high performance computing on graphics processing units: hgpu.org

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Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

Guibin Wang, Tao Tang, Xudong Fang, Xiaoguang Ren

Tags: Benchmarking, Brook, Computer science, CUDA, nVidia, Performance

April 8, 2011 by hgpu

CANSCID-CUDA

Michael Steffen, Veerendra Allada, Phillip Jones and Joseph Zambreno

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Tags: Computer science, CUDA, nVidia, Python, String matching, Tesla

April 8, 2011 by hgpu

High throughput multiple-precision GCD on the CUDA architecture

N. Fujimoto

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

April 7, 2011 by hgpu

Scalability of Higher-Order Discontinuous Galerkin FEM Computations for Solving Electromagnetic Wave Propagation Problems on GPU Clusters

Nico Godel, Nigel Nunn, Tim Warburton, Markus Clemens

Tags: CUDA, Electrodynamics, Finite element method, GPU cluster, nVidia

April 7, 2011 by hgpu

Using GPU to Accelerate Cache Simulation

Wan Han, Gao Xiaopeng, Wang Zhiqiang, Li Yi

Tags: Algorithms, Computer science, CUDA, Memory, nVidia, Optimization

April 7, 2011 by hgpu

Accelerating Phase Correlation Functions Using GPU and FPGA

Kentaro Matsuo, Tsuyoshi Hamada, Masayuki Miyoshi, Yuichiro Shibata, and Kiyoshi Oguri

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Tags: Computer science, CUDA, FFT, FPGA, Image registration, nVidia, nVidia GeForce 8800 GTS

April 7, 2011 by hgpu

A Neighborhood Grid Data Structure for Massive 3D Crowd Simulation on GPU

Mark Joselli, Erick Baptista Passos, Marcelo Zamith, Esteban Walter Gonzalez Clua, Anselmo Montenegro, Bruno Feijo

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Tags: Cellular automata, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

April 7, 2011 by hgpu

Practical examples of GPU computing optimization principles

Goorts, Patrik; Rogmans, Sammy; Vanden Eynde, Steven; Bekaert, Philippe;

Tags: Computer science, CUDA, DirectCompute, nVidia, OpenCL, Programming techniques

April 7, 2011 by hgpu

ARKCoS: Artifact-Suppressed Accelerated Radial Kernel Convolution on the Sphere

Franz Elsner, Benjamin D. Wandelt

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Tags: Astrophysics, CUDA, Image processing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 480, Physics

April 7, 2011 by hgpu

Scaling Hierarchical N-body Simulations on GPU Clusters

Pritish Jetley, Lukasz Wesolowski, Filippo Gioachin, Laxmikant V. Kale, Thomas R. Quinn

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Tags: Astrophysics, Cosmology, CUDA, GPU cluster, N-body simulation, nVidia, nVidia GeForce 8800 GTS, Physics, Tesla S1070

April 7, 2011 by hgpu

An algorithmic incremental and iterative development method to parallelize dusty-deck FORTRAN HPC codes in GPGPUs using CUDA

N. Ghaemian, M. Sharifi, B. Minaei,R. Orujov

Tags: Computer science, CUDA, Fortran, High-level Languages, nVidia

April 6, 2011 by hgpu

High Performance Hybrid Functional Petri Net Simulations of Biological Pathway Models on CUDA

Georgios Chalkidis, Masao Nagasaki, Satoru Miyano

Tags: Algorithms, Computer science, CUDA, nVidia, Path problems

April 6, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

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

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high performance computing on graphics processing units: hgpu.org

Program Optimization of Array-Intensive SPEC2k Benchmarks on Multithreaded GPU Using CUDA and Brook+

CANSCID-CUDA

High throughput multiple-precision GCD on the CUDA architecture

Scalability of Higher-Order Discontinuous Galerkin FEM Computations for Solving Electromagnetic Wave Propagation Problems on GPU Clusters

Using GPU to Accelerate Cache Simulation

Accelerating Phase Correlation Functions Using GPU and FPGA

A Neighborhood Grid Data Structure for Massive 3D Crowd Simulation on GPU

Practical examples of GPU computing optimization principles

ARKCoS: Artifact-Suppressed Accelerated Radial Kernel Convolution on the Sphere

Scaling Hierarchical N-body Simulations on GPU Clusters

An algorithmic incremental and iterative development method to parallelize dusty-deck FORTRAN HPC codes in GPGPUs using CUDA

High Performance Hybrid Functional Petri Net Simulations of Biological Pathway Models on CUDA

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Tutoring LLM into a Better CUDA Optimizer

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

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