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Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

Dounia Khaldi, Pierre Jouvelot, Corinne Ancourt, Francois Irigoin

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Tags: Computer science, Data parallelism, Memory model, OpenCL, OpenMP, Overview

October 23, 2012 by hgpu

Techniques for designing GPGPU games

Mark Joselli, Jose Ricardo da Silva Junior, Marcelo Zamith, Esteban Clua, Mateus Pelegrino, Evandro Mendonca, Eduardo Soluri

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Tags: Artificial intelligence, Computer science, CUDA, Game physics, nVidia, nVidia GeForce 8200 M

October 23, 2012 by hgpu

GPUSync: A Framework for Real-Time GPU Management

Glenn A. Elliott, Bryan C. Ward, James H. Anderson

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Source codes

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470, Package, Performance

October 23, 2012 by hgpu

An Approach for Traffic Forecast with GPU Computing & Cellular Automata Model

Marcelo Zamith, Mark Joselli, Jose Ricardo Silva Junior, Regina Celia P. Leal-Toledo, Esteban Clua, Eduardo Soluri

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Tags: Cellular automata, Computer science, CUDA, nVidia, Vehicular traffic

October 23, 2012 by hgpu

A (ir)regularity-aware task scheduler for heterogeneous platforms

Artur Mariano, Ricardo Alves, Joao Barbosa, Luis Paulo Santos, Alberto Proenca

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Task scheduling

October 22, 2012 by hgpu

Hybrid MPI/GPU Interpolation for Grid DEM Construction

Andrew Danner, Jake Baskin, Alexander Breslow, David Wilikofsky

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Tags: Computer science, CUDA, MPI, Nearest neighbour, nVidia, Performance, Sensing, Tesla M2070

October 22, 2012 by hgpu

Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Mehdi Goli, Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla M2090

October 22, 2012 by hgpu

MR-API: A Comprehensive API Framework for Heterogeneous Multi-core Systems using Map Reduce Programming Model

Prashanth Thinakaran, Srinivas Avireddy, Prasanna Ranganathan, Sumalatha Ramachandran

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Tags: Benchmarking, Cloud, Computer science, Heterogeneous systems, MapReduce, nVidia, nVidia GeForce GTX 275

October 22, 2012 by hgpu

Ray Tracing of Volumetric Data in Real Time

Adam Kull

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 9600, nVidia GeForce GTX 295, OpenCL, Raytracing, Rendering, Thesis

October 20, 2012 by hgpu

Hierarchical Exploration of Volumes Using Multilevel Segmentation of the Intensity-Gradient Histograms

Cheuk Yiu Ip

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Visualization

October 20, 2012 by hgpu

Empirical analysis of a parallel data mining algorithm on a graphic processor

Davide Berdin

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Tags: Computer science, CUDA, Data mining, Data parallelism, nVidia, nVidia GeForce GTX 580, Thesis

October 20, 2012 by hgpu

Research on DSP-GPU Heterogeneous Computing System

Xiangzhen Li, Jingying Hu, Weiguo Lv, Guiqiang Wang, Xinrong Cai

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Tags: ATI, ATI Radeon HD 6760, Computer science, DSP, Heterogeneous systems, OpenCL, Particle swarm optimization, Task scheduling

October 20, 2012 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

BoltzGen:Toward Universal Binder Design

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

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

Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

Techniques for designing GPGPU games

GPUSync: A Framework for Real-Time GPU Management

An Approach for Traffic Forecast with GPU Computing & Cellular Automata Model

A (ir)regularity-aware task scheduler for heterogeneous platforms

Hybrid MPI/GPU Interpolation for Grid DEM Construction

Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Ray Tracing of Volumetric Data in Real Time

Hierarchical Exploration of Volumes Using Multilevel Segmentation of the Intensity-Gradient Histograms

Empirical analysis of a parallel data mining algorithm on a graphic processor

Research on DSP-GPU Heterogeneous Computing System

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

BoltzGen:Toward Universal Binder Design

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

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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