sensing, Visualization

January 24, 2013 by hgpu

GPU-based 3D Wavelet Transform

Vicente Galiano, Otoniel Lopez, Manuel P. Malumbres, Hector Migallon

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 280, Wavelet

January 24, 2013 by hgpu

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

Daniel Lustig, Margaret Martonosi

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

January 23, 2013 by hgpu

The effects of nutrient chemotaxis on bacterial aggregation patterns with non-linear degenerate cross diffusion

J. Francisco Leyva, Carlos Malaga, Ramon G. Plaza

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Tags: Biological Physics, Biology, CUDA, Numerical simulation, nVidia, Tesla C2070

January 23, 2013 by hgpu

A survey on various computationally intensive parallel applications in High performance Computing System with OpenCL-MPI

Tushar Mungle, Govardhan Hegde, Srikanth Prabhu, N.GopalaKrishna Kini

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Tags: Biometrics, Computer science, MPI, OpenCL, Security

January 23, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Vlasov on GPU (VOG Project)

A GPU-accelerated Direct-sum Boundary Integral Poisson-Boltzmann Solver

High Performance Lattice Boltzmann Solvers on Massively Parallel Architectures with Applications to Building Aeraulics

Programmability and Performance Portability Aspects of Heterogeneous Multi-/Manycore Systems

Hybrid Single/Double Precision Floating-Point Computation on GPU Accelerators for 2-D FDTD

Developing and Evaluating clOpenCL Applications for Heterogeneous Clusters

Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

GPU-based 3D Wavelet Transform

Reducing GPU Offload Latency via Fine-Grained CPU-GPU Synchronization

The effects of nutrient chemotaxis on bacterial aggregation patterns with non-linear degenerate cross diffusion

A survey on various computationally intensive parallel applications in High performance Computing System with OpenCL-MPI

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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