high performance computing on graphics processing units: hgpu.org

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High Performance Algorithms to Improve the Runtime Computation of Spacecraft Trajectories

Nitin Arora

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, Tesla C1060, Tesla M2090, Thesis

August 29, 2013 by hgpu

Throughput-Oriented Analytical Models for Performance Estimation on Programmable Hardware Accelerators

Junjie Lai

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Tags: Analytical model, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Thesis

August 28, 2013 by hgpu

Audiovisual Voice Activity Detection and Localization of Simultaneous Speech Sources

Vicente Peruffo Minotto

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Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 570, Speech recognition, Thesis

August 28, 2013 by hgpu

Dynamic Load Balancing on Massively Parallel Computer Architectures

Florian Wende

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Tags: Computer science, CUDA, Intel Phi, nVidia, Performance, Raytracing, Tesla M2090, Thesis

August 28, 2013 by hgpu

Compilation techniques and language support to facilitate dependence-driven computation

Albert Sidelnik

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Thesis

August 27, 2013 by hgpu

Lattice Boltzmann Simulations of Multiphase Flows

Jeremy Aaron Kolker Horwitz

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Physics, Poisson equation, Tesla C1060, Thesis

August 26, 2013 by hgpu

Analysis-Driven Design of Parallel Floating-Point Matrix Multiplication for Implementation in Reconfigurable Logic

Ahmad Khayyat

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Tags: Computer science, FPGA, Matrix multiplication, Thesis

August 24, 2013 by hgpu

Estimation of Skin Optical Parameters for Real-Time Hyperspectral Imaging Applications using GPGPU Parallel Computing

Asgeir Bjorgan

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Tags: Algorithms, CUDA, Image processing, Monte Carlo simulation, nVidia, nVidia Quadro FX 3700 M, OpenCV, Optics, Package, Physics, Thesis, Visualization

August 23, 2013 by hgpu

PARIS: A Parallel RSA-Prime Inspection Tool

Joseph White

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, RSA, Security, Tesla K20, Thesis

August 19, 2013 by hgpu

Algorithms for Compression on GPUs

Anders L. V. Nicolaisen

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GT 620 M, Thesis

August 19, 2013 by hgpu

Transfer Time Reduction of Data Transfers between CPU and GPU

Julius Sandgren

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Tags: ATI, ATI Radeon HD 3650, Computer science, CUDA, nVidia, nVidia Quadro FX 370, OpenCL, Performance, Thesis

August 19, 2013 by hgpu

Formal specification and verification of OpenCL Kernel optimization

Jeroen Vonk

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Tags: Computer science, nVidia, OpenCL, Optimization, Tesla S2050, Thesis

August 17, 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

High Performance Algorithms to Improve the Runtime Computation of Spacecraft Trajectories

Throughput-Oriented Analytical Models for Performance Estimation on Programmable Hardware Accelerators

Audiovisual Voice Activity Detection and Localization of Simultaneous Speech Sources

Dynamic Load Balancing on Massively Parallel Computer Architectures

Compilation techniques and language support to facilitate dependence-driven computation

Lattice Boltzmann Simulations of Multiphase Flows

Analysis-Driven Design of Parallel Floating-Point Matrix Multiplication for Implementation in Reconfigurable Logic

Estimation of Skin Optical Parameters for Real-Time Hyperspectral Imaging Applications using GPGPU Parallel Computing

PARIS: A Parallel RSA-Prime Inspection Tool

Algorithms for Compression on GPUs

Transfer Time Reduction of Data Transfers between CPU and GPU

Formal specification and verification of OpenCL Kernel optimization

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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