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Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

Lukas Gillsjo

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Tags: Algorithms, ATI, ATI Radeon R9 280X, Computer science, Filtering, Image processing, nVidia, OpenCL, RSA, Security, Tesla M2050, Thesis

April 4, 2015 by hgpu

Distributed wideband software-defined radio receiver for heterogeneous systems

Arnaud Durand

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Tags: AMD Radeon R9 290, ATI, Heterogeneous systems, OpenCL, Signal processing, Thesis

April 1, 2015 by hgpu

Generating Null Models for Large-Scale Networks on GPU

Huan Li, Gang Lu, Junxia Guo

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Tags: C++ AMP, Computer science, Networks, nVidia, nVidia GeForce GTX 480

April 1, 2015 by hgpu

Microbranching in mode-I fracture using large scale simulations of amorphous and perturbed lattice models

Shay I. Heizler, David A. Kessler

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Tags: Condensed matter, CUDA, nVidia, Soft Condensed Matter, Statistical Mechanics, Tesla

April 1, 2015 by hgpu

Separable projection integrals for higher-order correlators of the cosmic microwave sky: Acceleration by factors exceeding 100

J. Briggs, J. Jaykka, J. R. Fergusson, E. P. S. Shellard, S. J. Pennycook

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Tags: Astrophysics, Computer science, Intel Xeon Phi, MPI, OpenMP

April 1, 2015 by hgpu

Parameter Selection and Pre-Conditioning for a Graph Form Solver

Christopher Fougner, Stephen Boyd

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Tags: CUDA, Mathematics, nVidia, Tesla K40

April 1, 2015 by hgpu

Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware

Tobias Rawald, Mike Sips, Norbert Marwan, Ulf Leser

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Tags: ATI, ATI Radeon HD 7470, Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 690, OpenCL

March 30, 2015 by hgpu

Face Retriever: Pre-filtering the Gallery via Deep Neural Net

Dayong Wang, Anil K. Jain

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Tags: Algorithms, Computer science, Computer vision, CUDA, Deep learning, Filtering, Machine learning, Neural networks, nVidia, Tesla K20

March 30, 2015 by hgpu

Accelerating complex brain-model simulations on GPU platforms

H.A. Du Nguyen, Zaid Al-Ars, Georgios Smaragdos, Christos Strydis

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Tags: Biology, CUDA, nVidia, nVidia GeForce GT 640, nVidia GeForce GTX 480, Tesla C2075, Tesla K20

March 30, 2015 by hgpu

High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study

Gloria Ortega Lopez

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Tags: Computer science, CUDA, Differential equations, FEM, Finite difference, Finite element method, GPU cluster, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Package, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Tesla M2070, Tesla M2090, Thesis, Tomography

March 30, 2015 by hgpu

Real-time multi-view deconvolution

Benjamin Schmid, Jan Huisken

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Tags: Biology, CUDA, Microscopy, nVidia, nVidia GeForce GTX Titan, Package

March 30, 2015 by hgpu

Loo.py: From Fortran to performance via transformation and substitution rules

Andreas Klockner

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Tags: Code generation, Computer science, Fortran, OpenCL, Package, Python

March 28, 2015 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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high performance computing on graphics processing units: hgpu.org

Applications

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

Distributed wideband software-defined radio receiver for heterogeneous systems

Generating Null Models for Large-Scale Networks on GPU

Microbranching in mode-I fracture using large scale simulations of amorphous and perturbed lattice models

Separable projection integrals for higher-order correlators of the cosmic microwave sky: Acceleration by factors exceeding 100

Parameter Selection and Pre-Conditioning for a Graph Form Solver

Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware

Face Retriever: Pre-filtering the Gallery via Deep Neural Net

Accelerating complex brain-model simulations on GPU platforms

High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study

Real-time multi-view deconvolution

Loo.py: From Fortran to performance via transformation and substitution rules

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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