high performance computing on graphics processing units: hgpu.org

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Robust GPGPU plugin development for RapidMiner

Andor Kovacs, Zoltan Prekopcsak

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Tags: Algorithms, Computer science, CUDA, Data mining, Nearest neighbour, nVidia, nVidia GeForce GTX 480

July 18, 2012 by hgpu

CuNesl: Compiling Nested Data-Parallel Languages for SIMT Architectures

Yongpeng Zhang, Frank Mueller

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480

July 17, 2012 by hgpu

Interactively Simulating Fluid based on SPH and CUDA

Yige Tang, Zhongke Wu, Mingquan Zhou

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Tags: Computer science, CUDA, Fluid simulation, GLSL, nVidia, nVidia GeForce GTX 570, OpenGL

July 17, 2012 by hgpu

CUSIMANN: An optimized simulated annealing software for GPUs

Ana Maria Ferreiro Ferreiro, Jose Antonio Garcia Rodriguez, Jose German Lopez Salas, Carlos Vazquez Cendon

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Package

July 17, 2012 by hgpu

Multicore and Manycore Algorithms for Octrees

Dhanavath Saida

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

July 17, 2012 by hgpu

Optimizing MapReduce for GPUs with effective shared memory usage

Linchuan Chen, Gagan Agrawal

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Tags: Computer science, Heterogeneous systems, MapReduce, Memory, nVidia, nVidia Quadro FX 5800, Performance

July 16, 2012 by hgpu

Sparse Matrix-Vector Multiplication on NVIDIA GPU

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

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050, Tesla C2070

July 16, 2012 by hgpu

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

Kiran Kumar Matam, Siva Rama Krishna Bharadwaj, Kishore Kothapalli

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Sparse matrix, Tesla C2050

July 16, 2012 by hgpu

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Abdullah Gharaibeh, Lauro Beltrao Costa, Elizeu Santos-Neto, Matei Ripeanu

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Tags: Computer science, CUDA, Graph theory, Heterogeneous systems, nVidia, Optimization, Performance, Programming Languages, Programming techniques, Tesla C2050

July 16, 2012 by hgpu

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

William H. Dillon (William Hall)

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Tags: ATI, ATI Radeon HD 4870, Computer science, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL

July 16, 2012 by hgpu

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

Muhammad Mobeen Movania, Feng Lin, Kemao Qian, Wei Ming Chiew, Hock Soon Seah

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Tags: Algorithms, Computer science, FEM, Finite element method, GLSL, nVidia, nVidia Quadro FX 5800, OpenGL, Real-time graphics, Rendering

July 15, 2012 by hgpu

ab-Stream: A Framework for programming Many-core

Xinbiao Gan, Zhiying Wang, Li Shen, Qi Zhu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Performance

July 15, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Robust GPGPU plugin development for RapidMiner

CuNesl: Compiling Nested Data-Parallel Languages for SIMT Architectures

Interactively Simulating Fluid based on SPH and CUDA

CUSIMANN: An optimized simulated annealing software for GPUs

Multicore and Manycore Algorithms for Octrees

Optimizing MapReduce for GPUs with effective shared memory usage

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Sparse Matrix Matrix Multiplication on Hybrid CPU+GPU Platforms

A Yoke of Oxen and a Thousand Chickens for Heavy Lifting Graph Processing

Distributed OpenCL: a platform for distributed, heterogeneous computing for domain scientists

Coupling between Meshless FEM Modeling and Rendering on GPU for Real-time Physically-based Volumetric Deformation

ab-Stream: A Framework for programming Many-core

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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