high performance computing on graphics processing units: hgpu.org

Finding Longest Common Subsequences by GPU-Based Parallel Ant Colony Optimization

David Markvica

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Tags: Algorithms, Biology, Computational biology, Computer science, Heterogeneous systems, Metaheuristics, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Optimization, Pattern recognition, Thesis

October 27, 2014 by hgpu

A Software Framework for the Detection and Classification of Biological Targets in Bio-Nano Sensing

Abdul Hafeez

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Tags: Biology, Biophysics, CUDA, Distributed computing, Filtering, nVidia, nVidia Quadro FX 580, Sensing, Thesis

September 19, 2014 by hgpu

A Multi-GPU Compute Solution for Optimized Genomic Selection Analysis

Trevor DeVore

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Tags: Bayesian, Bioinformatics, Biology, CUDA, Heterogeneous systems, nVidia, Tesla K20, Tesla K40, Thesis

July 23, 2014 by hgpu

Exploiting parallel features of modern computer architectures in bioinformatics: applications to genetics, structure comparison and large graph analysis

Guillaume Chapuis

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Genetics, Graph theory, nVidia, Path problems, Tesla C2050, Thesis

July 3, 2014 by hgpu

Exploiting parallel features of modern computer architectures in bioinformatics

Guillaume Chapuis

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Genetics, nVidia, Path problems, Tesla C2050, Tesla C2090, Thesis

December 16, 2013 by hgpu

Computational kinetics of a large scale biological process on GPU workstations: DNA bending

Arnold Peter Ruymgaart

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Tags: Biology, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Thesis

November 8, 2013 by hgpu

Enabling the use of Heterogeneous Computing for Bioinformatics

Ramakrishna Bijanapalli Chakri

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Tags: Bioinformatics, Biology, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Smith-Waterman algorithm, Thesis

October 8, 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

GPU Accelerated Pattern Matching Algorithm for DNA Sequences to Detect Cancer using CUDA

Snehal P. Adey

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Tags: Bioinformatics, Biology, CUDA, Medicine, nVidia, Tesla C2070, Thesis

August 7, 2013 by hgpu

Improved Performance of CaFE and IRIS Model Fitting Using CUDA

Dylan Jackson

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Tags: Biology, Biomolecules, CUDA, nVidia, nVidia GeForce GTX 680, Sensing, Thesis

May 31, 2013 by hgpu

Simulation of Biological Tissue using Mass-Spring-Damper Models

Emil Eriksson

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Tags: ATI, ATI Radeon HD 7970, Biology, OpenCL, Surgical simulation, Thesis, Visualization

May 6, 2013 by hgpu

GPU based Eulerian Assembly of Genomes

Syed Faraz Mahmood

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, nVidia Quadro FX 5800, Thesis

March 7, 2013 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

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high performance computing on graphics processing units: hgpu.org

Theses

Finding Longest Common Subsequences by GPU-Based Parallel Ant Colony Optimization

A Software Framework for the Detection and Classification of Biological Targets in Bio-Nano Sensing

A Multi-GPU Compute Solution for Optimized Genomic Selection Analysis

Exploiting parallel features of modern computer architectures in bioinformatics: applications to genetics, structure comparison and large graph analysis

Exploiting parallel features of modern computer architectures in bioinformatics

Computational kinetics of a large scale biological process on GPU workstations: DNA bending

Enabling the use of Heterogeneous Computing for Bioinformatics

Improving Resource Utilization in Heterogeneous CPU-GPU Systems

GPU Accelerated Pattern Matching Algorithm for DNA Sequences to Detect Cancer using CUDA

Improved Performance of CaFE and IRIS Model Fitting Using CUDA

Simulation of Biological Tissue using Mass-Spring-Damper Models

GPU based Eulerian Assembly of Genomes

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

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