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Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Rene Hussong, Barbara Gregorius, Andreas Tholey, Andreas Hildebrandt

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C870

November 28, 2010 by hgpu

Scattering Points in Parallel Coordinates

Xiaoru Yuan, Peihong Guo, He Xiao, Hong Zhou, Huamin Qu

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Tags: Computer science, CUDA, Multidimensional scaling, nVidia, Tesla C870, Visualization

November 28, 2010 by hgpu

Exploring Reconfigurable Architectures for Tree-Based Option Pricing Models

Qiwei Jin, David B. Thomas, Wayne Luk, Benjamin Cope

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Tags: CUDA, Finance, FPGA, nVidia, nVidia GeForce 7900 GTX

November 28, 2010 by hgpu

42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

Tsuyoshi Hamada, Tetsu Narumi, Rio Yokota, Kenji Yasuoka, Keigo Nitadori, Makoto Taiji

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Tags: Astrophysics, CUDA, Fast multipole method, N-body simulation, nVidia, nVidia GeForce 8800 GTS, Performance

November 28, 2010 by hgpu

On the efficiency of iterative ordered subset reconstruction algorithms for acceleration on GPUs

Fang Xu, Wei Xu, Mel Jones, Bettina Keszthelyi, John Sedat, David Agard, Klaus Mueller

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Tags: Cg, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTX

November 28, 2010 by hgpu

Parallel LDPC Decoding on GPUs Using a Stream-Based Computing Approach

Gabriel Falcao, Shinichi Yamagiwa, Vitor Silva, Leonel Sousa

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Tags: Algorithms, Computer science, Error recovery, nVidia, nVidia GeForce 8800 GTX, Shaders

November 28, 2010 by hgpu

Complexity effective memory access scheduling for many-core accelerator architectures

George L. Yuan, Ali Bakhoda, Tor M. Aamodt

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Tags: Architecture, Computer science, CUDA, Hardware, Memory, nVidia

November 28, 2010 by hgpu

A Massively Parallel Architecture for Bioinformatics

Gerd Pfeiffer, Stefan Baumgart, Jan Schroder, Manfred Schimmler

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Tags: Algorithms, Bioinformatics, Biology, FPGA, MapReduce

November 27, 2010 by hgpu

Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA

Haixiang Shi, B. Schmidt, Weiguo Liu, W. Muller-Wittig

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Tags: Algorithms, Computer science, CUDA, Error recovery, nVidia, nVidia GeForce GTX 280

November 27, 2010 by hgpu

Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 280, Sequence alignment, Smith-Waterman algorithm

November 27, 2010 by hgpu

Towards Accelerated Computation of Atmospheric Equations Using CUDA

Vaclav Simek, Radim Dvorak, Frantisek Zboril, Jiri Kunovsky

Tags: CUDA, Earth and Space Sciences, nVidia, Partial differential equations, PDEs

November 27, 2010 by hgpu

Boids that see: Using self-occlusion for simulating large groups on GPUs

Alessandro R. Da Silva, Wallace S. Lages, Luiz Chaimowicz

Tags: Artificial intelligence, Computer science, CUDA, Games, nVidia

November 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

Programming

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Scattering Points in Parallel Coordinates

Exploring Reconfigurable Architectures for Tree-Based Option Pricing Models

42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

On the efficiency of iterative ordered subset reconstruction algorithms for acceleration on GPUs

Parallel LDPC Decoding on GPUs Using a Stream-Based Computing Approach

Complexity effective memory access scheduling for many-core accelerator architectures

A Massively Parallel Architecture for Bioinformatics

Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA

Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA

Towards Accelerated Computation of Atmospheric Equations Using CUDA

Boids that see: Using self-occlusion for simulating large groups on GPUs

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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