high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

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

GPU-Based Implementations of the Noniterative Regularized-CCSD(T) Corrections: Applications to Strongly Correlated Systems

Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski

Tags: Chemistry, Molecular modeling

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

GPU-based high-speed and high-precision visual tracking

E. Ito, S. Saga, T. Okatani, K. Deguchi

Tags: Image processing, Video tracking

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

GPU acceleration of method of moments matrix assembly using Rao-Wilton-Glisson basis functions

E. Lezar, D.B. Davidson

Tags: CUDA, Electrodynamics, nVidia

April 14, 2011 by hgpu

Accelerating spatial clustering detection of epidemic disease with graphics processing unit

Sisi Zhao, Chenghu Zhou

Tags: CUDA, Earth and Space Sciences, Medicine, Monte Carlo simulation, nVidia

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

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

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

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

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high performance computing on graphics processing units: hgpu.org

Applications

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

Implementation of Jacobi iterative method on graphics processor unit

GPU-Based Implementations of the Noniterative Regularized-CCSD(T) Corrections: Applications to Strongly Correlated Systems

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

GPU-based high-speed and high-precision visual tracking

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

GPU acceleration of method of moments matrix assembly using Rao-Wilton-Glisson basis functions

Accelerating spatial clustering detection of epidemic disease with graphics processing unit

Scaleable Sparse Matrix-Vector Multiplication with Functional Memory and GPUs

Recent source codes

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

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

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Most viewed papers (last 30 days)