high performance computing on graphics processing units: hgpu.org

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Scalable Verification Techniques for Data-Parallel Programs

Nathan Yong Seng Chong

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Tags: ARM, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla M2050, Thesis

November 25, 2014 by hgpu

A GPU-based framework for efficient image processing

Per Karlsson

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Tags: CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 760, OpenCL, OpenGL, Python, Thesis

November 20, 2014 by hgpu

Using CUDA architecture for computer simulations of thermomechanical phenomena

Grzegorz Michalski, Norbert Sczygiol, Siergiei Leonov

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 200, Solidification

November 20, 2014 by hgpu

Automatic Performance Tuning of Pipeline Patterns for Heterogeneous Parallel Architectures

E. Bajrovic, S. Benkner

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, OpenCV, Performance, Tesla C2050, Tesla K20

November 20, 2014 by hgpu

CL2QCD – Lattice QCD based on OpenCL

Owe Philipsen, Christopher Pinke, Alessandro Sciarra, Matthias Bach

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Tags: AMD FirePro S10000, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Physics, QCD, Tesla K40

November 20, 2014 by hgpu

Using Graphics Processing Units to solve the classical N-body problem in physics and astrophysics

Mario Spera

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Tags: Astrophysics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, QCD

November 20, 2014 by hgpu

OPNET: An Integrated Design Paradigm for Simulations

Sparsh Mittal

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Tags: curriculum, Education, Network communications, Networking and Internet Architecture, simulation, survey

November 20, 2014 by sparsh0mittal

A Study of Successive Over-relaxation Method Parallelization Over Modern HPC Languages

Sparsh Mittal

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Tags: cpu, multithreading, parallel computing, Parallel programming, Parallelization

November 20, 2014 by sparsh0mittal

FPGA: An Efficient And Promising Platform For Real-Time Image Processing Applications

Sparsh Mittal, Saket Gupta, Sudeb Dasgupta

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Tags: DSP, FPGA, Image processing, survey

November 19, 2014 by sparsh0mittal

Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs

O. Kaczmarek, C. Schmidt, P. Steinbrecher, M. Wagner

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Tags: Computational Physics, Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Intel Xeon Phi, Mathematical Software, nVidia, Physics, Tesla K20, Tesla K40

November 18, 2014 by hgpu

Hybrid CPU-GPU Pipeline Framework

Fahad Khalid, Frank Feinbube, Andreas Polze

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Tags: Biology, Computational biology, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 680

November 18, 2014 by hgpu

Processing Hard Sphere Collisions on a GPU Using OpenCL

Zachary Langbert, Mark C. Lewis

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Tags: ATI, ATI Radeon HD 7970, Collision detection, Computer science, nVidia, nVidia GeForce GTX 670, OpenCL

November 18, 2014 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

Scalable Verification Techniques for Data-Parallel Programs

A GPU-based framework for efficient image processing

Using CUDA architecture for computer simulations of thermomechanical phenomena

Automatic Performance Tuning of Pipeline Patterns for Heterogeneous Parallel Architectures

CL2QCD – Lattice QCD based on OpenCL

Using Graphics Processing Units to solve the classical N-body problem in physics and astrophysics

OPNET: An Integrated Design Paradigm for Simulations

A Study of Successive Over-relaxation Method Parallelization Over Modern HPC Languages

FPGA: An Efficient And Promising Platform For Real-Time Image Processing Applications

Conjugate gradient solvers on Intel Xeon Phi and NVIDIA GPUs

Hybrid CPU-GPU Pipeline Framework

Processing Hard Sphere Collisions on a GPU Using OpenCL

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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