high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » CUDA

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Laurent A. Baumes, Frederic Kruger, Pierre Collet

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Materials Science, nVidia, nVidia GeForce GTX 275, Package

January 21, 2012 by hgpu

Fast Graph Cuts using Shrink-Expand Reparameterization

Parikshit Sakurikar, P. J. Narayanan

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580, Optimization

January 21, 2012 by hgpu

On the Correctness of the SIMT Execution Model of GPUs

Axel Habermaier, Alexander Knapp

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Task scheduling, Thesis

January 20, 2012 by hgpu

Experiences in Teaching a Specialty Multicore Computing Course

Peter E. Strazdins

View

Download (PDF)

Source codes

Tags: Cloud, Computer science, CUDA, Education, nVidia, Package, Virtualization

January 20, 2012 by hgpu

Efficient fMRI Analysis and Clustering on GPUs

B.E. Dharneesh Talasu

View

Download (PDF)

Tags: Clustering, CUDA, Heterogeneous systems, Hierarchical clustering, Image processing, Medicine, MRI, nVidia, nVidia GeForce 9400 M, Thesis

January 20, 2012 by hgpu

Dynamically Managed Data for CPU-GPU Architectures

Thomas B. Jablin, James A. Jablin, Prakash Prabhu, Feng Liu, David I. August

View

Download (PDF)

Tags: Computer science, CUDA, Data Structures and Algorithms, Memory model, nVidia, nVidia GeForce GTX 480, Performance

January 19, 2012 by hgpu

Platform Characterization for Domain-Specific Computing

Alex Bui, Kwang-Ting (Tim) Cheng, Jason Cong, Luminita Vese, Yi-Chu Wang, Bo Yuan, Yi Zou

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Tesla C1060

January 19, 2012 by hgpu

Human Re-identification System On Highly Parallel GPU and CPU Architectures

Slawomir Bak, Krzysztof Kurowski, Krystyna Napierala

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Tesla S1070

January 19, 2012 by hgpu

Power Profiling and Optimization for Heterogeneous Multi-Core Systems

Kuen Hung Tsoi, Wayne Luk

View

Download (PDF)

Tags: Computer science, CUDA, Design space exploration, Energy-efficient computing, FPGA, Heterogeneous systems, N-body simulation, nVidia, Optimization, Tesla C1060

January 19, 2012 by hgpu

A Compile-Time Managed Multi-Level Register File Hierarchy

Mark Gebhart, Stephen W. Keckler, William J. Dally

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, nVidia, Optimization, PTX

January 19, 2012 by hgpu

Parallel Optimization of Queries in XML Dataset Using GPU

Xujie Si, Airu Yin, Xiaocheng Huang, Xiaojie Yuan, Xiaoguang Liu, Gang Wang

View

Download (PDF)

Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Optimization

January 18, 2012 by hgpu

Solving the Boltzmann equation on GPUs

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

View

Download (PDF)

Tags: Boltzmann equation, CUDA, Finite difference, Fluid dynamics, nVidia, nVidia GeForce GTX 260, Particle simulation

January 18, 2012 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

Programming

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Fast Graph Cuts using Shrink-Expand Reparameterization

On the Correctness of the SIMT Execution Model of GPUs

Efficient fMRI Analysis and Clustering on GPUs

Dynamically Managed Data for CPU-GPU Architectures

Platform Characterization for Domain-Specific Computing

Human Re-identification System On Highly Parallel GPU and CPU Architectures

Power Profiling and Optimization for Heterogeneous Multi-Core Systems

A Compile-Time Managed Multi-Level Register File Hierarchy

Parallel Optimization of Queries in XML Dataset Using GPU

Solving the Boltzmann equation on GPUs

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)