high performance computing on graphics processing units: hgpu.org

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Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

George Ungureanu

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Heterogeneous systems, Image processing, nVidia, Thesis

September 25, 2013 by hgpu

Parallel multi-agent path planning in dynamic environments for real-time applications

Alexander Dooms

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Path problems, Thesis

September 24, 2013 by hgpu

Improving Resource Utilization in Heterogeneous CPU-GPU Systems

Michael Boyer

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Biology, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL, Package, Software Engineering, Thesis

September 23, 2013 by hgpu

A streaming model for nested data parallelism

Frederik M. Madsen

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, Thesis

September 21, 2013 by hgpu

GPU Accelerated Parameter Estimation by Global Optimization using Interval Analysis

Mads B. Eriksen, Soren Rasmussen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, nVidia GeForce GTX 580, nVidia GeForce GTX Titan, Thesis

September 21, 2013 by hgpu

gNek: A GPU Accelerated Incompressible Navier Stokes Solver

Nichole Stilwell

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Tags: Fluid dynamics, OpenCL, Spectral elements, Thesis

September 20, 2013 by hgpu

Sparse Matrix Algorithms Using GPGPU

Kaupo Kuresson

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, nVidia, OpenCL, Package, Sparse matrix, Tesla S1070, Tesla T10, Thesis

September 18, 2013 by hgpu

Parallel Computing Methods For Particle Accelerator Design

Diana Andreea Popescu

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, nVidia Quadro K 2000, OpenMP, Package, Physics, Tesla K20, Thesis

September 17, 2013 by hgpu

Expressed Sequence Tag Clustering using Commercial Gaming Hardware

Charl van Deventer, Willem A. Clarke, Scott Hazelhurst

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Tags: Algorithms, Bioinformatics, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Package, Thesis

September 15, 2013 by hgpu

Simulation and modeling of physical broadcasts

Ahmed Ahmed

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Tags: Cellular automata, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 680, Thesis

September 13, 2013 by hgpu

Neptune: An astrophysical smooth particle hydrodynamics code for massively parallel computer architectures

Prashanth Jaikumar

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Tags: Astrophysics, Gravitation, OpenCL, Thesis

September 13, 2013 by hgpu

Iterative and Predictive Ray-Traced Collision Detection for Multi-GPU Architectures

Francois Lehericey

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Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 660, OpenCL, Raytracing, Thesis

September 11, 2013 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

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

Parallel multi-agent path planning in dynamic environments for real-time applications

Improving Resource Utilization in Heterogeneous CPU-GPU Systems

A streaming model for nested data parallelism

GPU Accelerated Parameter Estimation by Global Optimization using Interval Analysis

gNek: A GPU Accelerated Incompressible Navier Stokes Solver

Sparse Matrix Algorithms Using GPGPU

Parallel Computing Methods For Particle Accelerator Design

Expressed Sequence Tag Clustering using Commercial Gaming Hardware

Simulation and modeling of physical broadcasts

Neptune: An astrophysical smooth particle hydrodynamics code for massively parallel computer architectures

Iterative and Predictive Ray-Traced Collision Detection for Multi-GPU Architectures

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

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