high performance computing on graphics processing units: hgpu.org

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Utilizing Graphics Processing Units for Rapid Facial Recognition Using Video Input

Charles J. Gala

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Pattern recognition, Tesla C2050, Thesis

June 3, 2014 by hgpu

Integrated Modelling of Hydrodynamic Processes, Faecal Indicator Organisms and Related Parameters with Improved Accuracy using Parallel (GPU) Computing

Brian Adjetey Boye

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 590, Tesla K10, Tesla K20, Thesis

June 2, 2014 by hgpu

GPU Ray Tracing with CUDA

Tom A. Pitkin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Raytracing, Rendering, Thesis

May 31, 2014 by hgpu

Parallel SAT solvers and their application in automatic parallelization

Jaime Kirch da Silveira

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, SAT, Thesis

May 31, 2014 by hgpu

Fast parallel volume visualization on CUDA technology

Adeshina Adekunle Micheal

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Tags: Computer science, CUDA, nVidia, Thesis, Visualization

May 31, 2014 by hgpu

Parallel Computation of Functions on Set Partitions

Chetan Rokhade

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, Thesis

May 25, 2014 by hgpu

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

Roger Viet Hoang

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 570, Performance, Tesla C2050, Thesis, Virtual reality

May 23, 2014 by hgpu

A Comparison of Massively Parallel Programming Models Through Applications in Sound Propagation and Jitter Measurement

Torbjorn Panton Loken

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Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenGL, Thesis, Thrust

May 23, 2014 by hgpu

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

David Klemish

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Particle filtering, Programming techniques, Thesis, Thrust

May 21, 2014 by hgpu

Exploiting Parallelism in GPUs

Blake Alan Hechtman

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Thesis

May 20, 2014 by hgpu

Paralleizing AwSpPCA for robust facial recognition using CUDA

Syed Amer Zawad

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GTX 660, nVidia GeForce GTX 780, Thesis

May 18, 2014 by hgpu

Parallel Optical Flow Detection Using CUDA

Khalid Hossen, Hasan Mahmud

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 660, nVidia GeForce GTX 780, Optical flow, Thesis

May 18, 2014 by hgpu

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

See all packages

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high performance computing on graphics processing units: hgpu.org

Utilizing Graphics Processing Units for Rapid Facial Recognition Using Video Input

Integrated Modelling of Hydrodynamic Processes, Faecal Indicator Organisms and Related Parameters with Improved Accuracy using Parallel (GPU) Computing

GPU Ray Tracing with CUDA

Parallel SAT solvers and their application in automatic parallelization

Fast parallel volume visualization on CUDA technology

Parallel Computation of Functions on Set Partitions

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

A Comparison of Massively Parallel Programming Models Through Applications in Sound Propagation and Jitter Measurement

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

Exploiting Parallelism in GPUs

Paralleizing AwSpPCA for robust facial recognition using CUDA

Parallel Optical Flow Detection Using CUDA

Recent source codes

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Most viewed papers (last 30 days)