high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

Roger Viet Hoang

View

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 570, Performance, Tesla C2050, Thesis, Virtual reality

May 23, 2014 by hgpu

A Comparison of Massively Parallel Programming Models Through Applications in Sound Propagation and Jitter Measurement

Torbjorn Panton Loken

View

Download (PDF)

Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenGL, Thesis, Thrust

May 23, 2014 by hgpu

A Tool for Interactive Parallelization

Ritu Arora, Julio Olaya, Madhav Gupta

View

Download (PDF)

Tags: Computer science, CUDA, MPI, nVidia, Programming techniques

May 21, 2014 by hgpu

Vector Quantization: A Many-Core Approach

Rita Silva, Telmo Marques, Jorge Desirat, Patricio Domingues

View

Download (PDF)

Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Vector quantization

May 21, 2014 by hgpu

3D Object Recognition using Convolutional Neural Networks with Transfer Learning between Input Channels

Luis A. Alexandre

View

Download (PDF)

Tags: CNN, Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia, nVidia GeForce GTX 680

May 21, 2014 by hgpu

Simulation Studies of Viral Advertisement Diffusion on Multi-GPU

Jiangming Jin, Stephen John Turner, Bu-Sung Lee, Jianlong Zhong, Bingsheng He

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Tesla C2050

May 21, 2014 by hgpu

A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication

Jeremy Fowers, Kalin Ovtcharov, Karin Strauss, Eric S. Chung, Greg Stitt

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Sparse matrix

May 21, 2014 by hgpu

Developing a compiler for the XeonPhi

Paul Cockshott, Susanne Oehler, Tian Xu

View

Download (PDF)

Tags: Compilers, Computer science, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTX 770, Performance

May 21, 2014 by hgpu

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

David Klemish

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Particle filtering, Programming techniques, Thesis, Thrust

May 21, 2014 by hgpu

Exploiting Parallelism in GPUs

Blake Alan Hechtman

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Thesis

May 20, 2014 by hgpu

Parallel Approaches to Edit Distance and Approximate String Matching

Cary Yang, Kevin Zhang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, String matching

May 20, 2014 by hgpu

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Tingxing Dong, Veselin Dobrev, Tzanio Kolev, Robert Rieben, Stanimire Tomov, Jack Dongarra

View

Download (PDF)

Tags: Computer science, CUDA, FEM, Finite element method, Linear Algebra, nVidia, Tesla K20

May 20, 2014 by hgpu

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

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

An Extensible Component-based Approach to Simulation Systems on Heterogeneous Clusters

A Comparison of Massively Parallel Programming Models Through Applications in Sound Propagation and Jitter Measurement

A Tool for Interactive Parallelization

Vector Quantization: A Many-Core Approach

3D Object Recognition using Convolutional Neural Networks with Transfer Learning between Input Channels

Simulation Studies of Viral Advertisement Diffusion on Multi-GPU

A High Memory Bandwidth FPGA Accelerator for Sparse Matrix-Vector Multiplication

Developing a compiler for the XeonPhi

A Comparison of Serial & Parallel Particle Filters for Time Series Analysis

Exploiting Parallelism in GPUs

Parallel Approaches to Edit Distance and Approximate String Matching

A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU

Recent source codes

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

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

Most viewed papers (last 30 days)