high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

A Case Study for Petascale Applications in Astrophysics: Simulating Gamma-Ray Bursts

C. D. Ott, E. Schnetter, G. Allen, E. Seidel, J. Tao, B. Zink

View

Download (PDF)

Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro FX 5600

February 28, 2011 by hgpu

A general relativistic evolution code on CUDA architectures

Burkhard Zink

View

Download (PDF)

Tags: Astrophysics, CUDA, Finite difference, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro FX 5600

February 28, 2011 by hgpu

Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era

Amr Hassan, Christopher J. Fluke

View

Download (PDF)

Tags: Astrophysics, Instrumentation and Methods for Astrophysics, Review, Visualization

February 28, 2011 by hgpu

Bothnia: a dual-personality extension to the Intel integrated graphics driver

Gautham N. Chinya, Jamison D. Collins, Perry H. Wang, Hong Jiang, Guei Y. Lueh, Thomas A. Piazza, Hong Wang

Tags: Computer science, Intel, Intel GMA X3000, Programming techniques

February 28, 2011 by hgpu

Calculation by articificial compressibility method and virtual flux method on GPU

I. Tanno, K. Morinishi, N. Satofuka, Y. Watanabe

Tags: CUDA, Fluid dynamics, nVidia

February 28, 2011 by hgpu

STOCHSIMGPU: Parallel stochastic simulation for the Systems Biology Toolbox 2 for MATLAB

Guido Klingbeil, Radek Erban, Mike Giles, Philip K. Maini

View

Download (PDF)

Source codes

Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 8800, Package, Stochastic simulation

February 28, 2011 by hgpu

Automatic data movement and computation mapping for multi-level parallel architectures with explicitly managed memories

Muthu Manikandan Baskaran, Uday Bondhugula, Sriram Krishnamoorthy, J. Ramanujam, Atanas Rountev, P. Sadayappan

View

Download (PDF)

Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Performance

February 28, 2011 by hgpu

Fast and Memory Efficient GPU-Based Rendering of Tensor Data

Mario Hlawitschka, Sebastian Eichelbaum, Gerik Scheuermann

View

Download (PDF)

Tags: Computer science, OpenGL, Physics, Rendering, Visualization

February 27, 2011 by hgpu

Efficient hierarchical parallel genetic algorithms using grid computing

Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee

View

Download (PDF)

Tags: Algorithms, Computer science, Genetic programming, Grid

February 27, 2011 by hgpu

GPU ray casting of virtual globes

Patrick Cozzi, Frank Stoner

View

Download (PDF)

Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8400 GS, Rendering, Visualization

February 27, 2011 by hgpu

Data Mining and Machine Learning in Astronomy

Nicholas M. Ball, Robert J. Brunner

View

Download (PDF)

Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Data mining, Instrumentation and Methods for Astrophysics, nVidia, Review

February 27, 2011 by hgpu

Data Buffering Optimization Methods toward a Uniform Programming Interface for GPU-based Applications

Shinichi Yamagiwa, Leonel Sousa, Diogo Antao

View

Download (PDF)

Tags: Computer science, DirectX, nVidia, nVidia GeForce 7400 GO, OpenGL, Programming techniques

February 27, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

A Case Study for Petascale Applications in Astrophysics: Simulating Gamma-Ray Bursts

A general relativistic evolution code on CUDA architectures

Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era

Bothnia: a dual-personality extension to the Intel integrated graphics driver

Calculation by articificial compressibility method and virtual flux method on GPU

STOCHSIMGPU: Parallel stochastic simulation for the Systems Biology Toolbox 2 for MATLAB

Automatic data movement and computation mapping for multi-level parallel architectures with explicitly managed memories

Fast and Memory Efficient GPU-Based Rendering of Tensor Data

Efficient hierarchical parallel genetic algorithms using grid computing

GPU ray casting of virtual globes

Data Mining and Machine Learning in Astronomy

Data Buffering Optimization Methods toward a Uniform Programming Interface for GPU-based Applications

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)