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Scientific Computation on Graphics Processing Unit using CUDA

Pradip Narendrakumar Panchal

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Tags: Computer science, CUDA, Differential equations, FDTD, Finite difference, Finite-difference time-domain, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs, Thesis

January 23, 2012 by hgpu

Exact Symbolic-Numeric Computation of Planar Algebraic Curves

Eric Berberich, Pavel Emeliyanenko, Alexander Kobel, Michael Sagraloff

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, nVidia GeForce GTX 580, Symbolic Computation

January 23, 2012 by hgpu

A New Approach to rCUDA

Jose Duato, Antonio J. Pena, Federico Silla, Juan C. Fernandez, Rafael Mayo, Enrique S. Quintana-Orti

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, Virtualization

January 23, 2012 by hgpu

Computing optical flow using fast total variation

Arthur Masson

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Tags: Algorithms, Computer science, OpenCL, Optical flow, Optimization, Thesis

January 23, 2012 by hgpu

Revision of Relational Joins for Multi-Core and Many-Core Architectures

Martin Krulis, Jakub Yaghob

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Tags: Algorithms, Computer science, CUDA, Databases, Join, nVidia, nVidia GeForce GTX 580

January 22, 2012 by hgpu

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing

Xuyuan Jin

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Tags: Cluster computing, Code generation, Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 570

January 21, 2012 by hgpu

OpenCL for Database Query Processing

Georgios Krespis

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce 9600 M, OpenCL, Thesis

January 21, 2012 by hgpu

Markov Chain Monte Carlo on the GPU

Michael D. Dumont

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Tags: Algorithms, Computer science, Monte Carlo simulation, nVidia, nVidia GeForce GT 330 M, OpenCL, Thesis

January 21, 2012 by hgpu

Parallel FEM Simulation Using GPUs

Vishnukanthan Kandasamy

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Tags: Computer science, CUDA, FEM, Finite element method, MPI, nVidia

January 21, 2012 by hgpu

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Laurent A. Baumes, Frederic Kruger, Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Materials Science, nVidia, nVidia GeForce GTX 275, Package

January 21, 2012 by hgpu

Direct Visualization of Particle-Partition of Unity Data

M. Uffinger, M. A. Schweitzer, F. Sadlo, T. Ertl

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Tags: Algorithms, Computer science, GLSL, Image generation, nVidia, nVidia GeForce GTX 470, OpenGL, Visualization

January 21, 2012 by hgpu

The State of the Art in Interactive Global Illumination

Tobias Ritschel, Carsten Dachsbacher, Thorsten Grosch, Jan Kautz

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Raytracing, Rendering, Review

January 21, 2012 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Scientific Computation on Graphics Processing Unit using CUDA

Exact Symbolic-Numeric Computation of Planar Algebraic Curves

A New Approach to rCUDA

Computing optical flow using fast total variation

Revision of Relational Joins for Multi-Core and Many-Core Architectures

Automatic Code Generation and Adaptive Grid Scheduling for GPU Cluster Computing

OpenCL for Database Query Processing

Markov Chain Monte Carlo on the GPU

Parallel FEM Simulation Using GPUs

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Direct Visualization of Particle-Partition of Unity Data

The State of the Art in Interactive Global Illumination

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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