high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Mathematics

Scandalously Parallelizable Mesh Generation

David Bortz, Andrew Christlieb

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Tags: Algorithms, Mathematics, Numerical Analysis, Partial differential equations, PDEs

March 29, 2011 by hgpu

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

John C. Quinn, Henry D. I. Abarbanel

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Tags: Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 460, Physics, Probability, Statistics

March 28, 2011 by hgpu

Some of the What?, Why?, How?, Who? and Where? of Graphics Processing Unit Computing for Bayesian Analysis

Marc A. Suchard, Chris Holmes, Mike West

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Tags: Bayesian, CUDA, Mathematics, nVidia, Review, Statistics

March 4, 2011 by hgpu

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

Marc A. Suchard, Quanli Wang, Cliburn Chan, Jacob Frelinger, Andrew Cron, Mike West

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Source codes

Tags: Bayesian, CUDA, Mathematics, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GTX 285, Package, Statistics, Tesla C1060

March 4, 2011 by hgpu

Application of Assembly of Finite Element Methods on Graphics Processors for Real-Time Elastodynamics

Cris Cecka, Adrian Lew, Eric Darve

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Tags: CUDA, Finite element method, Mathematics, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs

March 2, 2011 by hgpu

Mixed-Precision GPU-Multigrid Solvers with Strong Smoothers

Dominik Goddeke, Robert Strzodka

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Tags: CUDA, Mathematics, Mixed precision, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

March 2, 2011 by hgpu

Finite Element Integration on GPUs

Matthew G. Knepley, Andy R. Terrel

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Tags: CUDA, Finite element method, Mathematical Software, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 285

March 2, 2011 by hgpu

GPU Acceleration of Runge-Kutta Integrators

Lawrence Murray

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Tags: Algorithms, CUDA, Mathematics, nVidia, ODEs, Ordinary differential equations

February 22, 2011 by hgpu

A Mixed-Precision Algorithm for the Solution of Lyapunov Equations on Hybrid CPU-GPU Platforms

Peter Benner, Pablo Ezzatti, Daniel Kressner, Enrique S. Quintana-Orti, Alfredo Remon

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Tags: CUBLAS, CUDA, Mathematics, Mixed precision, nVidia, Tesla C1060

January 16, 2011 by hgpu

Constraint-based LN-curves

Young Joon Ahn, Christoph M. Hoffmann

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Tags: Mathematics, nVidia, nVidia GeForce GTX 285

January 11, 2011 by hgpu

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

Pierre Kestener, Frederic Chateau, Romain Teyssier

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Tags: CUDA, Mathematics, Numerical simulation, nVidia, nVidia GeForce 8800 GTX, Tesla S1070

January 2, 2011 by hgpu

A parallel immune algorithm for traveling salesman problem and its application on cold rolling scheduling

Jun Zhao, Quanli Liu, Wei Wang, Zhuoqun Wei, Peng Shi

Tags: Computer science, Mathematics

December 20, 2010 by hgpu

Brian2 Atlas

A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelLens: Deploying Triton Kernels to C++ Inference Engines

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Scandalously Parallelizable Mesh Generation

Data Assimilation using a GPU Accelerated Path Integral Monte Carlo Approach

Some of the What?, Why?, How?, Who? and Where? of Graphics Processing Unit Computing for Bayesian Analysis

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

Application of Assembly of Finite Element Methods on Graphics Processors for Real-Time Elastodynamics

Mixed-Precision GPU-Multigrid Solvers with Strong Smoothers

Finite Element Integration on GPUs

GPU Acceleration of Runge-Kutta Integrators

A Mixed-Precision Algorithm for the Solution of Lyapunov Equations on Hybrid CPU-GPU Platforms

Constraint-based LN-curves

Accelerating Euler Equations Numerical Solver on Graphics Processing Units

A parallel immune algorithm for traveling salesman problem and its application on cold rolling scheduling

Recent source codes

Brian2 Atlas

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

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