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Parallel Agent systems on a GPU for use with Simulations and Games

Timothy Johnson, John Rankin

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Tags: Computer science, Games, nVidia, nVidia GeForce GT 220 M, OpenCL

June 3, 2012 by hgpu

Reservoir Simulation on NVIDIA Tesla GPUs

Zhangxin Chen, Hui Liu, Song Yu, Ben Hsieh, Lei Shao

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Tags: Computer science, nVidia, Tesla C2050, Tesla C2070

June 3, 2012 by hgpu

Towards Distributed Heterogenous High-Performance Computing with ViennaCL

Josef Weinbub, Karl Rupp, Siegfried Selberherr

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Tags: Benchmarking, Computer science, Distributed computing, MPI, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 580, OpenCL, Package, Tesla C2050

June 1, 2012 by hgpu

MPI-ACC: An Integrated and Extensible Approach to Data Movement in Accelerator-Based Systems

Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Wu-chun Feng, Keith R. Bisset, Rajeev Thakur

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Tesla C2050

June 1, 2012 by hgpu

A Data-Parallel Extension to Ruby for GPGPU

Hidehiko Masuhara, Yusuke Nishiguchi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, Package, Programming Languages

June 1, 2012 by hgpu

clSpMV: A Cross-Platform OpenCL SpMV Framework on GPUs

Bor-Yiing Su, Kurt Keutzer

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Tags: ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Sparse matrix

May 30, 2012 by hgpu

X-Device Query Processing by Bitwise Distribution

Holger Pirk, Thibault Sellam, Stefan Manegold, Martin Kersten

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480

May 30, 2012 by hgpu

COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks

Enrico Gobbetti, Jose Antonio Iglesias Guitian, Fabio Marton

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Tags: 3D Graphics and Realism, Algorithms, Compression, Computer science, Filtering, Image generation, nVidia, nVidia GeForce GTX 560, OpenGL, Rendering

May 29, 2012 by hgpu

A fight for performance and accuracy of the matrix multiplication routines: CUBLAS on Nvidia Tesla versus MKL and ATLAS on Intel Nehalem

Philippe Estival, Luc Giraud

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla T10

May 29, 2012 by hgpu

Using OpenCL to Calculate a Pressure Field

David Prairie, Cory Klokman, Leo Makowski

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Tags: Computer science, CUDA, nVidia, OpenCL

May 29, 2012 by hgpu

Massively Parallel Neural Encoding and Decoding of Visual Stimuli

Aurel A. Lazar, Yiyin Zhou

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Neural networks, nVidia, Tesla M2050

May 29, 2012 by hgpu

Explicit Cache Management for Volume Ray-Casting on Parallel Architectures

Daniel Jonsson, Per Ganestam, Anders Ynnerman, Michael Doggett, Timo Ropinski

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Rendering

May 29, 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

Parallel Agent systems on a GPU for use with Simulations and Games

Reservoir Simulation on NVIDIA Tesla GPUs

Towards Distributed Heterogenous High-Performance Computing with ViennaCL

MPI-ACC: An Integrated and Extensible Approach to Data Movement in Accelerator-Based Systems

A Data-Parallel Extension to Ruby for GPGPU

clSpMV: A Cross-Platform OpenCL SpMV Framework on GPUs

X-Device Query Processing by Bitwise Distribution

COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks

A fight for performance and accuracy of the matrix multiplication routines: CUBLAS on Nvidia Tesla versus MKL and ATLAS on Intel Nehalem

Using OpenCL to Calculate a Pressure Field

Massively Parallel Neural Encoding and Decoding of Visual Stimuli

Explicit Cache Management for Volume Ray-Casting on Parallel Architectures

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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