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A GPU Tool for Efficient, Accurate, and Realistic Simulation of Cone Beam CT Projections

Xun Jia, Hao Yan, Laura Cervino, Michael Folkerts, Steve B. Jiang

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Tags: Algorithms, Computed tomography, CT, Medical Physics, nVidia, nVidia GeForce GTX 580, Physics, Raytracing

May 3, 2012 by hgpu

A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

Jiri Jaros, Petr Pospichal

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 580, Package, Performance

May 2, 2012 by hgpu

GPU Acceleration for the C++ Standard Template Library

Christian DeLozier

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 570, OpenCL, Package, Programming techniques, Software Engineering

May 2, 2012 by hgpu

Random number generators for massively parallel simulations on GPU

Markus Manssen, Martin Weigel, Alexander K. Hartmann

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Tags: Algorithms, Computational Physics, CUDA, High Energy Physics - Lattice, Molecular dynamics, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Physics, Pseudo-random number generators, Review, Statistical Mechanics

May 1, 2012 by hgpu

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

Rafael Ponce, Miguel Cardenas-Montes, Juan Jose Rodriguez-Vazquez, Eusebio Sanchez, Ignacio Sevilla

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Tags: Algorithms, Astrophysics, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia, nVidia GeForce GTX 295, Package, Tesla C1060, Tesla C2050

May 1, 2012 by hgpu

Solving Stochastic Differential Equations Using General Purpose Graphics Processing Unit

Lev Alexandrovich Neiman

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2075

April 28, 2012 by hgpu

Random Walks based Multi-Image Segmentation: Quasiconvexity Results and GPU-based Solutions

Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh

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Tags: Algorithms, CUDA, Image processing, Linear Algebra, nVidia, nVidia GeForce GTX 470, Optimization

April 28, 2012 by hgpu

High-Performance Code Generation for Stencil Computations on GPU Architectures

Justin Holewinski, Louis-Noel Pouchet, P. Sadayappan

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Tags: Algorithms, ATI, ATI Radeon HD 6550, Code generation, Compilers, Computer science, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, OpenCL, Programming Languages, Programming techniques, Tesla C2050

April 28, 2012 by hgpu

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Manuel Freiberger, Florian Knoll, Kristian Bredies, Hermann Scharfetter, Rudolf Stollberger

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 480, Package, Tomography

April 28, 2012 by hgpu

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization, Performance, Tesla C2070

April 28, 2012 by hgpu

The Case for Higher Computational Density in the Memory-Bound FDTD Method within Multicore Environments

Mohammed F. Hadi

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Tesla C2050

April 27, 2012 by hgpu

The Bones Source-to-Source Compiler Manual

Cedric Nugteren

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Tags: Algorithms, Code generation, Computer science, CUDA, MPI, nVidia, OpenCL, Package

April 25, 2012 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

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high performance computing on graphics processing units: hgpu.org

A GPU Tool for Efficient, Accurate, and Realistic Simulation of Cone Beam CT Projections

A Fair Comparison of Modern CPUs and GPUs Running the Genetic Algorithm under the Knapsack Benchmark

GPU Acceleration for the C++ Standard Template Library

Random number generators for massively parallel simulations on GPU

Application of GPUs for the Calculation of Two Point Correlation Functions in Cosmology

Solving Stochastic Differential Equations Using General Purpose Graphics Processing Unit

Random Walks based Multi-Image Segmentation: Quasiconvexity Results and GPU-based Solutions

High-Performance Code Generation for Stencil Computations on GPU Architectures

The AGILE library for image reconstruction in biomedical sciences using graphics card hardware acceleration

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

The Case for Higher Computational Density in the Memory-Bound FDTD Method within Multicore Environments

The Bones Source-to-Source Compiler Manual

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

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