high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

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

Hardware-Efficient Belief Propagation

Chia-Kai Liang, Chao-Chung Cheng, Yen-Chieh Lai, Liang-Gee Chen, Homer H. Chen

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS

April 13, 2011 by hgpu

Speeding up K-Means Algorithm by GPUs

You Li, Kaiyong Zhao, Xiaowen Chu, Jiming Liu

Tags: Algorithms, Computer science, Matrix multiplication, Optimization

April 13, 2011 by hgpu

Accelerate Cache Simulation with Generic GPU

Wan Han, Gao Xiaopeng, Wang Zhiqiang

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

April 13, 2011 by hgpu

NQueens on CUDA: Optimization Issues

Frank Feinbube, Bernhard Rabe, Martin von Lowis, Andreas Polze

Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization

April 13, 2011 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

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

Hardware-Efficient Belief Propagation

Speeding up K-Means Algorithm by GPUs

Accelerate Cache Simulation with Generic GPU

NQueens on CUDA: Optimization Issues

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

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