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Parallel For Loops on Heterogeneous Resources

Frederick Edward Weber

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Thesis

May 1, 2013 by hgpu

H. 264 Parallel Optimization on Graphics Processors

Elias Baaklini, Hassan Sbeity, Smail Niar

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Compression, Computational Complexity, H.264/AVC, Image processing, OpenCL

April 27, 2013 by hgpu

Parallel Computing for Accelerated Texture Classification with Local Binary Pattern Descriptors using OpenCL

CYN Dwith, Rathna.G.N

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Tags: Algorithms, ATI, Computer science, Heterogeneous systems, OpenCL, Pattern recognition

April 23, 2013 by hgpu

Valar: A Benchmark Suite to Study the Dynamic Behavior of Heterogeneous Systems

Perhaad Mistry, Yash Ukidave, Dana Schaa, David Kaeli

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Tags: APU, ATI, ATI Radeon HD 7850, ATI Radeon HD 7970, Benchmarking, Computer science, Computer vision, Heterogeneous systems, OpenCL, Performance

April 22, 2013 by hgpu

Computer Simulation of Saturn’s Ring Structure

Cole Kendrick

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Tags: Astrophysics, ATI, ATI Radeon HD 5850, Gravitation, MPI, N-body simulation, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Tesla S2050

April 21, 2013 by hgpu

One OpenCL to Rule Them All?

Romain Dolbeau, Francois Bodin, Guillaume Colin de Verdiere

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Tags: ATI, ATI Radeon HD 7970, Computer science, Intel, Intel Phi, nVidia, OpenACC, OpenCL, Performance, Portability, Tesla K20

April 21, 2013 by hgpu

An Automatic Input-Sensitive Approach for Heterogeneous Task Partitioning

Klaus Kofler, Ivan Grasso, Biagio Cosenza, Thomas Fahringer

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Tags: ATI, ATI Radeon HD 5870, Code generation, Compilers, Computer science, Heterogeneous systems, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Task scheduling

April 21, 2013 by hgpu

A Framework for Profiling and Performance Monitoring of Heterogeneous Applications

Perhaad Mistry, Yash Ukidave, Dana Schaa, David Kaeli

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6550, Computer science, Computer vision, Heterogeneous systems, OpenCL, Performance, Signal processing

April 17, 2013 by hgpu

A Performance Comparison of Different Graphics Processing Units Running Direct N-Body Simulations

R. Capuzzo-Dolcettaa, M. Spera

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Tags: Astrophysics, ATI, ATI Radeon HD 6970, ATI Radeon HD 7870, ATI Radeon HD 7970, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package, Tesla C1060, Tesla C2050, Tesla K20

April 9, 2013 by hgpu

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Michael Boyer, Kevin Skadron, Shuai Che, Nuwan Jayasena

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Tags: ATI, ATI Radeon HD 6550, ATI Radeon HD 6670, Computer science, Heterogeneous systems, OpenCL, Performance, Task scheduling

April 8, 2013 by hgpu

Adapting Particle Filter Algorithms to Many-Core Architectures

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: Algorithms, ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, Bayesian, Computer science, Computer vision, CUDA, Filtering, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package, Particle filtering

April 4, 2013 by hgpu

OpenCL parallel Processing using General Purpose Graphical Processing units – TiViPE software development

Tino Lourens

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Tags: ATI, ATI Radeon HD 6310, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 560, OpenCL

April 1, 2013 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

Parallel For Loops on Heterogeneous Resources

H. 264 Parallel Optimization on Graphics Processors

Parallel Computing for Accelerated Texture Classification with Local Binary Pattern Descriptors using OpenCL

Valar: A Benchmark Suite to Study the Dynamic Behavior of Heterogeneous Systems

Computer Simulation of Saturn’s Ring Structure

One OpenCL to Rule Them All?

An Automatic Input-Sensitive Approach for Heterogeneous Task Partitioning

A Framework for Profiling and Performance Monitoring of Heterogeneous Applications

A Performance Comparison of Different Graphics Processing Units Running Direct N-Body Simulations

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Adapting Particle Filter Algorithms to Many-Core Architectures

OpenCL parallel Processing using General Purpose Graphical Processing units – TiViPE software development

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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