high performance computing on graphics processing units: hgpu.org

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Algorithms for representation of 3D regions in radiotherapy planning software

Jonny Gunnarsson

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Tags: Computer science, CUDA, Distance transform, nVidia, nVidia GeForce GTX 470, Radiotherapy, Review, Thesis

May 3, 2013 by hgpu

Data-rich astronomy: mining synoptic sky surveys

Stefano Cavuoti

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GT 540 M, Thesis

May 3, 2013 by hgpu

A framework for data-access strategies in GPGPU programs

L.F.C.C. Mallens

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 640, nVidia GeForce GTS 250, OpenACC, Thesis

May 2, 2013 by hgpu

GPU Acceleration of the Variational Monte Carlo Method for Many Body Physics

Rajagopalan Kaushik Ragavan

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Tags: CUDA, Data parallelism, Heterogeneous systems, Monte Carlo simulation, MPI, nVidia, Physics, Tesla M2070, Thesis

May 1, 2013 by hgpu

Parallel For Loops on Heterogeneous Resources

Frederick Edward Weber

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Thesis

May 1, 2013 by hgpu

Automatic Compilation for Heterogeneous Architectures with Single Assignment C

Miguel Sousa Diogo

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Thesis

April 30, 2013 by hgpu

Multigrid Optimization Methods for High Performance Computing

Christian Wagner

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Optimization, Thesis

April 29, 2013 by hgpu

Modeling and Optimization of Parallel Matrix-based Computations on GPU

Andrew White

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Tesla S1070, Thesis

April 27, 2013 by hgpu

Accelerating Population Balance Model-based particulate process simulations via parallel computing

Anuj Varghese Prakash

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Tags: Biochemistry, Chemistry, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Thesis

April 26, 2013 by hgpu

Modeling the spatio-temporal evolution of fracture networks and fluid-rock interactions in GPU: Applications to lithospheric geodynamics

Boris Galvan

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Tags: CUDA, Diffusion equation, Earth and Space Sciences, Finite difference, Geoscience, nVidia, nVidia GeForce GTX 590, Thesis

April 25, 2013 by hgpu

Directive-based Approach to Heterogeneous Computing

Ruyman Reyes Castro

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenACC, OpenCL, Package, Python, Tesla C1060, Thesis

April 25, 2013 by hgpu

A General-Purpose GPU Reservoir Computer

Tureiti Keith

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480, Thesis

April 22, 2013 by hgpu

Can Large Language Models Predict Parallel Code Performance?

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

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

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

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high performance computing on graphics processing units: hgpu.org

Algorithms for representation of 3D regions in radiotherapy planning software

Data-rich astronomy: mining synoptic sky surveys

A framework for data-access strategies in GPGPU programs

GPU Acceleration of the Variational Monte Carlo Method for Many Body Physics

Parallel For Loops on Heterogeneous Resources

Automatic Compilation for Heterogeneous Architectures with Single Assignment C

Multigrid Optimization Methods for High Performance Computing

Modeling and Optimization of Parallel Matrix-based Computations on GPU

Accelerating Population Balance Model-based particulate process simulations via parallel computing

Modeling the spatio-temporal evolution of fracture networks and fluid-rock interactions in GPU: Applications to lithospheric geodynamics

Directive-based Approach to Heterogeneous Computing

A General-Purpose GPU Reservoir Computer

Recent source codes

Can Large Language Models Predict Parallel Code Performance?

CFAL-bench

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

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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