high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming » CUDA

Synergia CUDA: GPU-accelerated accelerator modeling package

Q. Lu, J. Amundson

View

Download (PDF)

Source codes

Tags: CUDA, FFT, GPU cluster, MPI, nVidia, Package, Particle-in-cell methods, Physics, Tesla C1070, Tesla K20

June 17, 2014 by hgpu

NaNet: a Low-Latency, Real-Time, Multi-Standard Network Interface Card with GPUDirect Features

A. Lonardo, F. Ameli, R. Ammendola, A. Biagioni, O. Frezza, G. Lamanna, F. Lo Cicero, M. Martinelli, P. S. Paolucci, E. Pastorelli, L. Pontisso, D. Rossetti, F. Simeone, F. Simula, M. Sozzi, L. Tosoratto, P. Vicini

View

Download (PDF)

Tags: CUDA, FPGA, Instrumentation and Detectors, nVidia, Physics, Tesla M2070

June 16, 2014 by hgpu

Airborne radar clutter simulation using GPU (CUDA)

Priyanka A P, Channabasappa Baligar

View

Download (PDF)

Tags: CUDA, nVidia, nVidia Quadro FX 380, Signal processing

June 15, 2014 by hgpu

A Parallel Algorithm of PCA-SIFT Based on CUDA

Ping Zhang, Yongqi Sun, Hao Shen, Rui Zhang

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 240, OpenCV, Pattern recognition, SIFT

June 15, 2014 by hgpu

Scalable Lattice Boltzmann Solvers for CUDA GPU Clusters

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

View

Download (PDF)

Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, nVidia, OpenMPI, Tesla M2070

June 15, 2014 by hgpu

Image Denoising Using Wavelet Transform and CUDA

Hovhannes M. Bantikyan

View

Download (PDF)

Tags: Algorithms, Compression, CUDA, Discrete Wavelet Transform, Image processing, nVidia, nVidia GeForce GT 630

June 14, 2014 by hgpu

A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems

F. Campeotto, A. Dovier, F. Fioretto, E. Pontelli

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, Optimization, Search

June 14, 2014 by hgpu

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

Azzam Haidar, Chongxiao Cao, Asim YarKhan, Piotr Luszczek, Stanimire Tomov, Khairul Kabir, Jack Dongarra

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, nVidia, Tesla K20, Tesla M2090

June 14, 2014 by hgpu

Realizing Accelerated Cost-Effective Distributed RAID

Aleksandr Khasymski, M. Mustafa Rafique, Ali R. Butt, Sudharshan S. Vazhkudai, Dimitrios S. Nikolopoulos

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Storage system, Tesla C2070, Tesla X2090

June 13, 2014 by hgpu

LTE Physical Layer Implementation Using GPU Based High Performance Computing

Sangeeta Bhattacharjee, Satyendra Singh Yadav, Sarat Kumar Patra

View

Download (PDF)

Tags: CUDA, FFT, nVidia, Signal processing, Tesla M2090

June 13, 2014 by hgpu

GPU-accelerated Computation for Statistical Analysis of the Next-Generation Sequencing Data

Yilan Liu

View

Download (PDF)

Tags: Bioinformatics, Biology, Computer science, CUDA, Next-Generation sequencing, nVidia, nVidia GeForce GTX 770

June 13, 2014 by hgpu

Performance Improvement of Data Mining in Weka through GPU Acceleration

Tiago Augusto Engel, Andrea Schwertner Charao, Manuele Kirsch-Pinheiro, Luiz-Angelo Steffenel

View

Download (PDF)

Source codes

Tags: Comuter science, CUDA, Data mining, Java, Matrix multiplication, nVidia, nVidia Quadro K 2000, Package, Tesla K20, Tesla M2050

June 13, 2014 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

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

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

Generating Literature-Driven Scientific Theories at Scale

* * *

high performance computing on graphics processing units: hgpu.org

Programming

Synergia CUDA: GPU-accelerated accelerator modeling package

NaNet: a Low-Latency, Real-Time, Multi-Standard Network Interface Card with GPUDirect Features

Airborne radar clutter simulation using GPU (CUDA)

A Parallel Algorithm of PCA-SIFT Based on CUDA

Scalable Lattice Boltzmann Solvers for CUDA GPU Clusters

Image Denoising Using Wavelet Transform and CUDA

A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems

Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment

Realizing Accelerated Cost-Effective Distributed RAID

LTE Physical Layer Implementation Using GPU Based High Performance Computing

GPU-accelerated Computation for Statistical Analysis of the Next-Generation Sequencing Data

Performance Improvement of Data Mining in Weka through GPU Acceleration

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

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

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

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

Awesome LLM-Driven Kernel Generation

Most viewed papers (last 30 days)