high performance computing on graphics processing units: hgpu.org

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Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

R. Suda, Da Qi Ren

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GTS

April 16, 2011 by hgpu

Accelerating Particle Swarm Algorithm with GPGPU

M. Cadenas-Montes, M.A. Vega-Rodriguez, J.J. Rodriguez-Vazquez, A. Gomez-Iglesias

Tags: Algorithms, Computer science, Evolutionary Computations, Optimization

April 16, 2011 by hgpu

Emerging technology about GPGPU

Enhua Wu, Youquan Liu

Tags: Computer science, Fluid simulation

April 15, 2011 by hgpu

MVAPICH2-GPU: optimized GPU to GPU communication for InfiniBand clusters

Hao Wang, Sreeram Potluri, Miao Luo, Ashish Kumar Singh, Sayantan Sur, Dhabaleswar K. Panda

Tags: Computer science, CUDA, MPI, Network communications, nVidia

April 15, 2011 by hgpu

Implementation of Jacobi iterative method on graphics processor unit

Tao Wang, Yuan Yao, Lin Han, Dan Zhang, Yuanyuan Zhang

Tags: Computer science, CUDA, Linear Algebra, nVidia

April 15, 2011 by hgpu

Parallel On-Chip Power Distribution Network Analysis on Multi-Core-Multi-GPU Platforms

Zhuo Feng, Zhiyu Zeng, Peng Li

Tags: Computer science, Conjugate gradient solver, Networks

April 15, 2011 by hgpu

The development of Mellanox/NVIDIA GPUDirect over InfiniBand-a new model for GPU to GPU communications

Gilad Shainer, Ali Ayoub, Pak Lui, Tong Liu, Michael Kagan, Christian Trott, Greg Scantlen, Paul Crozier

Tags: Computer science, Memory model, Molecular dynamics, Network communications, Networks, nVidia, Tesla

April 15, 2011 by hgpu

Massively parallel implementation of cyclic LDPC codes on a general purpose graphics processing unit

Hyunwoo Ji, Junho Cho, Wonyong Sung

Tags: Computer science, CUDA, Error recovery, nVidia

April 14, 2011 by hgpu

Count Sort for GPU Computing

Weidong Sun, Zongmin Ma

Tags: Algorithms, Computer science, CUDA, nVidia, Sorting

April 14, 2011 by hgpu

A high-performance fault-tolerant software framework for memory on commodity GPUs

Naoya Maruyama, Akira Nukada, Satoshi Matsuoka

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Tags: Computer science, CUDA, Fault simulation, FFT, Matrix multiplication, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, Tesla S1070

April 14, 2011 by hgpu

Scaleable Sparse Matrix-Vector Multiplication with Functional Memory and GPUs

Noboru Tanabe, Yuuka Ogawa, Masami Takata, Kazuki Joe

Tags: Computer science, Heterogeneous systems, Matrix multiplication, Sparse matrix

April 14, 2011 by hgpu

Efficient design and implementation of visual computing algorithms on the GPU

In Kyu Park, Nitin Singhal, Man Hee Lee, Sungdae Cho

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Tags: Algorithms, Computer vision, CUDA, Image processing, JPEG2000, nVidia, nVidia GeForce 9800 GTX, OpenMP

April 14, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

Applications

Accurate Measurements and Precise Modeling of Power Dissipation of CUDA Kernels toward Power Optimized High Performance CPU-GPU Computing

Accelerating Particle Swarm Algorithm with GPGPU

Emerging technology about GPGPU

MVAPICH2-GPU: optimized GPU to GPU communication for InfiniBand clusters

Implementation of Jacobi iterative method on graphics processor unit

Parallel On-Chip Power Distribution Network Analysis on Multi-Core-Multi-GPU Platforms

The development of Mellanox/NVIDIA GPUDirect over InfiniBand-a new model for GPU to GPU communications

Massively parallel implementation of cyclic LDPC codes on a general purpose graphics processing unit

Count Sort for GPU Computing

A high-performance fault-tolerant software framework for memory on commodity GPUs

Scaleable Sparse Matrix-Vector Multiplication with Functional Memory and GPUs

Efficient design and implementation of visual computing algorithms on the GPU

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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