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On GPU’s viability as a middleware accelerator

Samer A. Kiswany, Abdullah Gharaibeh, Elizeu S. Neto, Matei Ripeanu

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Package, Storage system

October 27, 2010 by hgpu

Lattice Boltzmann based PDE solver on the GPU

Ye Zhao

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Tags: Computer science, CUDA, Fluid dynamics, Laplace and Poisson equation, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 by hgpu

A Scalable graph-cut algorithm for N-D grids

Andrew Delong, Yuri Boykov

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Tags: Computer science, Computer vision

October 27, 2010 by hgpu

Implementing an Interior Point Method for Linear Programs on a CPU-GPU System

Jin H. Jung, Dianne P. OLeary

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Tags: Computer science, Linear Algebra, nVidia, nVidia GeForce 7800 GTX

October 27, 2010 by hgpu

Performance evaluation of H.264/AVC decoding and visualization using the GPU

Bart Pieters, Dieter Van Rijsselbergen, Wesley De Neve, Rik Van de Walle

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Tags: Computer science, CUDA, H.264/AVC, Motion compensation, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 by hgpu

Fast k Nearest Neighbor Search using GPU

Vincent Garcia, Eric Debreuve, Michel Barlaud

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GTX

October 27, 2010 by hgpu

Sequence alignment with GPU: Performance and design challenges

Gregory M. Striemer, Ali Akoglu

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Tags: Bioinformatics, Biology, Computational biology, Computer science, CUDA, nVidia, Package, Sequence alignment, Smith-Waterman algorithm, Tesla C870

October 27, 2010 by hgpu

GPU-Quicksort: A practical Quicksort algorithm for graphics processors

Daniel Cederman, Philippas Tsigas

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Package, Sorting

October 27, 2010 by hgpu

GPU accelerated pathfinding

Avi Bleiweiss

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, Presentation, Search strategies

October 27, 2010 by hgpu

Mass-spring systems on the GPU

Joachim Georgii, Rudiger Westermann

Tags: Computer science, Mass-spring systems, Physics-based simulation, Rendering

October 27, 2010 by hgpu

Fast parallel GPU-sorting using a hybrid algorithm

E. Sintorn, U. Assarsson

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Tags: Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce 8800 GTX, Sorting

October 27, 2010 by hgpu

GPU-based spatial interaction force simulation

Chris Truszkowski, Benjamin Bishop

Tags: Computer science

October 27, 2010 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

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high performance computing on graphics processing units: hgpu.org

Applications

On GPU’s viability as a middleware accelerator

Lattice Boltzmann based PDE solver on the GPU

A Scalable graph-cut algorithm for N-D grids

Implementing an Interior Point Method for Linear Programs on a CPU-GPU System

Performance evaluation of H.264/AVC decoding and visualization using the GPU

Fast k Nearest Neighbor Search using GPU

Sequence alignment with GPU: Performance and design challenges

GPU-Quicksort: A practical Quicksort algorithm for graphics processors

GPU accelerated pathfinding

Mass-spring systems on the GPU

Fast parallel GPU-sorting using a hybrid algorithm

GPU-based spatial interaction force simulation

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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