high performance computing on graphics processing units: hgpu.org

hgpu.org » Applications

Automatic Parallelization of Tiled Stencil Loop Nests on GPUs

Peng Di

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Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, Performance, Tesla C1060, Tesla C2050, Thesis

July 30, 2014 by hgpu

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Bryan Ching

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Tags: Algorithms, Compression, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX Titan, Tesla K40, Thesis

July 29, 2014 by hgpu

Implicit Methods for Real-Time simulation of Interactive Waves

Akash Mittal

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 780, Thesis, Visualization

July 29, 2014 by hgpu

Computational investigation of intense short-wavelength laser interaction with rare gas clusters

Nicolas Bigaouette

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Tags: nVidia, OpenCL, Physics, Quantum Physics, Tesla M2075, Thesis

July 28, 2014 by hgpu

Bayesian model comparison via sequential Monte Carlo

Yan Zhou

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Source codes

Tags: Algorithms, Bayesian, Mathematics, nVidia, nVidia Quadro 2000, OpenCL, Package, Statistics, Thesis

July 28, 2014 by hgpu

Understanding the ISA impact on GPU Architecture

Mayank Vinodbhai Kothiya

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Tags: Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia, PTX, Tesla, Thesis

July 28, 2014 by hgpu

Agent-based crowd simulation using GPU computing

Sean Patrick O'Reilly

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Rendering, Thesis

July 28, 2014 by hgpu

Towards fast and certified multiple-precision libraries

Valentina Popescu

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Tags: Algorithms, Computer science, CUDA, Extended precision, nVidia, Tesla C2075, Thesis

July 26, 2014 by hgpu

ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing

Scott Kenneth Winkleblack

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Tags: Computer science, CUDA, Genetic programming, Heterogeneous systems, nVidia, Tesla K20, Tesla K40, Thesis

July 26, 2014 by hgpu

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

Istvan Zoltan Reguly

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Tags: Algorithms, Code generation, Computer science, CUDA, Differential equations, FEM, Finite element method, Finite volume method, Fluid dynamics, Heterogeneous systems, Linear Algebra, nVidia, Partial differential equations, PDEs, Programming techniques, Tesla C2070, Tesla K20, Tesla K40, Thesis

July 24, 2014 by hgpu

A Study on GPU Computing and Accelerating Simulation of Sedimentary Rock Structure

Koushik Mandal

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla C2075, Thesis

July 23, 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

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

Theses

Automatic Parallelization of Tiled Stencil Loop Nests on GPUs

Optimizing Lempel-Ziv Factorization for the GPU Architecture

Implicit Methods for Real-Time simulation of Interactive Waves

Computational investigation of intense short-wavelength laser interaction with rare gas clusters

Bayesian model comparison via sequential Monte Carlo

Understanding the ISA impact on GPU Architecture

Agent-based crowd simulation using GPU computing

Towards fast and certified multiple-precision libraries

ReGen: Optimizing Genetic Selection Algorithms for Heterogeneous Computing

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

A Study on GPU Computing and Accelerating Simulation of Sedimentary Rock Structure

A Multi-GPU Compute Solution for Optimized Genomic Selection Analysis

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)