CUDA | Page 336 | hgpu.org

Programming

A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

Shuaiwen Song, Chunyi Su, Barry Rountree, Kirk W. Cameron

View

Tags: Biomolecules, Computer science, CUDA, Electrostatics, Energy-efficient computing, GPU cluster, Heterogeneous systems, Machine learning, nVidia, Tesla C2075, Tesla M2090

February 18, 2013 by hgpu

Hybrid parallel programming – evaluation of OpenACC

Leonardo Piletti Chatain

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 480, OpenACC, Thesis

February 15, 2013 by hgpu

pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video

Florian Seidel, Clemens Hage, Martin Kleinsteuber

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 660 Ti

February 15, 2013 by hgpu

MATLAB and Python for GPU Computing

Jose Unpingco, Juan Carlos Chaves

View

Download (PDF)

Tags: Computer science, CUDA, Image processing, nVidia, nVidia GeForce 9800 GTS, nVidia GeForce 9800 GX2, Python, Signal processing, Tesla C1060, Tesla C2050

February 15, 2013 by hgpu

Urban Regional Seismic Damage Prediction Based On GPU-CPU Hybrid Computing

B. Han, X.Z. Lu, Z. Xu

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Hybrid computing, nVidia, Seismic modeling

February 15, 2013 by hgpu

Massively Parallel Computing in Economics

Eric M. Aldrich

View

Download (PDF)

Source codes

Tags: CUDA, Finance, nVidia, Package, Review, Stochastic simulation, Tesla C2075

February 15, 2013 by hgpu

Enhancing Performance of Meshfree Methods by Hybrid Computing

Yo-Ming Hsieh, Mao-Sen Pan

View

Download (PDF)

Tags: Computer science, CUDA, FEM, Finite element method, Hybrid computing, nVidia, Tesla C2050

February 14, 2013 by hgpu

The Dual-Path Execution Model for Efficient GPU Control Flow

Minsoo Rhu, Mattan Erez

View

Download (PDF)

Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance

February 14, 2013 by hgpu

Nonlinear dynamic finite element analysis with GPU

T. Bahcecioglu, O. Kurc

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Nonlinear analysis, nVidia, Tesla C2050

February 14, 2013 by hgpu

Efficient Exploitation of Heterogeneous Platforms for Images Features Extraction

Sidi Ahmed Mahmoudi, Pierre Manneback

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 280, Pattern recognition, Tesla C1060

February 14, 2013 by hgpu

Finite-size scaling method for the Berezinskii-Kosterlitz-Thouless transition

Yun-Da Hsieh, Ying-Jer Kao, A. W. Sandvik

View

Download (PDF)

Tags: Condensed matter, CUDA, nVidia, Physics, Statistical Mechanics, Tesla C2090

February 14, 2013 by hgpu

Evaluation of Standardized Password-based Key Derivation against Parallel Processing Platforms

Markus Durmuth, Tim Guneysu, Markus Kasper, Christof Paar, Tolga Yalcin, Ralf Zimmermann

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, GPU cluster, nVidia, Review, Security, Tesla C2070

February 14, 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

Programming

A Simplified and Accurate Model of Power-Performance Efficiency on Emergent GPU Architectures

Hybrid parallel programming – evaluation of OpenACC

pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video

MATLAB and Python for GPU Computing

Urban Regional Seismic Damage Prediction Based On GPU-CPU Hybrid Computing

Massively Parallel Computing in Economics

Enhancing Performance of Meshfree Methods by Hybrid Computing

The Dual-Path Execution Model for Efficient GPU Control Flow

Nonlinear dynamic finite element analysis with GPU

Efficient Exploitation of Heterogeneous Platforms for Images Features Extraction

Finite-size scaling method for the Berezinskii-Kosterlitz-Thouless transition

Evaluation of Standardized Password-based Key Derivation against Parallel Processing Platforms

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)