high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » CUDA

Measuring the Performance of Realtime DSP Using Pure Data and GPU

Andre Jucovsky Bianchi, Marcelo Queiroz

View

Download (PDF)

Tags: CUDA, DSP, FFT, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 470, Signal processing

October 8, 2012 by hgpu

GPU Accelerated NIDS Search

Kristian Nordhaug

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Security, Thesis

October 8, 2012 by hgpu

CUTE solutions for two-point correlation functions from large cosmological datasets

David Alonso

View

Download (PDF)

Source codes

Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro NVS 4200 M, Package, Tesla C2070

October 8, 2012 by hgpu

GPGPU accelerated optimization method of Interconnection Network Topology

Vladimir Siladi, Ladislav Huraj, Michal Povinsky

View

Download (PDF)

Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 9800 GT, Optimization

October 6, 2012 by hgpu

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Eric Hayden, Mark Schmalz, William Chapman, Sanjay Ranka, Sartaj Sahni, Gunasekaran Seetharaman

View

Download (PDF)

Tags: Algorithms, CUDA, GPU cluster, Image reconstruction, nVidia, Signal processing, Tesla C2050

October 6, 2012 by hgpu

Architectural explorations for streaming accelerators with customized memory layouts

Muhammad Shafiq

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, Tesla C2050, Thesis

October 6, 2012 by hgpu

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

Piotr Pawliczek, Witold Dzwinel, David A. Yuen

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data mining, MPI, Multidimensional scaling, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 Ultra, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 260, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla M2050, Visualization

October 6, 2012 by hgpu

An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA

Massimo Panella, Luigi Basset

View

Download (PDF)

Tags: Algorithms, Compression, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 295, Signal processing

October 6, 2012 by hgpu

Using Commodity Coprocessors for Host Intrusion Detection

Mark M. Seeger

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data acquisition, nVidia, Security, Thesis

October 5, 2012 by hgpu

An ultrasonic imaging system based on a new SAFT approach and a GPU beamformer

Carlos J. Martin-Arguedas, David Romero-Laorden, Oscar Martinez-Graullera, Manuel Perez-Lopez Luis Gomez-Ullate

View

Download (PDF)

Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 295, Ultrasound

October 5, 2012 by hgpu

Parallel Algorithm of IDCT with GPUs and CUDA for Large-scale Video Quality of 3G

Qingkui Chen, Haifeng Wang, Songlin Zhuang, Bocheng Liu

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

October 5, 2012 by hgpu

Redefining the Role of the CPU in the Era of CPU-GPU Integration

Manish Arora, Siddhartha Nath, Subhra Mazumdar, Scott Baden, Dean Tullsen

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280

October 4, 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

Measuring the Performance of Realtime DSP Using Pure Data and GPU

GPU Accelerated NIDS Search

CUTE solutions for two-point correlation functions from large cosmological datasets

GPGPU accelerated optimization method of Interconnection Network Topology

Techniques for Mapping Synthetic Aperture Radar Processing Algorithms to Multi-GPU Clusters

Architectural explorations for streaming accelerators with customized memory layouts

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

An Efficient GPU Implementation of Modified Discrete Cosine Transform Using CUDA

Using Commodity Coprocessors for Host Intrusion Detection

An ultrasonic imaging system based on a new SAFT approach and a GPU beamformer

Parallel Algorithm of IDCT with GPUs and CUDA for Large-scale Video Quality of 3G

Redefining the Role of the CPU in the Era of CPU-GPU Integration

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)