high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Heterogeneous computing with an algorithmic skeleton framework

Fabio Miguel Cardoso Soldado

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, OpenCL, Programming techniques, Thesis

October 20, 2014 by hgpu

Fast-Fourier-Transform-Based Electrical Noise Measurements

Alexander Schade

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Tags: Data acquisition, nVidia, nVidia GeForce GTX 680, OpenCL, Signal processing, Thesis

October 20, 2014 by hgpu

StreamWorks: An Energy-efficient Embedded Co-processor for Stream Computing

Amrit Panda

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Tags: Computer science, CUDA, nVidia, Tesla K20, Thesis, Virtualization

October 18, 2014 by hgpu

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

Ilker Gurcan

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Tags: CUDA, Image processing, nVidia, Security, Tesla K40, Thesis, Video tracking

October 18, 2014 by hgpu

The Distribution of OpenCL Kernel Execution Across Multiple Devices

Steven Gurfinkel

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Tags: Computer science, nVidia, OpenCL, Tesla M2090, Thesis

October 16, 2014 by hgpu

OpenCL Implementation of Montgomery Multiplication on FPGA

Mehmet Ufuk Buyuksahin

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Tags: Algorithms, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GT 435 M, nVidia GeForce GT 630, nVidia GeForce GTX 780, OpenCL, Security, Thesis

October 16, 2014 by hgpu

Scalable approximate k-NN in multidimensional big data

Hisham Mohamed

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Tags: Algorithms, Computer science, CUDA, Data mining, Data Structures and Algorithms, Information Retrieval, Machine learning, MapReduce, MPI, Nearest neighbour, nVidia, nVidia Quadro NVS 5200 M, Thesis, Visualization

October 13, 2014 by hgpu

Mapping dynamic programming algorithms on graphics processing units

Muhammad Kashif Hanif

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Thesis

October 11, 2014 by hgpu

Performance Improvement of Multichannel Audio by Graphics Processing Units

Jose Antonio Belloch Rodriguez

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Tags: Acoustics, Algorithms, Computer science, CUDA, Databases, Filtering, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 590, nVidia GeForce GTX 690, nVidia Quadro FX 5800, OpenCL, Rendering, Signal processing, Tesla C2070, Tesla K20, Thesis

October 11, 2014 by hgpu

FDTD on Distributed Heterogeneous Multi-GPU Systems

Eirik Myklebost

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Tags: Algorithms, Benchmarking, Cluster computing, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 760, Physics, Tesla K20, Thesis, Ultrasound

October 10, 2014 by hgpu

GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Alaettin Zubaroglu

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Tags: CUDA, nVidia, Raytracing, Signal processing, Tesla C2075, Tesla K20, Thesis

October 4, 2014 by hgpu

Harnessing GPU Computing in System-Level Software

Weibin Sun

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Security, Storage system, Thesis

September 30, 2014 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Theses

Heterogeneous computing with an algorithmic skeleton framework

Fast-Fourier-Transform-Based Electrical Noise Measurements

StreamWorks: An Energy-efficient Embedded Co-processor for Stream Computing

Hybrid CPU-GPU Implementation of Tracking-Learning-Detection Algorithm

The Distribution of OpenCL Kernel Execution Across Multiple Devices

OpenCL Implementation of Montgomery Multiplication on FPGA

Scalable approximate k-NN in multidimensional big data

Mapping dynamic programming algorithms on graphics processing units

Performance Improvement of Multichannel Audio by Graphics Processing Units

FDTD on Distributed Heterogeneous Multi-GPU Systems

GPU Accelerated Radio Wave Propagation Modeling Using Ray Tracing

Harnessing GPU Computing in System-Level Software

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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