high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Navier-Stokes on programmable graphics hardware using SMAC

C.E. Scheidegger, J.L.D. Comba, R.D. da Cunha

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Tags: Algorithms, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5900, OpenGL, Package

July 28, 2011 by hgpu

Real-Time Discriminative Background Subtraction

Li Cheng, Minglun Gong, Dale Schuurmans, Terry Caelli

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Tags: Algorithms, ATI, ATI Mobility FireGL V5700, Computer vision, Image processing, Package, Real-time graphics

July 27, 2011 by hgpu

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Cedric Augonnet, Jerome Clet-Ortega, Samuel Thibault, Raymond Namyst

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5800, Package, Prefetch, Task scheduling, Tesla S1070

July 26, 2011 by hgpu

Parallel simulation of Petri nets on desktop PC hardware

Robert Geist, Jacob Hicks, Mark Smotherman, James Westall

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Tags: Algorithms, Cg, Computer science, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5950, Package, Performance

July 18, 2011 by hgpu

Boosting sphere decoding speed through Graphic Processing Units

Muhammad S. Khairy, Christian Mehlfuhrer, Markus Rupp

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Tags: Computer science, CUDA, MIMO, Network communications, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 285, Package

July 17, 2011 by hgpu

hiCUDA: High-Level GPGPU Programming

Tianyi David Han, Tarek S. Abdelrahman

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT, Package, Presentation

July 17, 2011 by hgpu

Mars: Accelerating MapReduce with Graphics Processors

Wenbin Fang, Bingsheng He, Qiong Luo, N.K. Govindaraju

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Tags: Computer science, CUDA, MapReduce, nVidia, nVidia GeForce GTX 280, Package, Presentation

July 17, 2011 by hgpu

High-performance bankruptcy prediction model using Graphics Processing Units

Bernardete Ribeiro, Noel Lopes, Catarina Silva

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Tags: Finance, Neural networks, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Package

July 16, 2011 by hgpu

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

Matthew J. Sottile, Craig E Rasmussen, Wayne N. Weseloh, Robert W. Robey, Daniel Quinlan, Jeffrey Overbey

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Tags: Computer science, Fortran, nVidia, OpenCL, Package, Programming Languages, Tesla C2050

July 14, 2011 by hgpu

Pseudo-random number generation for Brownian Dynamics and Dissipative Particle Dynamics simulations on GPU devices

Carolyn L. Phillips, Joshua A. Anderson, Sharon C. Glotzer

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Tags: Algorithms, Computer science, Package, Physics, Pseudo-random number generators

July 6, 2011 by hgpu

Using Graphic Processing Unit in Block Cipher Calculations (thesis)

Urmas Rosenberg

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Tags: AES, Block Ciphers, Cg, Computer science, CUDA, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 8800 GTS, OpenGL, Package, Security, Thesis

July 5, 2011 by hgpu

Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedup

Andrew T. Magis, John C. Earls, Youn-Hee H. Ko, James A. Eddy, Nathan D. Price

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Package

July 1, 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

Applications

Navier-Stokes on programmable graphics hardware using SMAC

Real-Time Discriminative Background Subtraction

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Parallel simulation of Petri nets on desktop PC hardware

Boosting sphere decoding speed through Graphic Processing Units

hiCUDA: High-Level GPGPU Programming

Mars: Accelerating MapReduce with Graphics Processors

High-performance bankruptcy prediction model using Graphics Processing Units

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

Pseudo-random number generation for Brownian Dynamics and Dissipative Particle Dynamics simulations on GPU devices

Using Graphic Processing Unit in Block Cipher Calculations (thesis)

Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedup

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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