high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

A new multi-core pipelined architecture for executing sequential programs for parallel geospatial computing

Duoduo Liao, Simon Y. Berkovich

Tags: Computer science, Programming techniques

August 28, 2011 by hgpu

Automating GPU computing in MATLAB

Chun-Yu Shei, Pushkar Ratnalikar, Arun Chauhan

Tags: Compilers, Computer science, Heterogeneous systems, Performance

August 28, 2011 by hgpu

CUDA accelerated iris template matching on Graphics Processing Units (GPUs)

N.A. Vandal, M. Savvides

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Tags: Computer science, Computer vision, CUDA, FPGA, nVidia, nVidia GeForce GTX 470, Security

August 28, 2011 by hgpu

Real-time task reconfiguration support applied to an UAV-based surveillance system

Alecio Pedro Delazari Binotto, Edison Pignaton de Freitas, Carlos Eduardo Pereira, Andre Stork, Tony Larsson

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce 8800 GT

August 28, 2011 by hgpu

Collaborative execution environment for heterogeneous parallel systems

Aleksandar Ilic, Leonel Sousa

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Tags: Computer science, CUBLAS, CUDA, Data parallelism, FFT, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Presentation

August 28, 2011 by hgpu

Global Illumination for Advanced Computer Graphics

M. Robart, S. Hill, E. Tanguy

Tags: 3D Graphics and Realism, Algorithms, Computer science, Overview, Rasterization, Raytracing, Rendering

August 28, 2011 by hgpu

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

Kalyan S. Perumalla

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Tags: Computer science, CUDA, MPI, nVidia, Performance, Review

August 27, 2011 by hgpu

directCell: hybrid systems with tightly coupled accelerators

H. Penner, U. Bacher, J. Kunigk, C. Rund, H. J. Schick

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Tags: Cell processor, Computer science, Hybrid computing, Performance

August 27, 2011 by hgpu

A breadth-first course in multicore and manycore programming

Suzanne Rivoire

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Tags: Computer science, CUDA, High-level Languages, nVidia, OpenMP, Programming techniques

August 27, 2011 by hgpu

A structured parallel periodic arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms

Xue-Xin Liu, Hao Yu, Jacob Relles, Sheldon X.-D. Tan

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Tags: Algorithms, CAD, Computer science, CUDA, Numerical Analysis, nVidia, Performance, Tesla C1060

August 27, 2011 by hgpu

Automatic contention detection and amelioration for data-intensive operations

John Cieslewicz, Kenneth A. Ross, Kyoho Satsumi, Yang Ye

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Tags: Computer science, Databases, Performance

August 27, 2011 by hgpu

Fast and sleek glyph rendering for interactive HARDI data exploration

T.H.J.M. Peeters, V. Prckovska, M. van Almsick, A. Vilanova, B.M. ter Haar Romeny

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Tags: 3D Graphics and Realism, Computer science, Diffusion tensor, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce 8800 GTX, Probability, Rendering, Visualization

August 27, 2011 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

A new multi-core pipelined architecture for executing sequential programs for parallel geospatial computing

Automating GPU computing in MATLAB

CUDA accelerated iris template matching on Graphics Processing Units (GPUs)

Real-time task reconfiguration support applied to an UAV-based surveillance system

Collaborative execution environment for heterogeneous parallel systems

Global Illumination for Advanced Computer Graphics

Switching to High Gear: Opportunities for Grand-Scale Real-Time Parallel Simulations

directCell: hybrid systems with tightly coupled accelerators

A breadth-first course in multicore and manycore programming

A structured parallel periodic arnoldi shooting algorithm for RF-PSS analysis based on GPU platforms

Automatic contention detection and amelioration for data-intensive operations

Fast and sleek glyph rendering for interactive HARDI data exploration

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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