high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Tilman Dannert, Andreas Marek, Markus Rampp

View

Tags: Computational Physics, CUDA, GPU cluster, Heterogeneous systems, nVidia, PC cluster, Physics, Plasma physics, Solar and Stellar Astrophysics, Tesla K20

October 8, 2013 by hgpu

Performance evaluation of CUDA programming for machining simulation

Felix Abecassis, Sylvain Lavernhe, Christophe Tournier, Pierre-Alain Boucard

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia Quadro 4000, Physics

October 7, 2013 by hgpu

GPU Accelerated Conjunction Assessment with Applications to Formation Flight and Space Debris Tracking

Abel Brown, Jason Tichy, Michael Demoret, David Rand

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, nVidia, Tesla M2050

October 7, 2013 by hgpu

Numerical integration on GPUs for higher order finite elements

Krzysztof Banas, Przemyslaw Plaszewski, Pawel Maciol

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, FEM, Finite element method, Mathematical Software, nVidia, nVidia GeForce GTX 580, OpenCL

October 7, 2013 by hgpu

Measurements of performance of hardware and general purpose classical molecular dynamics simulation software

Jose O. Sotero-Esteva

View

Download (PDF)

Tags: CUDA, Molecular dynamics, nVidia, Physics, Tesla C2075

October 5, 2013 by hgpu

Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUs

Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar

View

Download (PDF)

Tags: Code generation, Computer science, Java, nVidia, OpenCL, Tesla M2050

October 5, 2013 by hgpu

Parametric GPU Code Generation for Affine Loop Programs

Athanasios Konstantinidis, Paul H. J. Kelly, J. Ramanujam, P. Sadayappan

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 580, OpenCL, Package, Tesla K20, Tesla M2070

October 5, 2013 by hgpu

GPU Based Generation and Real-Time Rendering of Semi-Procedural Terrain Using Features

Simon Zaaijer

View

Download (PDF)

Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Real-time graphics, Rendering, Thesis

October 5, 2013 by hgpu

Performance Portability Evaluation for OpenACC on Intel Knights Corner and Nvidia Kepler

Yichao Wang, Qiang Qin, Simon Chong Wee SEE, James Lin

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Intel Phi, nVidia, OpenACC, Tesla K20

October 4, 2013 by hgpu

Facial Expression Recognition – Review

Umesh Balkrishna Chavan, Dinesh B Kulkarni

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, Pattern recognition

October 4, 2013 by hgpu

Parallel Computing Using GPU for Efficient Traffic Simulation

Sadat Sakif Ahmed

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560, Thesis, Vehicular traffic

October 4, 2013 by hgpu

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Alin Florindor Murarasu

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia Quadro 6000, Thesis

October 4, 2013 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Porting Large HPC Applications to GPU Clusters: The Codes GENE and VERTEX

Performance evaluation of CUDA programming for machining simulation

GPU Accelerated Conjunction Assessment with Applications to Formation Flight and Space Debris Tracking

Numerical integration on GPUs for higher order finite elements

Measurements of performance of hardware and general purpose classical molecular dynamics simulation software

Speculative Execution of Parallel Programs with Precise Exception Semantics on GPUs

Parametric GPU Code Generation for Affine Loop Programs

GPU Based Generation and Real-Time Rendering of Semi-Procedural Terrain Using Features

Performance Portability Evaluation for OpenACC on Intel Knights Corner and Nvidia Kepler

Facial Expression Recognition – Review

Parallel Computing Using GPU for Efficient Traffic Simulation

Advanced Optimization Techniques for Sparse Grids on Modern Heterogeneous Systems

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

Most viewed papers (last 30 days)