high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia

Data analysis and 3D evolution in High Energy Physics using graphic processor

Alexandru Jipa, Ciprian-Mihai Mitu, Mihai Niculescu, Sorin-Ion Zgura

View

Tags: CUDA, Molecular dynamics, Nuclear physics, nVidia, nVidia GeForce 9600 GT, Physics, Visualization

December 11, 2011 by hgpu

ALICE HLT High Speed Tracking on GPU

S. Gorbunov, D. Rohr, K. Aamodt, T. Alt, H. Appelshauser, A. Arend, M. Bach, B. Becker, S. Bottger, T. Breitner, H. Busching, S. Chattopadhyay, J. Cleymans, I. Das,O. Djuvsland, H. Erdal, R. Fearick, O. S. Haaland, P. T. Hille, S. Kalcher, K. Kanaki, U. Kebschull, I. Kisel, M. Kretz, C. Lara, S. Lindal, V. Lindenstruth, A. A. Masoodi, G. Ovrebekk, R. Panse, J. Peschek, M. Ploskon, T. Pocheptsov, T. Rascanu, M. Richter, D. Rohrich, B. Skaali, T. Steinbeck, A. Szostak, J. Thader, T. Tveter, K. Ullaland, Z. Vilakazi, R. Weis, P. Zelnicek

View

Tags: Algorithms, CUDA, Nuclear Experiment, Nuclear physics, nVidia, nVidia GeForce GT 200, Pattern recognition, Physics

December 11, 2011 by hgpu

Evaluating graph coloring on GPUs

A.V. Pascal Grosset, Peihong Zhu, Shusen Liu, Suresh Venkatasubramanian, Mary Hall

View

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Performance, Programming techniques

December 11, 2011 by hgpu

Achieving High Throughput Sequencing with Graphics Processing Units

Su Chen, Chaochao Zhang, Feng Shen, Ling Bai, Hai Jiang, Damir Herman

View

Tags: Algorithms, Bioinformatics, Computer science, CUDA, nVidia, Sequence alignment, Tesla C2050

December 10, 2011 by hgpu

Particle Simulation on a GPU with PyCUDA

Min Ragan-Kelley

View

Tags: CUDA, nVidia, nVidia GeForce GTX 260, Particle simulation, Particle-in-cell methods, Physics, Plasma physics, Python, Tesla C1060

December 10, 2011 by hgpu

Real-time intraoperative full-range complex FD-OCT guided cerebral blood vessel identification and brain tumor resection in neurosurgery

Kang Zhang, Yong Huang, Gustavo Pradilla, Betty Tyler, Jin U. Kang

View

Tags: CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 480, Tomography, Visualization

December 10, 2011 by hgpu

A New Morphological Anomaly Detection Algorithm for Hyperspectral Images and its GPU Implementation

Abel Paz, Antonio Plaza

View

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 275

December 10, 2011 by hgpu

Fast and Robust Pyramid-based Image Processing

Sylvain Paris, Samuel W. Hasinoff, Jan Kautz, Mathieu Aubry, Fredo Durand

View

Tags: Algorithms, Filtering, Image processing, nVidia, nVidia GeForce GTX 480

December 10, 2011 by hgpu

Real-time dual-mode standard/complex Fourier-domain OCT system using graphics processing unit accelerated 4D signal processing and visualization

Kang Zhang, Jin U. Kang

View

Tags: CUDA, FFT, Medicine, nVidia, nVidia GeForce GTX 480, Rendering, Signal processing, Tomography, Visualization

December 10, 2011 by hgpu

Fast and Memory-Efficient Minimum Spanning Tree on the GPU

Scott Rostrup, Shweta Srivastava, Kishore Singhal

View

Tags: Algorithms, Computer science, Graph theory, nVidia, Performance, Tesla S1070, Tesla T10

December 10, 2011 by hgpu

Multi-Science Applications with Single Codebase – GAMER – for Massively Parallel Architectures

Hemant Shukla, Hsi-Yu Schive, Tak-Pong Woo, Tzihong Chiueh

View

Tags: Algorithms, Astrophysics, Benchmarking, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Physics, Rendering, Tesla C2050

December 10, 2011 by hgpu

Playdoh: A lightweight Python library for distributed computing and optimisation

Cyrille Rossant, Bertrand Fontaine, Dan F.M. Goodman

View

Tags: Computer science, CUDA, Differential equations, Distributed computing, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Package, Partial differential equations, PDEs, Python

December 10, 2011 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

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

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

Vortex-Optimized Light-weight Toolchain (VOLT)

Inside VOLT: Designing an Open-Source GPU Compiler (Tool)

SciDef: Automated Definition Extraction from Scientific Literature

SciDef: Automating Definition Extraction from Academic Literature with Large Language Models

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

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

* * *

* * *

HGPU group © 2010-2026 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: