high performance computing on graphics processing units: hgpu.org

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Accelerator weather forecasting

Angus Lepper

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Tags: Earth and Space Sciences, Fluid simulation, nVidia, OpenACC, Tesla K20, Thesis, Weather prediction

December 31, 2015 by hgpu

Accelerating Fluids Simulation Using SPH and Implementation on GPU

Aditya Hendra

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Tags: cfd, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 980, Thesis

December 31, 2015 by hgpu

On the Development and Implementation of High-Order Flux Reconstruction Schemes for Computational Fluid Dynamics

Freddie David Witherden

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Tags: AMD FirePro W9100, ATI, CUDA, Finite difference, Fluid dynamics, Heterogeneous systems, MPI, nVidia, OpenCL, Package, Python, Tesla K40, Thesis

December 23, 2015 by hgpu

Real time mitigation of atmospheric turbulence in long distance imaging using the lucky region fusion algorithm with FPGA and GPU hardware acceleration

Christopher Robert Jackson

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Tags: Algorithms, Earth and Space Sciences, FPGA, Image processing, nVidia, nVidia GeForce GTX 690, OpenCL, Thesis

December 23, 2015 by hgpu

Study, Modelling and Implementation of the Level Set Method Used in Micromachining Processes

Carles Montoliu Alvaro

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 560, nVidia GeForce GTX Titan, Thesis

December 19, 2015 by hgpu

Investigation of the SYCL for OpenCL Programming Model

Tim Beattie

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Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, OpenCL, Performance, Thesis

December 19, 2015 by hgpu

Challenges Adapting CUDA PIC Codes to multiple GPUs

Olav Emil Eiksund

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Tags: Benchmarking, CUDA, Electrostatics, FFT, nVidia, nVidia GeForce GTX 980, OpenMP, Particle simulation, Particle-in-cell methods, Physics, Plasma physics, Tesla K20, Thesis

December 19, 2015 by hgpu

Efficient Query Processing in Co-Processor-accelerated Databases

Sebastian Bress

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Tags: Computer science, CUDA, Databases, Heterogeneous systems, nVidia, nVidia GeForce GT 640, Package, Tesla C1060, Tesla C2050, Thesis

December 19, 2015 by hgpu

Run-time support for multi-level disjoint memory address spaces

Javier Bueno Hedo

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Tags: Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, OmpSs, OpenMP, Thesis

December 15, 2015 by hgpu

Transforming C OpenMP Programs for Verification in CIVL

Michael Rogers

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Tags: Computer science, CUDA, MPI, nVidia, OpenCL, OpenMP, Pthreads, Thesis

December 10, 2015 by hgpu

High Performance Histograms on SIMT and SIMD Architectures

M.E.R. Berger

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Tags: AMD Radeon R9 290X, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, nVidia GeForce GTX 660, nVidia GeForce GTX 750, OpenCL, Performance, Thesis

December 10, 2015 by hgpu

A Study of Parallel Sorting Algorithms Using CUDA and OpenMP

Hakan Gokahmetoglu

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 850 M, OpenMP, Sorting, Thesis

December 6, 2015 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

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

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

Accelerator weather forecasting

Accelerating Fluids Simulation Using SPH and Implementation on GPU

On the Development and Implementation of High-Order Flux Reconstruction Schemes for Computational Fluid Dynamics

Real time mitigation of atmospheric turbulence in long distance imaging using the lucky region fusion algorithm with FPGA and GPU hardware acceleration

Study, Modelling and Implementation of the Level Set Method Used in Micromachining Processes

Investigation of the SYCL for OpenCL Programming Model

Challenges Adapting CUDA PIC Codes to multiple GPUs

Efficient Query Processing in Co-Processor-accelerated Databases

Run-time support for multi-level disjoint memory address spaces

Transforming C OpenMP Programs for Verification in CIVL

High Performance Histograms on SIMT and SIMD Architectures

A Study of Parallel Sorting Algorithms Using CUDA and OpenMP

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

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

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

Most viewed papers (last 30 days)